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ORCIDYulia Tsvetkov
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- affiliation: University of Washington, Paul G. Allen School of Computer Science and Engineering, USA
- affiliation: Carnegie Mellon University, Pittsburgh, PA, USA
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2020 – today
- 2024
[c117]Lucille Njoo, Lee Janzen-Morel, Inna Wanyin Lin, Yulia Tsvetkov:
Mental Health Stigma across Diverse Genders in Generative Large Language Models - Abstract (abstract). ML4CMH@AAAI 2024: 41- [c116]Wenxuan Ding, Shangbin Feng, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov:
Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models. ACL (Findings) 2024: 2609-2636 - [c115]Herun Wan, Shangbin Feng, Zhaoxuan Tan, Heng Wang, Yulia Tsvetkov, Minnan Luo:
DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection. ACL (Findings) 2024: 2637-2667 - [c114]Yichen Wang, Shangbin Feng, Abe Bohan Hou, Xiao Pu, Chao Shen, Xiaoming Liu, Yulia Tsvetkov, Tianxing He:
Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks. ACL (1) 2024: 2894-2925 - [c113]Shangbin Feng, Herun Wan, Ningnan Wang, Zhaoxuan Tan, Minnan Luo, Yulia Tsvetkov:
What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection. ACL (1) 2024: 3580-3601 - [c112]Fahim Faisal, Orevaoghene Ahia, Aarohi Srivastava, Kabir Ahuja, David Chiang, Yulia Tsvetkov, Antonios Anastasopoulos:
DIALECTBENCH: An NLP Benchmark for Dialects, Varieties, and Closely-Related Languages. ACL (1) 2024: 14412-14454 - [c111]Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov:
Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration. ACL (1) 2024: 14664-14690 - [c110]Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov:
Beyond the Stethoscope: Operationalizing Interactive Clinical Reasoning in Large Language Models via Proactive Information Seeking. ICHI 2024: 567 - [c109]Sachin Kumar, Chan Young Park, Yulia Tsvetkov:
Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions. ICLR 2024 - [c108]Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov:
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models. ICLR 2024 - [c107]Niloofar Mireshghallah, Hyunwoo Kim
, Xuhui Zhou, Yulia Tsvetkov, Maarten Sap, Reza Shokri, Yejin Choi:
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory. ICLR 2024 - [c106]Melanie Sclar, Yejin Choi, Yulia Tsvetkov, Alane Suhr:
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting. ICLR 2024 - [c105]Roy Xie, Orevaoghene Ahia, Yulia Tsvetkov, Antonios Anastasopoulos:
Extracting Lexical Features from Dialects via Interpretable Dialect Classifiers. NAACL (Short Papers) 2024: 54-69 - [c104]Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, Wen-tau Yih:
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding. NAACL (Short Papers) 2024: 783-791 - [c103]Akari Asai, Sneha Kudugunta, Xinyan Yu, Terra Blevins, Hila Gonen, Machel Reid, Yulia Tsvetkov, Sebastian Ruder, Hannaneh Hajishirzi:
BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer. NAACL-HLT 2024: 1771-1800 - [c102]Yuhan Liu, Shangbin Feng, Xiaochuang Han, Vidhisha Balachandran, Chan Young Park, Sachin Kumar, Yulia Tsvetkov:
P³Sum: Preserving Author's Perspective in News Summarization with Diffusion Language Models. NAACL-HLT 2024: 2154-2173 - [c101]Mengke Zhang, Tianxing He, Tianle Wang, Lu Mi, Niloofar Mireshghallah, Binyi Chen, Hao Wang, Yulia Tsvetkov:
LatticeGen: Hiding Generated Text in a Lattice for Privacy-Aware Large Language Model Generation on Cloud. NAACL-HLT (Findings) 2024: 2674-2690 - [c100]Abe Bohan Hou, Jingyu Zhang, Tianxing He, Yichen Wang, Yung-Sung Chuang, Hongwei Wang, Lingfeng Shen, Benjamin Van Durme, Daniel Khashabi, Yulia Tsvetkov:
SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation. NAACL-HLT 2024: 4067-4082 - [c99]Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov, Marjan Ghazvininejad:
David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs. NAACL-HLT 2024: 8385-8400 - [c98]Yuyang Bai, Shangbin Feng, Vidhisha Balachandran, Zhaoxuan Tan, Shiqi Lou, Tianxing He, Yulia Tsvetkov:
KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models. WWW 2024: 2226-2237 - [i116]Abhika Mishra, Akari Asai, Vidhisha Balachandran, Yizhong Wang, Graham Neubig, Yulia Tsvetkov, Hannaneh Hajishirzi:
Fine-grained Hallucination Detection and Editing for Language Models. CoRR abs/2401.06855 (2024) - [i115]Alisa Liu, Xiaochuang Han, Yizhong Wang, Yulia Tsvetkov, Yejin Choi, Noah A. Smith:
Tuning Language Models by Proxy. CoRR abs/2401.08565 (2024) - [i114]Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov:
Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration. CoRR abs/2402.00367 (2024) - [i113]Shangbin Feng, Herun Wan, Ningnan Wang, Zhaoxuan Tan, Minnan Luo, Yulia Tsvetkov:
What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection. CoRR abs/2402.00371 (2024) - [i112]Michael Duan, Anshuman Suri, Niloofar Mireshghallah, Sewon Min, Weijia Shi, Luke Zettlemoyer, Yulia Tsvetkov, Yejin Choi, David Evans, Hannaneh Hajishirzi:
Do Membership Inference Attacks Work on Large Language Models? CoRR abs/2402.07841 (2024) - [i111]Herun Wan, Shangbin Feng, Zhaoxuan Tan, Heng Wang, Yulia Tsvetkov, Minnan Luo:
DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection. CoRR abs/2402.10426 (2024) - [i110]Yichen Wang, Shangbin Feng, Abe Bohan Hou, Xiao Pu, Chao Shen, Xiaoming Liu, Yulia Tsvetkov, Tianxing He:
Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks. CoRR abs/2402.11638 (2024) - [i109]Roy Xie, Orevaoghene Ahia, Yulia Tsvetkov, Antonios Anastasopoulos:
Extracting Lexical Features from Dialects via Interpretable Dialect Classifiers. CoRR abs/2402.17914 (2024) - [i108]Aly M. Kassem, Omar Mahmoud, Niloofar Mireshghallah, Hyunwoo Kim, Yulia Tsvetkov, Yejin Choi, Sherif Saad, Santu Rana:
Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMs. CoRR abs/2403.04801 (2024) - [i107]Fahim Faisal, Orevaoghene Ahia, Aarohi Srivastava, Kabir Ahuja, David Chiang, Yulia Tsvetkov, Antonios Anastasopoulos:
DIALECTBENCH: A NLP Benchmark for Dialects, Varieties, and Closely-Related Languages. CoRR abs/2403.11009 (2024) - [i106]Yu Ying Chiu, Liwei Jiang, Maria Antoniak, Chan Young Park, Shuyue Stella Li, Mehar Bhatia, Sahithya Ravi, Yulia Tsvetkov, Vered Shwartz, Yejin Choi:
CulturalTeaming: AI-Assisted Interactive Red-Teaming for Challenging LLMs' (Lack of) Multicultural Knowledge. CoRR abs/2404.06664 (2024) - [i105]Kabir Ahuja, Vidhisha Balachandran, Madhur Panwar, Tianxing He, Noah A. Smith, Navin Goyal, Yulia Tsvetkov:
Learning Syntax Without Planting Trees: Understanding When and Why Transformers Generalize Hierarchically. CoRR abs/2404.16367 (2024) - [i104]Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Jonathan Ilgen, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov:
MEDIQ: Question-Asking LLMs for Adaptive and Reliable Clinical Reasoning. CoRR abs/2406.00922 (2024) - [i103]Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov:
Teaching LLMs to Abstain across Languages via Multilingual Feedback. CoRR abs/2406.15948 (2024) - [i102]Shangbin Feng, Taylor Sorensen, Yuhan Liu, Jillian Fisher, Chan Young Park, Yejin Choi, Yulia Tsvetkov:
Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration. CoRR abs/2406.15951 (2024) - [i101]Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xiaochuang Han, Tianxing He, Yulia Tsvetkov:
Can LLM Graph Reasoning Generalize beyond Pattern Memorization? CoRR abs/2406.15992 (2024) - [i100]Orevaoghene Ahia, Anuoluwapo Aremu, Diana Abagyan, Hila Gonen, David Ifeoluwa Adelani, Daud Abolade, Noah A. Smith, Yulia Tsvetkov:
Voices Unheard: NLP Resources and Models for Yorùbá Regional Dialects. CoRR abs/2406.19564 (2024) - [i99]Chan Young Park, Shuyue Stella Li, Hayoung Jung, Svitlana Volkova, Tanushree Mitra, David Jurgens, Yulia Tsvetkov:
ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social Interactions. CoRR abs/2407.02472 (2024) - [i98]Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Valentin Hoffman, Tomasz Limisiewicz, Yulia Tsvetkov, Noah A. Smith:
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization. CoRR abs/2407.08818 (2024) - [i97]Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, Pradeep Dasigi, Valentina Pyatkin, Abhilasha Ravichander, Sarah Wiegreffe, Nouha Dziri, Khyathi Raghavi Chandu, Jack Hessel, Yulia Tsvetkov, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi:
The Art of Saying No: Contextual Noncompliance in Language Models. CoRR abs/2407.12043 (2024) - [i96]Bingbing Wen, Jihan Yao, Shangbin Feng, Chenjun Xu, Yulia Tsvetkov, Bill Howe, Lucy Lu Wang:
The Art of Refusal: A Survey of Abstention in Large Language Models. CoRR abs/2407.18418 (2024) - [i95]Xiaochuang Han, Marjan Ghazvininejad, Pang Wei Koh, Yulia Tsvetkov:
JPEG-LM: LLMs as Image Generators with Canonical Codec Representations. CoRR abs/2408.08459 (2024) - [i94]Yu Ying Chiu, Liwei Jiang, Bill Yuchen Lin, Chan Young Park, Shuyue Stella Li, Sahithya Ravi, Mehar Bhatia, Maria Antoniak, Yulia Tsvetkov, Vered Shwartz, Yejin Choi:
CulturalBench: a Robust, Diverse and Challenging Benchmark on Measuring the (Lack of) Cultural Knowledge of LLMs. CoRR abs/2410.02677 (2024) - 2023
- [c97]Shangbin Feng, Zhaoxuan Tan, Wenqian Zhang, Zhenyu Lei, Yulia Tsvetkov:
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding. ACL (1) 2023: 2116-2138 - [c96]Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov:
SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control. ACL (1) 2023: 11575-11596 - [c95]Shangbin Feng, Chan Young Park, Yuhan Liu, Yulia Tsvetkov:
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models. ACL (1) 2023: 11737-11762 - [c94]Tianxing He, Jingyu Zhang, Tianle Wang, Sachin Kumar, Kyunghyun Cho, James R. Glass, Yulia Tsvetkov:
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation. ACL (1) 2023: 12067-12097 - [c93]Xiaochuang Han, Daniel Simig, Todor Mihaylov, Yulia Tsvetkov, Asli Celikyilmaz, Tianlu Wang:
Understanding In-Context Learning via Supportive Pretraining Data. ACL (1) 2023: 12660-12673 - [c92]Melanie Sclar, Sachin Kumar, Peter West, Alane Suhr, Yejin Choi, Yulia Tsvetkov:
Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker. ACL (1) 2023: 13960-13980 - [c91]Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov:
Unsupervised Keyphrase Extraction via Interpretable Neural Networks. EACL (Findings) 2023: 1077-1089 - [c90]Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, Antonios Anastasopoulos, Yulia Tsvetkov:
Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey. EACL 2023: 3291-3313 - [c89]Shangbin Feng, Vidhisha Balachandran, Yuyang Bai, Yulia Tsvetkov:
FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge. EMNLP 2023: 933-952 - [c88]Xiao Pu, Jingyu Zhang, Xiaochuang Han, Yulia Tsvetkov, Tianxing He:
On the Zero-Shot Generalization of Machine-Generated Text Detectors. EMNLP (Findings) 2023: 4799-4808 - [c87]Lucille Njoo, Chan Young Park, Octavia Stappart, Marvin Thielk, Yi Chu, Yulia Tsvetkov:
TalkUp: Paving the Way for Understanding Empowering Language. EMNLP (Findings) 2023: 9334-9354 - [c86]Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David R. Mortensen, Noah A. Smith, Yulia Tsvetkov:
Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models. EMNLP 2023: 9904-9923 - [c85]Weijia Shi, Xiaochuang Han, Hila Gonen, Ari Holtzman, Yulia Tsvetkov, Luke Zettlemoyer:
Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too? EMNLP (Findings) 2023: 10994-11005 - [c84]Yueqi Song, Simran Khanuja, Pengfei Liu, Fahim Faisal, Alissa Ostapenko, Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, Yulia Tsvetkov, Antonios Anastasopoulos, Graham Neubig:
GlobalBench: A Benchmark for Global Progress in Natural Language Processing. EMNLP 2023: 14157-14171 - [c83]Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov:
BotPercent: Estimating Bot Populations in Twitter Communities. EMNLP (Findings) 2023: 14295-14312 - [c82]Anjalie Field, Amanda Coston, Nupoor Gandhi, Alexandra Chouldechova, Emily Putnam-Hornstein, David Steier, Yulia Tsvetkov:
Examining risks of racial biases in NLP tools for child protective services. FAccT 2023: 1479-1492 - [c81]Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov:
Can Language Models Solve Graph Problems in Natural Language? NeurIPS 2023 - [c80]Orevaoghene Ahia, Hila Gonen, Vidhisha Balachandran, Yulia Tsvetkov, Noah A. Smith:
LEXPLAIN: Improving Model Explanations via Lexicon Supervision. *SEM@ACL 2023: 207-216 - [i93]Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov:
BotPercent: Estimating Twitter Bot Populations from Groups to Crowds. CoRR abs/2302.00381 (2023) - [i92]Leon Derczynski, Hannah Rose Kirk, Vidhisha Balachandran, Sachin Kumar, Yulia Tsvetkov, Mark R. Leiser, Saif Mohammad:
Assessing Language Model Deployment with Risk Cards. CoRR abs/2303.18190 (2023) - [i91]Shangbin Feng, Vidhisha Balachandran, Yuyang Bai, Yulia Tsvetkov:
FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge. CoRR abs/2305.08281 (2023) - [i90]Shangbin Feng, Chan Young Park, Yuhan Liu, Yulia Tsvetkov:
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models. CoRR abs/2305.08283 (2023) - [i89]Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov:
CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge. CoRR abs/2305.09955 (2023) - [i88]Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov:
Can Language Models Solve Graph Problems in Natural Language? CoRR abs/2305.10037 (2023) - [i87]Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David R. Mortensen, Noah A. Smith, Yulia Tsvetkov:
Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models. CoRR abs/2305.13707 (2023) - [i86]Lucille Njoo, Chan Young Park, Octavia Stappart, Marvin Thielk, Yi Chu, Yulia Tsvetkov:
TalkUp: A Novel Dataset Paving the Way for Understanding Empowering Language. CoRR abs/2305.14326 (2023) - [i85]Yueqi Song, Catherine Cui, Simran Khanuja, Pengfei Liu, Fahim Faisal, Alissa Ostapenko, Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, Yulia Tsvetkov, Antonios Anastasopoulos, Graham Neubig:
GlobalBench: A Benchmark for Global Progress in Natural Language Processing. CoRR abs/2305.14716 (2023) - [i84]Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, Scott Wen-tau Yih:
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding. CoRR abs/2305.14739 (2023) - [i83]Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov, Marjan Ghazvininejad:
SSD-2: Scaling and Inference-time Fusion of Diffusion Language Models. CoRR abs/2305.14771 (2023) - [i82]Akari Asai, Sneha Kudugunta, Xinyan Velocity Yu, Terra Blevins, Hila Gonen, Machel Reid, Yulia Tsvetkov, Sebastian Ruder, Hannaneh Hajishirzi:
BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer. CoRR abs/2305.14857 (2023) - [i81]Anjalie Field, Amanda Coston, Nupoor Gandhi, Alexandra Chouldechova, Emily Putnam-Hornstein, David Steier, Yulia Tsvetkov:
Examining risks of racial biases in NLP tools for child protective services. CoRR abs/2305.19409 (2023) - [i80]Melanie Sclar, Sachin Kumar, Peter West, Alane Suhr, Yejin Choi, Yulia Tsvetkov:
Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker. CoRR abs/2306.00924 (2023) - [i79]Xiaochuang Han, Daniel Simig, Todor Mihaylov, Yulia Tsvetkov, Asli Celikyilmaz, Tianlu Wang:
Understanding In-Context Learning via Supportive Pretraining Data. CoRR abs/2306.15091 (2023) - [i78]Mengke Zhang, Tianxing He, Tianle Wang, Lu Mi, Fatemehsadat Mireshghallah, Binyi Chen, Hao Wang, Yulia Tsvetkov:
LatticeGen: A Cooperative Framework which Hides Generated Text in a Lattice for Privacy-Aware Generation on Cloud. CoRR abs/2309.17157 (2023) - [i77]Yike Wang, Shangbin Feng, Heng Wang, Weijia Shi, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov:
Resolving Knowledge Conflicts in Large Language Models. CoRR abs/2310.00935 (2023) - [i76]Wenxuan Ding, Shangbin Feng, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov:
Knowledge Crosswords: Geometric Reasoning over Structured Knowledge with Large Language Models. CoRR abs/2310.01290 (2023) - [i75]Abe Bohan Hou, Jingyu Zhang, Tianxing He, Yichen Wang, Yung-Sung Chuang, Hongwei Wang, Lingfeng Shen, Benjamin Van Durme, Daniel Khashabi, Yulia Tsvetkov:
SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation. CoRR abs/2310.03991 (2023) - [i74]Xiao Pu, Jingyu Zhang, Xiaochuang Han, Yulia Tsvetkov, Tianxing He:
On the Zero-Shot Generalization of Machine-Generated Text Detectors. CoRR abs/2310.05165 (2023) - [i73]Devvrit, Sneha Kudugunta, Aditya Kusupati, Tim Dettmers, Kaifeng Chen, Inderjit S. Dhillon, Yulia Tsvetkov, Hannaneh Hajishirzi, Sham M. Kakade, Ali Farhadi, Prateek Jain:
MatFormer: Nested Transformer for Elastic Inference. CoRR abs/2310.07707 (2023) - [i72]Yuyang Bai, Shangbin Feng, Vidhisha Balachandran, Zhaoxuan Tan, Shiqi Lou, Tianxing He, Yulia Tsvetkov:
KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models. CoRR abs/2310.09725 (2023) - [i71]Melanie Sclar, Yejin Choi, Yulia Tsvetkov, Alane Suhr:
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting. CoRR abs/2310.11324 (2023) - [i70]Niloofar Mireshghallah, Hyunwoo Kim, Xuhui Zhou, Yulia Tsvetkov, Maarten Sap, Reza Shokri, Yejin Choi:
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory. CoRR abs/2310.17884 (2023) - [i69]Sachin Kumar, Chan Young Park, Yulia Tsvetkov:
Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions. CoRR abs/2311.07115 (2023) - [i68]Yuhan Liu, Shangbin Feng, Xiaochuang Han, Vidhisha Balachandran, Chan Young Park, Sachin Kumar, Yulia Tsvetkov:
What Constitutes a Faithful Summary? Preserving Author Perspectives in News Summarization. CoRR abs/2311.09741 (2023) - 2022
- [c79]Alissa Ostapenko, Shuly Wintner, Melinda Fricke, Yulia Tsvetkov:
Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching. ACL (1) 2022: 3853-3867 - [c78]Artidoro Pagnoni, Martin Graciarena, Yulia Tsvetkov:
Threat Scenarios and Best Practices to Detect Neural Fake News. COLING 2022: 1233-1249 - [c77]Inna W. Lin, Lucille Njoo, Anjalie Field, Ashish Sharma, Katharina Reinecke, Tim Althoff, Yulia Tsvetkov:
Gendered Mental Health Stigma in Masked Language Models. EMNLP 2022: 2152-2170 - [c76]Sachin Kumar, Biswajit Paria, Yulia Tsvetkov:
Gradient-based Constrained Sampling from Language Models. EMNLP 2022: 2251-2277 - [c75]Chan Young Park, Julia Mendelsohn, Anjalie Field, Yulia Tsvetkov:
Challenges and Opportunities in Information Manipulation Detection: An Examination of Wartime Russian Media. EMNLP (Findings) 2022: 5209-5235 - [c74]Melanie Sclar, Peter West, Sachin Kumar, Yulia Tsvetkov, Yejin Choi:
Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation. EMNLP 2022: 9649-9668 - [c73]Vidhisha Balachandran, Hannaneh Hajishirzi, William W. Cohen, Yulia Tsvetkov:
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling. EMNLP 2022: 9818-9830 - [c72]Zirui Wang, Jiahui Yu, Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, Yuan Cao:
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision. ICLR 2022 - [c71]Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He:
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) 2022: 391-399 - [c70]Anjalie Field, Chan Young Park, Kevin Z. Lin, Yulia Tsvetkov:
Controlled Analyses of Social Biases in Wikipedia Bios. WWW 2022: 2624-2635 - [i67]Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov:
Unsupervised Keyphrase Extraction via Interpretable Neural Networks. CoRR abs/2203.07640 (2022) - [i66]Alissa Ostapenko, Shuly Wintner, Melinda Fricke, Yulia Tsvetkov:
Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching. CoRR abs/2203.08979 (2022) - [i65]Chan Young Park, Julia Mendelsohn, Anjalie Field, Yulia Tsvetkov:
VoynaSlov: A Data Set of Russian Social Media Activity during the 2022 Ukraine-Russia War. CoRR abs/2205.12382 (2022) - [i64]Sachin Kumar, Biswajit Paria, Yulia Tsvetkov:
Constrained Sampling from Language Models via Langevin Dynamics in Embedding Spaces. CoRR abs/2205.12558 (2022) - [i63]Xiaochuang Han, Yulia Tsvetkov:
ORCA: Interpreting Prompted Language Models via Locating Supporting Data Evidence in the Ocean of Pretraining Data. CoRR abs/2205.12600 (2022) - [i62]Shangbin Feng, Zhaoxuan Tan, Wenqian Zhang, Zhenyu Lei, Yulia Tsvetkov:
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding. CoRR abs/2210.04105 (2022) - [i61]Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, Antonios Anastasopoulos, Yulia Tsvetkov:
Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey. CoRR abs/2210.07700 (2022) - [i60]Vidhisha Balachandran, Hannaneh Hajishirzi, William W. Cohen, Yulia Tsvetkov:
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling. CoRR abs/2210.12378 (2022) - [i59]Melanie Sclar, Peter West, Sachin Kumar, Yulia Tsvetkov, Yejin Choi:
Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation. CoRR abs/2210.13800 (2022) - [i58]Inna Wanyin Lin, Lucille Njoo, Anjalie Field, Ashish Sharma, Katharina Reinecke, Tim Althoff, Yulia Tsvetkov:
Gendered Mental Health Stigma in Masked Language Models. CoRR abs/2210.15144 (2022) - [i57]Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov:
SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control. CoRR abs/2210.17432 (2022) - [i56]Tianxing He, Jingyu Zhang, Tianle Wang, Sachin Kumar, Kyunghyun Cho, James R. Glass, Yulia Tsvetkov:
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation. CoRR abs/2212.10020 (2022) - [i55]Weijia Shi, Xiaochuang Han, Hila Gonen, Ari Holtzman, Yulia Tsvetkov, Luke Zettlemoyer:
Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too? CoRR abs/2212.10539 (2022) - 2021
- [c69]Sachin Kumar, Antonios Anastasopoulos, Shuly Wintner, Yulia Tsvetkov:
Machine Translation into Low-resource Language Varieties. ACL/IJCNLP (2) 2021: 110-121 - [c68]Anjalie Field, Su Lin Blodgett, Zeerak Waseem, Yulia Tsvetkov:
A Survey of Race, Racism, and Anti-Racism in NLP. ACL/IJCNLP (1) 2021: 1905-1925 - [c67]Prakhar Gupta, Yulia Tsvetkov, Jeffrey P. Bigham:
Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation. ACL/IJCNLP (Findings) 2021: 3867-3883 - [c66]Jimin Sun, Hwijeen Ahn, Chan Young Park, Yulia Tsvetkov, David R. Mortensen:
Cross-Cultural Similarity Features for Cross-Lingual Transfer Learning of Pragmatically Motivated Tasks. EACL 2021: 2403-2414 - [c65]Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov:
StructSum: Summarization via Structured Representations. EACL 2021: 2575-2585 - [c64]Xinyi Wang, Yulia Tsvetkov, Sebastian Ruder, Graham Neubig:
Efficient Test Time Adapter Ensembling for Low-resource Language Varieties. EMNLP (Findings) 2021: 730-737 - [c63]Dheeraj Rajagopal, Vidhisha Balachandran, Eduard H. Hovy, Yulia Tsvetkov:
SELFEXPLAIN: A Self-Explaining Architecture for Neural Text Classifiers. EMNLP (1) 2021: 836-850 - [c62]Chan Young Park, Julia Mendelsohn, Karthik Radhakrishnan, Kinjal Jain, Tushar Kanakagiri, David Jurgens, Yulia Tsvetkov:
Detecting Community Sensitive Norm Violations in Online Conversations. EMNLP (Findings) 2021: 3386-3397 - [c61]Xiaochuang Han, Yulia Tsvetkov:
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates. EMNLP (Findings) 2021: 4398-4409 - [c60]Adithya Pratapa, Antonios Anastasopoulos, Shruti Rijhwani, Aditi Chaudhary, David R. Mortensen, Graham Neubig, Yulia Tsvetkov:
Evaluating the Morphosyntactic Well-formedness of Generated Texts. EMNLP (1) 2021: 7131-7150 - [c59]Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan W. Black, Yulia Tsvetkov:
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues. ICLR 2021 - [c58]Zirui Wang, Yulia Tsvetkov, Orhan Firat, Yuan Cao:
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models. ICLR 2021 - [c57]Chan Young Park, Xinru Yan, Anjalie Field, Yulia Tsvetkov:
Multilingual Contextual Affective Analysis of LGBT People Portrayals in Wikipedia. ICWSM 2021: 479-490 - [c56]Prakhar Gupta, Jeffrey P. Bigham, Yulia Tsvetkov, Amy Pavel:
Controlling Dialogue Generation with Semantic Exemplars. NAACL-HLT 2021: 3018-3029 - [c55]Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov:
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics. NAACL-HLT 2021: 4812-4829 - [c54]Sachin Kumar, Eric Malmi, Aliaksei Severyn, Yulia Tsvetkov:
Controlled Text Generation as Continuous Optimization with Multiple Constraints. NeurIPS 2021: 14542-14554 - [i54]Anjalie Field, Chan Young Park, Yulia Tsvetkov:
Controlled Analyses of Social Biases in Wikipedia Bios. CoRR abs/2101.00078 (2021) - [i53]Dheeraj Rajagopal, Vidhisha Balachandran, Eduard H. Hovy, Yulia Tsvetkov:
SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers. CoRR abs/2103.12279 (2021) - [i52]Adithya Pratapa, Antonios Anastasopoulos, Shruti Rijhwani, Aditi Chaudhary, David R. Mortensen, Graham Neubig, Yulia Tsvetkov:
Evaluating the Morphosyntactic Well-formedness of Generated Texts. CoRR abs/2103.16590 (2021) - [i51]Lidia Kidane, Sachin Kumar, Yulia Tsvetkov:
An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation. AfricaNLP 2021 - [i50]Vidhisha Balachandran, Ashish Vaswani, Yulia Tsvetkov, Niki Parmar:
Simple and Efficient ways to Improve REALM. CoRR abs/2104.08710 (2021) - [i49]Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov:
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics. CoRR abs/2104.13346 (2021) - [i48]Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan W. Black, Yulia Tsvetkov:
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues. CoRR abs/2106.00920 (2021) - [i47]Prakhar Gupta, Yulia Tsvetkov, Jeffrey P. Bigham:
Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation. CoRR abs/2106.05894 (2021) - [i46]Sachin Kumar, Antonios Anastasopoulos, Shuly Wintner, Yulia Tsvetkov:
Machine Translation into Low-resource Language Varieties. CoRR abs/2106.06797 (2021) - [i45]Anjalie Field, Su Lin Blodgett, Zeerak Waseem, Yulia Tsvetkov:
A Survey of Race, Racism, and Anti-Racism in NLP. CoRR abs/2106.11410 (2021) - [i44]Sachin Kumar, Eric Malmi, Aliaksei Severyn, Yulia Tsvetkov:
Controlled Text Generation as Continuous Optimization with Multiple Constraints. CoRR abs/2108.01850 (2021) - [i43]Zirui Wang, Jiahui Yu, Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, Yuan Cao:
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision. CoRR abs/2108.10904 (2021) - [i42]Xinyi Wang, Yulia Tsvetkov, Sebastian Ruder, Graham Neubig:
Efficient Test Time Adapter Ensembling for Low-resource Language Varieties. CoRR abs/2109.04877 (2021) - [i41]Nupoor Gandhi, Anjalie Field, Yulia Tsvetkov:
Improving Span Representation for Domain-adapted Coreference Resolution. CoRR abs/2109.09811 (2021) - [i40]Xiaochuang Han, Yulia Tsvetkov:
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates. CoRR abs/2110.03212 (2021) - [i39]Chan Young Park, Julia Mendelsohn, Karthik Radhakrishnan, Kinjal Jain, Tushar Kanakagiri, David Jurgens, Yulia Tsvetkov:
Detecting Community Sensitive Norm Violations in Online Conversations. CoRR abs/2110.04419 (2021) - [i38]Monisha Jegadeesan, Sachin Kumar, John Wieting, Yulia Tsvetkov:
Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs. CoRR abs/2110.13231 (2021) - 2020
- [j5]Julia Mendelsohn, Yulia Tsvetkov, Dan Jurafsky:
A Framework for the Computational Linguistic Analysis of Dehumanization. Frontiers Artif. Intell. 3: 55 (2020) - [c53]Xiaochuang Han, Byron C. Wallace, Yulia Tsvetkov:
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions. ACL 2020: 5553-5563 - [c52]Xinyi Wang, Yulia Tsvetkov, Graham Neubig:
Balancing Training for Multilingual Neural Machine Translation. ACL 2020: 8526-8537 - [c51]Mengzhou Xia, Anjalie Field, Yulia Tsvetkov:
Demoting Racial Bias in Hate Speech Detection. SocialNLP@ACL 2020: 7-14 - [c50]Zi-Yi Dou, Sachin Kumar, Yulia Tsvetkov:
A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards. NGT@ACL 2020: 60-68 - [c49]Tanmay Parekh, Emily Ahn, Yulia Tsvetkov, Alan W. Black:
Understanding Linguistic Accommodation in Code-Switched Human-Machine Dialogues. CoNLL 2020: 565-577 - [c48]Anjalie Field, Yulia Tsvetkov:
Unsupervised Discovery of Implicit Gender Bias. EMNLP (1) 2020: 596-608 - [c47]Zirui Wang, Zachary C. Lipton, Yulia Tsvetkov:
On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment. EMNLP (1) 2020: 4438-4450 - [c46]Aditi Chaudhary, Antonios Anastasopoulos, Adithya Pratapa, David R. Mortensen, Zaid Sheikh, Yulia Tsvetkov, Graham Neubig:
Automatic Extraction of Rules Governing Morphological Agreement. EMNLP (1) 2020: 5212-5236 - [c45]Xiaochuang Han, Yulia Tsvetkov:
Fortifying Toxic Speech Detectors Against Veiled Toxicity. EMNLP (1) 2020: 7732-7739 - [c44]Sachin Kumar, Yulia Tsvetkov:
End-to-End Differentiable GANs for Text Generation. ICBINB@NeurIPS 2020: 118-128 - [c43]Yiheng Zhou, Yulia Tsvetkov, Alan W. Black, Zhou Yu:
Augmenting Non-Collaborative Dialog Systems with Explicit Semantic and Strategic Dialog History. ICLR 2020 - [c42]Naveen Raman, Minxuan Cao, Yulia Tsvetkov, Christian Kästner, Bogdan Vasilescu:
Stress and burnout in open source: toward finding, understanding, and mitigating unhealthy interactions. ICSE (NIER) 2020: 57-60 - [c41]Sopan Khosla, Rishabh Joshi, Ritam Dutt, Alan W. Black, Yulia Tsvetkov:
LTIatCMU at SemEval-2020 Task 11: Incorporating Multi-Level Features for Multi-Granular Propaganda Span Identification. SemEval@COLING 2020: 1756-1763 - [c40]Aman Tyagi, Anjalie Field, Priyank Lathwal, Yulia Tsvetkov, Kathleen M. Carley:
A Computational Analysis of Polarization on Indian and Pakistani Social Media. SocInfo 2020: 364-379 - [i37]Maria Ryskina, Ella Rabinovich, Taylor Berg-Kirkpatrick, David R. Mortensen, Yulia Tsvetkov:
Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods. CoRR abs/2001.07740 (2020) - [i36]Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov:
StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization. CoRR abs/2003.00576 (2020) - [i35]Julia Mendelsohn, Yulia Tsvetkov, Dan Jurafsky:
A Framework for the Computational Linguistic Analysis of Dehumanization. CoRR abs/2003.03014 (2020) - [i34]Xinyi Wang, Yulia Tsvetkov, Graham Neubig:
Balancing Training for Multilingual Neural Machine Translation. CoRR abs/2004.06748 (2020) - [i33]Anjalie Field, Yulia Tsvetkov:
Unsupervised Discovery of Implicit Gender Bias. CoRR abs/2004.08361 (2020) - [i32]Xiaochuang Han, Byron C. Wallace, Yulia Tsvetkov:
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions. CoRR abs/2005.06676 (2020) - [i31]Aman Tyagi, Anjalie Field, Priyank Lathwal, Yulia Tsvetkov, Kathleen M. Carley:
A Computational Analysis of Polarization on Indian and Pakistani Social Media. CoRR abs/2005.09803 (2020) - [i30]Mengzhou Xia, Anjalie Field, Yulia Tsvetkov:
Demoting Racial Bias in Hate Speech Detection. CoRR abs/2005.12246 (2020) - [i29]Jimin Sun, Hwijeen Ahn, Chan Young Park, Yulia Tsvetkov, David R. Mortensen:
Ranking Transfer Languages with Pragmatically-Motivated Features for Multilingual Sentiment Analysis. CoRR abs/2006.09336 (2020) - [i28]Zi-Yi Dou, Sachin Kumar, Yulia Tsvetkov:
A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards. CoRR abs/2006.15454 (2020) - [i27]Sopan Khosla, Rishabh Joshi, Ritam Dutt, Alan W. Black, Yulia Tsvetkov:
LTIatCMU at SemEval-2020 Task 11: Incorporating Multi-Level Features for Multi-Granular Propaganda Span Identification. CoRR abs/2008.04820 (2020) - [i26]Prakhar Gupta, Jeffrey P. Bigham, Yulia Tsvetkov, Amy Pavel:
Controlling Dialogue Generation with Semantic Exemplars. CoRR abs/2008.09075 (2020) - [i25]Aditi Chaudhary, Antonios Anastasopoulos, Adithya Pratapa, David R. Mortensen, Zaid Sheikh, Yulia Tsvetkov, Graham Neubig:
Automatic Extraction of Rules Governing Morphological Agreement. CoRR abs/2010.01160 (2020) - [i24]Zirui Wang, Zachary C. Lipton, Yulia Tsvetkov:
On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment. CoRR abs/2010.03017 (2020) - [i23]Xiaochuang Han, Yulia Tsvetkov:
Fortifying Toxic Speech Detectors Against Veiled Toxicity. CoRR abs/2010.03154 (2020) - [i22]Zirui Wang, Yulia Tsvetkov, Orhan Firat, Yuan Cao:
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models. CoRR abs/2010.05874 (2020) - [i21]Chan Young Park, Xinru Yan, Anjalie Field, Yulia Tsvetkov:
Multilingual Contextual Affective Analysis of LGBT People Portrayals in Wikipedia. CoRR abs/2010.10820 (2020)
2010 – 2019
- 2019
- [c39]Anjalie Field, Yulia Tsvetkov:
Entity-Centric Contextual Affective Analysis. ACL (1) 2019: 2550-2560 - [c38]Gayatri Bhat, Sachin Kumar, Yulia Tsvetkov:
A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation. NGT@EMNLP-IJCNLP 2019: 199-205 - [c37]Chan Young Park, Yulia Tsvetkov:
Learning to Generate Word- and Phrase-Embeddings for Efficient Phrase-Based Neural Machine Translation. NGT@EMNLP-IJCNLP 2019: 241-248 - [c36]Luke Breitfeller, Emily Ahn, David Jurgens, Yulia Tsvetkov:
Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts. EMNLP/IJCNLP (1) 2019: 1664-1674 - [c35]Sachin Kumar, Shuly Wintner, Noah A. Smith, Yulia Tsvetkov:
Topics to Avoid: Demoting Latent Confounds in Text Classification. EMNLP/IJCNLP (1) 2019: 4151-4161 - [c34]Sachin Kumar, Yulia Tsvetkov:
Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs. ICLR (Poster) 2019 - [c33]Anjalie Field, Gayatri Bhat, Yulia Tsvetkov:
Contextual Affective Analysis: A Case Study of People Portrayals in Online #MeToo Stories. ICWSM 2019: 158-169 - [c32]Thomas Manzini, Yao Chong Lim, Alan W. Black, Yulia Tsvetkov:
Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings. NAACL-HLT (1) 2019: 615-621 - [c31]Yiheng Zhou, He He, Alan W. Black, Yulia Tsvetkov:
A Dynamic Strategy Coach for Effective Negotiation. SIGdial 2019: 367-378 - [c30]Yulia Tsvetkov, Vinodkumar Prabhakaran, Rob Voigt:
Socially Responsible Natural Language Processing. WWW (Companion Volume) 2019: 1326 - [i20]Thomas Manzini, Yao Chong Lim, Yulia Tsvetkov, Alan W. Black:
Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings. CoRR abs/1904.04047 (2019) - [i19]Anjalie Field, Gayatri Bhat, Yulia Tsvetkov:
Contextual Affective Analysis: A Case Study of People Portrayals in Online #MeToo Stories. CoRR abs/1904.04164 (2019) - [i18]Anjalie Field, Yulia Tsvetkov:
Entity-Centric Contextual Affective Analysis. CoRR abs/1906.01762 (2019) - [i17]Keita Kurita, Nidhi Vyas, Ayush Pareek, Alan W. Black, Yulia Tsvetkov:
Measuring Bias in Contextualized Word Representations. CoRR abs/1906.07337 (2019) - [i16]Aditi Chaudhary, Elizabeth Salesky, Gayatri Bhat, David R. Mortensen, Jaime G. Carbonell, Yulia Tsvetkov:
CMU-01 at the SIGMORPHON 2019 Shared Task on Crosslinguality and Context in Morphology. CoRR abs/1907.10129 (2019) - [i15]Sachin Kumar, Shuly Wintner, Noah A. Smith, Yulia Tsvetkov:
Topics to Avoid: Demoting Latent Confounds in Text Classification. CoRR abs/1909.00453 (2019) - [i14]Yiheng Zhou, Yulia Tsvetkov, Alan W. Black, Zhou Yu:
Augmenting Non-Collaborative Dialog Systems with Explicit Semantic and Strategic Dialog History. CoRR abs/1909.13425 (2019) - [i13]Yiheng Zhou, He He, Alan W. Black, Yulia Tsvetkov:
A Dynamic Strategy Coach for Effective Negotiation. CoRR abs/1909.13426 (2019) - 2018
- [j4]Ella Rabinovich, Yulia Tsvetkov, Shuly Wintner:
Native Language Cognate Effects on Second Language Lexical Choice. Trans. Assoc. Comput. Linguistics 6: 329-342 (2018) - [c29]Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov, Alan W. Black:
Style Transfer Through Back-Translation. ACL (1) 2018: 866-876 - [c28]Anjalie Field, Doron Kliger, Shuly Wintner, Jennifer Pan, Dan Jurafsky, Yulia Tsvetkov:
Framing and Agenda-Setting in Russian News: a Computational Analysis of Intricate Political Strategies. EMNLP 2018: 3570-3580 - [c27]Rob Voigt, David Jurgens, Vinodkumar Prabhakaran, Dan Jurafsky, Yulia Tsvetkov:
RtGender: A Corpus for Studying Differential Responses to Gender. LREC 2018 - [c26]Yulia Tsvetkov, Vinodkumar Prabhakaran, Rob Voigt:
Socially Responsible NLP. NAACL-HLT (Tutorial Abstracts) 2018: 24-26 - [i12]Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov, Alan W. Black:
Style Transfer Through Back-Translation. CoRR abs/1804.09000 (2018) - [i11]Ella Rabinovich, Yulia Tsvetkov, Shuly Wintner:
Native Language Cognate Effects on Second Language Lexical Choice. CoRR abs/1805.09590 (2018) - [i10]Anjalie Field, Doron Kliger, Shuly Wintner, Jennifer Pan, Dan Jurafsky, Yulia Tsvetkov:
Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies. CoRR abs/1808.09386 (2018) - [i9]Shrimai Prabhumoye, Yulia Tsvetkov, Alan W. Black, Ruslan Salakhutdinov:
Style Transfer Through Multilingual and Feedback-Based Back-Translation. CoRR abs/1809.06284 (2018) - [i8]Sachin Kumar, Yulia Tsvetkov:
Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs. CoRR abs/1812.04616 (2018) - 2017
- [c25]David Jurgens, Yulia Tsvetkov, Dan Jurafsky:
Incorporating Dialectal Variability for Socially Equitable Language Identification. ACL (2) 2017: 51-57 - [c24]David Jurgens, Yulia Tsvetkov, Dan Jurafsky:
Writer Profiling Without the Writer's Text. SocInfo (2) 2017: 537-558 - 2016
- [j3]Yulia Tsvetkov, Chris Dyer:
Cross-Lingual Bridges with Models of Lexical Borrowing. J. Artif. Intell. Res. 55: 63-93 (2016) - [c23]Yulia Tsvetkov, Manaal Faruqui, Wang Ling, Brian MacWhinney, Chris Dyer:
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning. ACL (1) 2016 - [c22]Manaal Faruqui, Yulia Tsvetkov, Graham Neubig, Chris Dyer:
Morphological Inflection Generation Using Character Sequence to Sequence Learning. HLT-NAACL 2016: 634-643 - [c21]Yulia Tsvetkov, Sunayana Sitaram, Manaal Faruqui, Guillaume Lample, Patrick Littell, David R. Mortensen, Alan W. Black, Lori S. Levin, Chris Dyer:
Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning. HLT-NAACL 2016: 1357-1366 - [c20]Manaal Faruqui, Yulia Tsvetkov, Pushpendre Rastogi, Chris Dyer:
Problems With Evaluation of Word Embeddings Using Word Similarity Tasks. RepEval@ACL 2016: 30-35 - [c19]Yulia Tsvetkov, Manaal Faruqui, Chris Dyer:
Correlation-based Intrinsic Evaluation of Word Vector Representations. RepEval@ACL 2016: 111-115 - [i7]Waleed Ammar, George Mulcaire, Yulia Tsvetkov, Guillaume Lample, Chris Dyer, Noah A. Smith:
Massively Multilingual Word Embeddings. CoRR abs/1602.01925 (2016) - [i6]Manaal Faruqui, Yulia Tsvetkov, Pushpendre Rastogi, Chris Dyer:
Problems With Evaluation of Word Embeddings Using Word Similarity Tasks. CoRR abs/1605.02276 (2016) - [i5]Yulia Tsvetkov, Sunayana Sitaram, Manaal Faruqui, Guillaume Lample, Patrick Littell, David R. Mortensen, Alan W. Black, Lori S. Levin, Chris Dyer:
Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning. CoRR abs/1605.03832 (2016) - [i4]Yulia Tsvetkov, Manaal Faruqui, Wang Ling, Chris Dyer:
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning. CoRR abs/1605.03852 (2016) - [i3]Yulia Tsvetkov, Manaal Faruqui, Chris Dyer:
Correlation-based Intrinsic Evaluation of Word Vector Representations. CoRR abs/1606.06710 (2016) - 2015
- [c18]Yulia Tsvetkov, Chris Dyer:
Lexicon Stratification for Translating Out-of-Vocabulary Words. ACL (2) 2015: 125-131 - [c17]Manaal Faruqui, Yulia Tsvetkov, Dani Yogatama, Chris Dyer, Noah A. Smith:
Sparse Overcomplete Word Vector Representations. ACL (1) 2015: 1491-1500 - [c16]Wang Ling, Yulia Tsvetkov, Silvio Amir, Ramon Fermandez, Chris Dyer, Alan W. Black, Isabel Trancoso, Chu-Cheng Lin:
Not All Contexts Are Created Equal: Better Word Representations with Variable Attention. EMNLP 2015: 1367-1372 - [c15]Yulia Tsvetkov, Manaal Faruqui, Wang Ling, Guillaume Lample, Chris Dyer:
Evaluation of Word Vector Representations by Subspace Alignment. EMNLP 2015: 2049-2054 - [c14]Yulia Tsvetkov, Waleed Ammar, Chris Dyer:
Constraint-Based Models of Lexical Borrowing. HLT-NAACL 2015: 598-608 - [c13]Haim Dubossarsky, Yulia Tsvetkov, Chris Dyer, Eitan Grossman:
A bottom up approach to category mapping and meaning change. NetWordS 2015: 66-70 - [i2]Manaal Faruqui, Yulia Tsvetkov, Dani Yogatama, Chris Dyer, Noah A. Smith:
Sparse Overcomplete Word Vector Representations. CoRR abs/1506.02004 (2015) - [i1]Manaal Faruqui, Yulia Tsvetkov, Graham Neubig, Chris Dyer:
Morphological Inflection Generation Using Character Sequence to Sequence Learning. CoRR abs/1512.06110 (2015) - 2014
- [j2]Yulia Tsvetkov, Shuly Wintner:
Identification of Multiword Expressions by Combining Multiple Linguistic Information Sources. Comput. Linguistics 40(2): 449-468 (2014) - [c12]Yulia Tsvetkov, Leonid Boytsov, Anatole Gershman, Eric Nyberg, Chris Dyer:
Metaphor Detection with Cross-Lingual Model Transfer. ACL (1) 2014: 248-258 - [c11]Archna Bhatia, Chu-Cheng Lin, Nathan Schneider, Yulia Tsvetkov, Fatima Talib Al-Raisi, Laleh Roostapour, Jordan Bender, Abhimanu Kumar, Lori S. Levin, Mandy Simons, Chris Dyer:
Automatic Classification of Communicative Functions of Definiteness. COLING 2014: 1059-1070 - [c10]Yulia Tsvetkov, Florian Metze, Chris Dyer:
Augmenting Translation Models with Simulated Acoustic Confusions for Improved Spoken Language Translation. EACL 2014: 616-625 - [c9]Archna Bhatia, Mandy Simons, Lori S. Levin, Yulia Tsvetkov, Chris Dyer, Jordan Bender:
A Unified Annotation Scheme for the Semantic/Pragmatic Components of Definiteness. LREC 2014: 910-916 - [c8]Yulia Tsvetkov, Nathan Schneider, Dirk Hovy, Archna Bhatia, Manaal Faruqui, Chris Dyer:
Augmenting English Adjective Senses with Supersenses. LREC 2014: 4359-4365 - [c7]Austin Matthews, Waleed Ammar, Archna Bhatia, Weston Feely, Greg Hanneman, Eva Schlinger, Swabha Swayamdipta, Yulia Tsvetkov, Alon Lavie, Chris Dyer:
The CMU Machine Translation Systems at WMT 2014. WMT@ACL 2014: 142-149 - 2013
- [c6]Yulia Tsvetkov, Naama Twitto, Nathan Schneider, Noam Ordan, Manaal Faruqui, Victor Chahuneau, Shuly Wintner, Chris Dyer:
Identifying the L1 of non-native writers: the CMU-Haifa system. BEA@NAACL-HLT 2013: 279-287 - [c5]Yulia Tsvetkov, Zaid Sheikh, Florian Metze:
Identification and modeling of word fragments in spontaneous speech. ICASSP 2013: 7624-7628 - [c4]Yulia Tsvetkov, Chris Dyer, Lori S. Levin, Archna Bhatia:
Generating English Determiners in Phrase-Based Translation with Synthetic Translation Options. WMT@ACL 2013: 271-280 - 2012
- [j1]Yulia Tsvetkov, Shuly Wintner:
Extraction of multi-word expressions from small parallel corpora. Nat. Lang. Eng. 18(4): 549-573 (2012) - 2011
- [c3]Yulia Tsvetkov, Shuly Wintner:
Identification of Multi-word Expressions by Combining Multiple Linguistic Information Sources. EMNLP 2011: 836-845 - 2010
- [c2]Yulia Tsvetkov, Shuly Wintner:
Extraction of Multi-word Expressions from Small Parallel Corpora. COLING (Posters) 2010: 1256-1264 - [c1]Yulia Tsvetkov, Shuly Wintner:
Automatic Acquisition of Parallel Corpora from Websites with Dynamic Content. LREC 2010
Coauthor Index
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