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ORCIDEsin Durmus
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2020 – today
- 2024
[j3]Tianyi Zhang, Faisal Ladhak, Esin Durmus, Percy Liang, Kathleen R. McKeown, Tatsunori B. Hashimoto:
Benchmarking Large Language Models for News Summarization. Trans. Assoc. Comput. Linguistics 12: 39-57 (2024)- [c24]Saffron Huang
, Divya Siddarth, Liane Lovitt, Thomas I. Liao, Esin Durmus, Alex Tamkin, Deep Ganguli:
Collective Constitutional AI: Aligning a Language Model with Public Input. FAccT 2024: 1395-1417 - [c23]Mrinank Sharma, Meg Tong, Tomasz Korbak, David Duvenaud, Amanda Askell, Samuel R. Bowman, Esin Durmus, Zac Hatfield-Dodds, Scott R. Johnston, Shauna Kravec, Timothy Maxwell, Sam McCandlish, Kamal Ndousse, Oliver Rausch, Nicholas Schiefer, Da Yan, Miranda Zhang, Ethan Perez:
Towards Understanding Sycophancy in Language Models. ICLR 2024 - [c22]Kristina Gligoric, Myra Cheng, Lucia Zheng, Esin Durmus, Dan Jurafsky:
NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps. NAACL-HLT 2024: 5942-5959 - [i34]Kristina Gligoric, Myra Cheng, Lucia Zheng, Esin Durmus, Dan Jurafsky:
NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps. CoRR abs/2404.01651 (2024) - [i33]Saffron Huang, Divya Siddarth, Liane Lovitt, Thomas I. Liao, Esin Durmus, Alex Tamkin, Deep Ganguli:
Collective Constitutional AI: Aligning a Language Model with Public Input. CoRR abs/2406.07814 (2024) - [i32]Christopher Summerfield, Lisa Argyle, Michiel A. Bakker, Teddy Collins, Esin Durmus, Tyna Eloundou, Iason Gabriel, Deep Ganguli, Kobi Hackenburg, Gillian K. Hadfield, Luke Hewitt, Saffron Huang, Helene Landemore, Nahema Marchal, Aviv Ovadya, Ariel Procaccia, Mathias Risse, Bruce Schneier, Elizabeth Seger, Divya Siddarth, Henrik Skaug Sætra, MH Tessler, Matthew Botvinick:
How will advanced AI systems impact democracy? CoRR abs/2409.06729 (2024) - [i31]Joe Benton, Misha Wagner, Eric Christiansen, Cem Anil, Ethan Perez, Jai Srivastav, Esin Durmus, Deep Ganguli, Shauna Kravec, Buck Shlegeris, Jared Kaplan, Holden Karnofsky, Evan Hubinger, Roger Grosse, Samuel R. Bowman, David Duvenaud:
Sabotage Evaluations for Frontier Models. CoRR abs/2410.21514 (2024) - 2023
- [j2]Mina Lee, Megha Srivastava, Amelia Hardy, John Thickstun, Esin Durmus, Ashwin Paranjape, Ines Gerard-Ursin, Xiang Lisa Li, Faisal Ladhak, Frieda Rong, Rose E. Wang, Minae Kwon, Joon Sung Park, Hancheng Cao, Tony Lee, Rishi Bommasani, Michael S. Bernstein, Percy Liang:
Evaluating Human-Language Model Interaction. Trans. Mach. Learn. Res. 2023 (2023) - [j1]Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda:
Holistic Evaluation of Language Models. Trans. Mach. Learn. Res. 2023 (2023) - [c21]Myra Cheng, Esin Durmus, Dan Jurafsky:
Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models. ACL (1) 2023: 1504-1532 - [c20]Faisal Ladhak, Esin Durmus, Tatsunori Hashimoto:
Contrastive Error Attribution for Finetuned Language Models. ACL (1) 2023: 11482-11498 - [c19]Xinran Zhao, Esin Durmus, Dit-Yan Yeung:
Towards Reference-free Text Simplification Evaluation with a BERT Siamese Network Architecture. ACL (Findings) 2023: 13250-13264 - [c18]Faisal Ladhak, Esin Durmus, Mirac Suzgun, Tianyi Zhang, Dan Jurafsky, Kathleen R. McKeown, Tatsunori Hashimoto:
When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization. EACL 2023: 3198-3211 - [c17]Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan:
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. FAccT 2023: 1493-1504 - [c16]Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, Tatsunori Hashimoto:
Whose Opinions Do Language Models Reflect? ICML 2023: 29971-30004 - [i30]Tianyi Zhang, Faisal Ladhak, Esin Durmus, Percy Liang, Kathleen R. McKeown, Tatsunori B. Hashimoto:
Benchmarking Large Language Models for News Summarization. CoRR abs/2301.13848 (2023) - [i29]Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, Tatsunori Hashimoto:
Whose Opinions Do Language Models Reflect? CoRR abs/2303.17548 (2023) - [i28]Myra Cheng, Esin Durmus, Dan Jurafsky:
Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models. CoRR abs/2305.18189 (2023) - [i27]Christopher T. Small, Ivan Vendrov, Esin Durmus, Hadjar Homaei, Elizabeth Barry, Julien Cornebise, Ted Suzman, Deep Ganguli, Colin Megill:
Opportunities and Risks of LLMs for Scalable Deliberation with Polis. CoRR abs/2306.11932 (2023) - [i26]Esin Durmus, Karina Nyugen, Thomas I. Liao, Nicholas Schiefer, Amanda Askell, Anton Bakhtin, Carol Chen, Zac Hatfield-Dodds, Danny Hernandez, Nicholas Joseph, Liane Lovitt, Sam McCandlish, Orowa Sikder, Alex Tamkin, Janel Thamkul, Jared Kaplan, Jack Clark, Deep Ganguli:
Towards Measuring the Representation of Subjective Global Opinions in Language Models. CoRR abs/2306.16388 (2023) - [i25]Ansh Radhakrishnan, Karina Nguyen, Anna Chen, Carol Chen, Carson Denison, Danny Hernandez, Esin Durmus, Evan Hubinger, Jackson Kernion, Kamile Lukosiute, Newton Cheng, Nicholas Joseph, Nicholas Schiefer, Oliver Rausch, Sam McCandlish, Sheer El Showk, Tamera Lanham, Tim Maxwell, Venkatesa Chandrasekaran, Zac Hatfield-Dodds, Jared Kaplan, Jan Brauner, Samuel R. Bowman, Ethan Perez:
Question Decomposition Improves the Faithfulness of Model-Generated Reasoning. CoRR abs/2307.11768 (2023) - [i24]Tamera Lanham, Anna Chen, Ansh Radhakrishnan, Benoit Steiner, Carson Denison, Danny Hernandez, Dustin Li, Esin Durmus, Evan Hubinger, Jackson Kernion, Kamile Lukosiute, Karina Nguyen, Newton Cheng, Nicholas Joseph, Nicholas Schiefer, Oliver Rausch, Robin Larson, Sam McCandlish, Sandipan Kundu, Saurav Kadavath, Shannon Yang, Thomas Henighan, Timothy Maxwell, Timothy Telleen-Lawton, Tristan Hume, Zac Hatfield-Dodds, Jared Kaplan, Jan Brauner, Samuel R. Bowman, Ethan Perez:
Measuring Faithfulness in Chain-of-Thought Reasoning. CoRR abs/2307.13702 (2023) - [i23]Roger B. Grosse, Juhan Bae, Cem Anil, Nelson Elhage, Alex Tamkin, Amirhossein Tajdini, Benoit Steiner, Dustin Li, Esin Durmus, Ethan Perez, Evan Hubinger, Kamile Lukosiute, Karina Nguyen, Nicholas Joseph, Sam McCandlish, Jared Kaplan, Samuel R. Bowman:
Studying Large Language Model Generalization with Influence Functions. CoRR abs/2308.03296 (2023) - [i22]Mrinank Sharma, Meg Tong, Tomasz Korbak, David Duvenaud, Amanda Askell, Samuel R. Bowman, Newton Cheng, Esin Durmus, Zac Hatfield-Dodds, Scott R. Johnston, Shauna Kravec, Timothy Maxwell, Sam McCandlish, Kamal Ndousse, Oliver Rausch, Nicholas Schiefer, Da Yan, Miranda Zhang, Ethan Perez:
Towards Understanding Sycophancy in Language Models. CoRR abs/2310.13548 (2023) - [i21]Sandipan Kundu, Yuntao Bai, Saurav Kadavath, Amanda Askell, Andrew Callahan, Anna Chen, Anna Goldie, Avital Balwit, Azalia Mirhoseini, Brayden McLean, Catherine Olsson, Cassie Evraets, Eli Tran-Johnson, Esin Durmus, Ethan Perez, Jackson Kernion, Jamie Kerr, Kamal Ndousse, Karina Nguyen, Nelson Elhage, Newton Cheng, Nicholas Schiefer, Nova DasSarma, Oliver Rausch, Robin Larson, Shannon Yang, Shauna Kravec, Timothy Telleen-Lawton, Thomas I. Liao, Tom Henighan, Tristan Hume, Zac Hatfield-Dodds, Sören Mindermann, Nicholas Joseph, Sam McCandlish, Jared Kaplan:
Specific versus General Principles for Constitutional AI. CoRR abs/2310.13798 (2023) - [i20]Alex Tamkin, Amanda Askell, Liane Lovitt, Esin Durmus, Nicholas Joseph, Shauna Kravec, Karina Nguyen, Jared Kaplan, Deep Ganguli:
Evaluating and Mitigating Discrimination in Language Model Decisions. CoRR abs/2312.03689 (2023) - 2022
- [c15]Faisal Ladhak, Esin Durmus, He He, Claire Cardie, Kathleen R. McKeown:
Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization. ACL (1) 2022: 1410-1421 - [c14]Esin Durmus, Faisal Ladhak, Tatsunori Hashimoto:
Spurious Correlations in Reference-Free Evaluation of Text Generation. ACL (1) 2022: 1443-1454 - [c13]Tianshu Wang, Faisal Ladhak, Esin Durmus, He He:
Improving Faithfulness by Augmenting Negative Summaries from Fake Documents. EMNLP 2022: 11913-11921 - [c12]Rose E. Wang, Esin Durmus, Noah D. Goodman, Tatsunori Hashimoto:
Language modeling via stochastic processes. ICLR 2022 - [i19]Rose E. Wang, Esin Durmus, Noah D. Goodman, Tatsunori Hashimoto:
Language modeling via stochastic processes. CoRR abs/2203.11370 (2022) - [i18]Esin Durmus, Faisal Ladhak, Tatsunori Hashimoto:
Spurious Correlations in Reference-Free Evaluation of Text Generation. CoRR abs/2204.09890 (2022) - [i17]Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner, Sébastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin P. AMahidewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou:
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR abs/2206.11249 (2022) - [i16]Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan:
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. CoRR abs/2211.03759 (2022) - [i15]Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda:
Holistic Evaluation of Language Models. CoRR abs/2211.09110 (2022) - [i14]Mina Lee, Megha Srivastava, Amelia Hardy, John Thickstun, Esin Durmus, Ashwin Paranjape, Ines Gerard-Ursin, Xiang Lisa Li, Faisal Ladhak, Frieda Rong, Rose E. Wang, Minae Kwon, Joon Sung Park, Hancheng Cao, Tony Lee, Rishi Bommasani, Michael S. Bernstein, Percy Liang:
Evaluating Human-Language Model Interaction. CoRR abs/2212.09746 (2022) - [i13]Faisal Ladhak, Esin Durmus, Tatsunori Hashimoto:
Tracing and Removing Data Errors in Natural Language Generation Datasets. CoRR abs/2212.10722 (2022) - 2021
- [b1]Esin Durmus:
Towards Understanding Persuasion in Computational Argumentation. Cornell University, USA, 2021 - [c11]Xinran Zhao, Esin Durmus, Hongming Zhang, Claire Cardie:
Leveraging Topic Relatedness for Argument Persuasion. ACL/IJCNLP (Findings) 2021: 4401-4407 - [e1]Esin Durmus, Vivek Gupta, Nelson Liu, Nanyun Peng, Yu Su:
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop, NAACL-HLT 2021, Online, June 6-11, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-50-3 [contents] - [i12]Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur P. Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou:
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. CoRR abs/2102.01672 (2021) - [i11]Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren E. Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.:
On the Opportunities and Risks of Foundation Models. CoRR abs/2108.07258 (2021) - [i10]Faisal Ladhak, Esin Durmus, He He, Claire Cardie, Kathleen R. McKeown:
Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization. CoRR abs/2108.13684 (2021) - [i9]Esin Durmus:
Towards Understanding Persuasion in Computational Argumentation. CoRR abs/2110.01078 (2021) - 2020
- [c10]Esin Durmus, He He, Mona T. Diab:
FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization. ACL 2020: 5055-5070 - [c9]Faisal Ladhak, Esin Durmus, Claire Cardie, Kathleen R. McKeown:
WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization. EMNLP (Findings) 2020: 4034-4048 - [c8]Jialu Li, Esin Durmus, Claire Cardie:
Exploring the Role of Argument Structure in Online Debate Persuasion. EMNLP (1) 2020: 8905-8912 - [i8]Esin Durmus, Faisal Ladhak, Claire Cardie:
The Role of Pragmatic and Discourse Context in Determining Argument Impact. CoRR abs/2004.03034 (2020) - [i7]Esin Durmus, He He, Mona T. Diab:
FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization. CoRR abs/2005.03754 (2020) - [i6]Faisal Ladhak, Esin Durmus, Claire Cardie, Kathleen R. McKeown:
WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization. CoRR abs/2010.03093 (2020) - [i5]Jialu Li, Esin Durmus, Claire Cardie:
Exploring the Role of Argument Structure in Online Debate Persuasion. CoRR abs/2010.03538 (2020)
2010 – 2019
- 2019
- [c7]Esin Durmus, Claire Cardie:
A Corpus for Modeling User and Language Effects in Argumentation on Online Debating. ACL (1) 2019: 602-607 - [c6]Esin Durmus, Faisal Ladhak, Claire Cardie:
Determining Relative Argument Specificity and Stance for Complex Argumentative Structures. ACL (1) 2019: 4630-4641 - [c5]Liane Longpre, Esin Durmus, Claire Cardie:
Persuasion of the Undecided: Language vs. the Listener. ArgMining@ACL 2019: 167-176 - [c4]Esin Durmus, Faisal Ladhak, Claire Cardie:
The Role of Pragmatic and Discourse Context in Determining Argument Impact. EMNLP/IJCNLP (1) 2019: 5667-5677 - [c3]Esin Durmus, Claire Cardie:
Modeling the Factors of User Success in Online Debate. WWW 2019: 2701-2707 - [i4]Esin Durmus, Claire Cardie:
Exploring the Role of Prior Beliefs for Argument Persuasion. CoRR abs/1906.11301 (2019) - [i3]Esin Durmus, Claire Cardie:
A Corpus for Modeling User and Language Effects in Argumentation on Online Debating. CoRR abs/1906.11310 (2019) - [i2]Esin Durmus, Faisal Ladhak, Claire Cardie:
Determining Relative Argument Specificity and Stance for Complex Argumentative Structures. CoRR abs/1906.11313 (2019) - 2018
- [c2]Esin Durmus, Claire Cardie:
Understanding the Effect of Gender and Stance in Opinion Expression in Debates on "Abortion". PEOPLES@NAACL-HTL 2018: 69-75 - [c1]Esin Durmus, Claire Cardie:
Exploring the Role of Prior Beliefs for Argument Persuasion. NAACL-HLT 2018: 1035-1045 - 2016
- [i1]Vlad Niculae, Kai Sun, Xilun Chen, Yao Cheng, Xinya Du, Esin Durmus, Arzoo Katiyar, Claire Cardie:
Cornell Belief and Sentiment System at TAC 2016. TAC 2016
Coauthor Index
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