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ORCIDJane Dwivedi-Yu
Person information
- affiliation: Meta AI Research
- affiliation (PhD 2019): University of California, Berkeley, CA, USA
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2020 – today
- 2024
[c15]Kristen M. Altenburger, Robert E. Kraut, Shirley Anugrah Hayati, Jane Dwivedi-Yu, Kaiyan Peng, Yi-Chia Wang:
Consequences of Conflicts in Online Conversations. ICWSM 2024: 57-69- [i26]Silin Gao, Jane Dwivedi-Yu, Ping Yu, Xiaoqing Ellen Tan, Ramakanth Pasunuru, Olga Golovneva, Koustuv Sinha, Asli Celikyilmaz, Antoine Bosselut, Tianlu Wang:
Efficient Tool Use with Chain-of-Abstraction Reasoning. CoRR abs/2401.17464 (2024) - [i25]Alex Havrilla, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Roberta Railneau:
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements. CoRR abs/2402.10963 (2024) - [i24]Dheeraj Mekala, Jason Weston, Jack Lanchantin, Roberta Raileanu, Maria Lomeli, Jingbo Shang, Jane Dwivedi-Yu:
TOOLVERIFIER: Generalization to New Tools via Self-Verification. CoRR abs/2402.14158 (2024) - [i23]Seraphina Goldfarb-Tarrant, Pedro Rodriguez, Jane Dwivedi-Yu, Patrick S. H. Lewis:
MultiContrievers: Analysis of Dense Retrieval Representations. CoRR abs/2402.15925 (2024) - [i22]Alex Havrilla, Yuqing Du, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Sainbayar Sukhbaatar, Roberta Raileanu:
Teaching Large Language Models to Reason with Reinforcement Learning. CoRR abs/2403.04642 (2024) - [i21]Jane Dwivedi-Yu, Raaz Dwivedi, Timo Schick:
FairPair: A Robust Evaluation of Biases in Language Models through Paired Perturbations. CoRR abs/2404.06619 (2024) - [i20]Caleb Ziems, William Held, Jane Dwivedi-Yu, Diyi Yang:
Measuring and Addressing Indexical Bias in Information Retrieval. CoRR abs/2406.04298 (2024) - 2023
- [j4]Gautier Izacard, Patrick S. H. Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave:
Atlas: Few-shot Learning with Retrieval Augmented Language Models. J. Mach. Learn. Res. 24: 251:1-251:43 (2023) - [j3]Fabio Petroni
, Samuel Broscheit, Aleksandra Piktus, Patrick S. H. Lewis, Gautier Izacard, Lucas Hosseini, Jane Dwivedi-Yu, Maria Lomeli, Timo Schick, Michele Bevilacqua, Pierre-Emmanuel Mazaré, Armand Joulin, Edouard Grave, Sebastian Riedel:
Improving Wikipedia verifiability with AI. Nat. Mac. Intell. 5(10): 1142-1148 (2023) - [j2]Jane A. Dwivedi-Yu, Zachary J. Oppler, Matthew W. Mitchell, Yun S. Song, Dustin Brisson:
A fast machine-learning-guided primer design pipeline for selective whole genome amplification. PLoS Comput. Biol. 19(4) (2023) - [c14]Yi-Chia Wang, Jane Dwivedi-Yu, Robert E. Kraut, Alon Y. Halevy:
Using Comments for Predicting the Affective Response to Social Media Posts. ACII 2023: 1-8 - [c13]Wang-Chiew Tan, Jane Dwivedi-Yu, Yuliang Li, Lambert Mathias, Marzieh Saeidi, Jing Nathan Yan, Alon Y. Halevy:
TimelineQA: A Benchmark for Question Answering over Timelines. ACL (Findings) 2023: 77-91 - [c12]Caleb Ziems, Jane Dwivedi-Yu, Yi-Chia Wang, Alon Y. Halevy, Diyi Yang:
NormBank: A Knowledge Bank of Situational Social Norms. ACL (1) 2023: 7756-7776 - [c11]David Esiobu, Xiaoqing Ellen Tan, Saghar Hosseini, Megan Ung, Yuchen Zhang, Jude Fernandes, Jane Dwivedi-Yu, Eleonora Presani, Adina Williams, Eric Michael Smith:
ROBBIE: Robust Bias Evaluation of Large Generative Language Models. EMNLP 2023: 3764-3814 - [c10]Katerina Margatina, Timo Schick, Nikolaos Aletras, Jane Dwivedi-Yu:
Active Learning Principles for In-Context Learning with Large Language Models. EMNLP (Findings) 2023: 5011-5034 - [c9]Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig:
Active Retrieval Augmented Generation. EMNLP 2023: 7969-7992 - [c8]Timo Schick, Jane A. Yu, Zhengbao Jiang, Fabio Petroni, Patrick S. H. Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel:
PEER: A Collaborative Language Model. ICLR 2023 - [c7]Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Eric Hambro, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom:
Toolformer: Language Models Can Teach Themselves to Use Tools. NeurIPS 2023 - [i19]Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom:
Toolformer: Language Models Can Teach Themselves to Use Tools. CoRR abs/2302.04761 (2023) - [i18]Grégoire Mialon, Roberto Dessì, Maria Lomeli, Christoforos Nalmpantis, Ramakanth Pasunuru, Roberta Raileanu, Baptiste Rozière, Timo Schick, Jane Dwivedi-Yu, Asli Celikyilmaz, Edouard Grave, Yann LeCun, Thomas Scialom:
Augmented Language Models: a Survey. CoRR abs/2302.07842 (2023) - [i17]Alon Y. Halevy, Jane Dwivedi-Yu:
Learnings from Data Integration for Augmented Language Models. CoRR abs/2304.04576 (2023) - [i16]Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig:
Active Retrieval Augmented Generation. CoRR abs/2305.06983 (2023) - [i15]Katerina Margatina, Timo Schick, Nikolaos Aletras, Jane Dwivedi-Yu:
Active Learning Principles for In-Context Learning with Large Language Models. CoRR abs/2305.14264 (2023) - [i14]Caleb Ziems, Jane Dwivedi-Yu, Yi-Chia Wang, Alon Y. Halevy, Diyi Yang:
NormBank: A Knowledge Bank of Situational Social Norms. CoRR abs/2305.17008 (2023) - [i13]Wang-Chiew Tan, Jane Dwivedi-Yu, Yuliang Li, Lambert Mathias, Marzieh Saeidi, Jing Nathan Yan, Alon Y. Halevy:
TimelineQA: A Benchmark for Question Answering over Timelines. CoRR abs/2306.01069 (2023) - [i12]Tianlu Wang, Ping Yu, Xiaoqing Ellen Tan, Sean O'Brien, Ramakanth Pasunuru, Jane Dwivedi-Yu, Olga Golovneva, Luke Zettlemoyer, Maryam Fazel-Zarandi, Asli Celikyilmaz:
Shepherd: A Critic for Language Model Generation. CoRR abs/2308.04592 (2023) - [i11]Anirudh Mittal, Timo Schick, Mikel Artetxe, Jane Dwivedi-Yu:
Evaluation of Faithfulness Using the Longest Supported Subsequence. CoRR abs/2308.12157 (2023) - [i10]David Esiobu, Xiaoqing Ellen Tan, Saghar Hosseini, Megan Ung, Yuchen Zhang, Jude Fernandes, Jane Dwivedi-Yu, Eleonora Presani, Adina Williams, Eric Michael Smith:
ROBBIE: Robust Bias Evaluation of Large Generative Language Models. CoRR abs/2311.18140 (2023) - 2022
- [c6]Caleb Ziems, Jane A. Yu, Yi-Chia Wang, Alon Y. Halevy, Diyi Yang:
The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems. ACL (1) 2022: 3755-3773 - [c5]Jane A. Yu, Alon Y. Halevy:
That's so cute!: The CARE Dataset for Affective Response Detection. CoNLL 2022: 50-69 - [c4]Jane Dwivedi-Yu, Yi-Chia Wang, Lijing Qin, Cristian Canton-Ferrer, Alon Y. Halevy:
Affective Signals in a Social Media Recommender System. KDD 2022: 2831-2841 - [c3]Belinda Z. Li, Jane A. Yu, Madian Khabsa, Luke Zettlemoyer, Alon Y. Halevy, Jacob Andreas:
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks. NAACL-HLT 2022: 4696-4715 - [c2]Sharon Levy, Robert E. Kraut, Jane A. Yu, Kristen M. Altenburger, Yi-Chia Wang:
Understanding Conflicts in Online Conversations. WWW 2022: 2592-2602 - [i9]Jane A. Yu, Alon Y. Halevy:
The CARE Dataset for Affective Response Detection. CoRR abs/2201.11895 (2022) - [i8]Caleb Ziems, Jane A. Yu, Yi-Chia Wang, Alon Y. Halevy, Diyi Yang:
The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems. CoRR abs/2204.03021 (2022) - [i7]Jane Dwivedi-Yu, Yi-Chia Wang, Lijing Qin, Cristian Canton-Ferrer, Alon Y. Halevy:
Affective Signals in a Social Media Recommender System. CoRR abs/2206.12374 (2022) - [i6]Fabio Petroni, Samuel Broscheit, Aleksandra Piktus, Patrick S. H. Lewis, Gautier Izacard, Lucas Hosseini, Jane Dwivedi-Yu, Maria Lomeli, Timo Schick, Pierre-Emmanuel Mazaré, Armand Joulin, Edouard Grave, Sebastian Riedel:
Improving Wikipedia Verifiability with AI. CoRR abs/2207.06220 (2022) - [i5]Gautier Izacard, Patrick S. H. Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave:
Few-shot Learning with Retrieval Augmented Language Models. CoRR abs/2208.03299 (2022) - [i4]Timo Schick, Jane Dwivedi-Yu, Zhengbao Jiang, Fabio Petroni, Patrick S. H. Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel:
PEER: A Collaborative Language Model. CoRR abs/2208.11663 (2022) - [i3]Jane Dwivedi-Yu, Timo Schick, Zhengbao Jiang, Maria Lomeli, Patrick S. H. Lewis, Gautier Izacard, Edouard Grave, Sebastian Riedel, Fabio Petroni:
EditEval: An Instruction-Based Benchmark for Text Improvements. CoRR abs/2209.13331 (2022) - 2021
- [c1]Oana Ignat, Y-Lan Boureau, Jane A. Yu, Alon Y. Halevy:
Detecting Inspiring Content on Social Media. ACII 2021: 1-8 - [i2]Oana Ignat, Y-Lan Boureau, Jane A. Yu, Alon Y. Halevy:
Detecting Inspiring Content on Social Media. CoRR abs/2109.02734 (2021) - [i1]Belinda Z. Li, Jane A. Yu, Madian Khabsa, Luke Zettlemoyer, Alon Y. Halevy, Jacob Andreas:
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks. CoRR abs/2112.03204 (2021)
2010 – 2019
- 2019
- [b1]Jane A. Yu:
Computational Tools for Immune Repertoire Characterization and Primer Set Design. University of California, Berkeley, USA, 2019 - 2016
- [j1]Shishi Luo, Jane A. Yu, Yun S. Song:
Estimating Copy Number and Allelic Variation at the Immunoglobulin Heavy Chain Locus Using Short Reads. PLoS Comput. Biol. 12(9) (2016)
Coauthor Index
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last updated on 2024-07-25 19:30 CEST by the dblp team
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