Cornell Belief and Sentiment System at TAC 2016. - Vlad Niculae; Kai Sun 006; Xilun Chen 002; Yao Cheng; Xinya Du; Esin Durmus; Arzoo Katiyar; Claire Cardie (TAC, 2016)

Understanding the Effect of Gender and Stance in Opinion Expression in Debates on "Abortion". - Esin Durmus; Claire Cardie (PEOPLES@NAACL-HTL, 2018)

Exploring the Role of Prior Beliefs for Argument Persuasion. - Esin Durmus; Claire Cardie (NAACL-HLT, 2018)

A Corpus for Modeling User and Language Effects in Argumentation on Online Debating. - Esin Durmus; Claire Cardie (ACL (1), 2019)

Determining Relative Argument Specificity and Stance for Complex Argumentative Structures. - Esin Durmus; Faisal Ladhak; Claire Cardie (ACL (1), 2019)

Persuasion of the Undecided: Language vs. the Listener. - Liane Longpre; Esin Durmus; Claire Cardie (ArgMining@ACL, 2019)

The Role of Pragmatic and Discourse Context in Determining Argument Impact. - Esin Durmus; Faisal Ladhak; Claire Cardie (EMNLP/IJCNLP (1), 2019)

Modeling the Factors of User Success in Online Debate. - Esin Durmus; Claire Cardie (WWW, 2019)

FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization. - Esin Durmus; He He 001; Mona T. Diab (ACL, 2020)

WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization. - Faisal Ladhak; Esin Durmus; Claire Cardie; Kathleen R. McKeown (EMNLP (Findings), 2020)

Exploring the Role of Argument Structure in Online Debate Persuasion. - Jialu Li 001; Esin Durmus; Claire Cardie (EMNLP (1), 2020)

WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization. - Faisal Ladhak; Esin Durmus; Claire Cardie; Kathleen R. McKeown (CoRR, 2020)

Leveraging Topic Relatedness for Argument Persuasion. - Xinran Zhao; Esin Durmus; Hongming Zhang 009; Claire Cardie (ACL/IJCNLP (Findings), 2021)

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. - Sebastian Gehrmann; Tosin P. Adewumi; Karmanya Aggarwal; Pawan Sasanka Ammanamanchi; Aremu Anuoluwapo; Antoine Bosselut; Khyathi Raghavi Chandu; Miruna-Adriana Clinciu; Dipanjan Das 001; Kaustubh D. Dhole; Wanyu Du; Esin Durmus; et al. (CoRR, 2021)

On the Opportunities and Risks of Foundation Models. - Rishi Bommasani; Drew A. Hudson; Ehsan Adeli 001; Russ B. Altman; Simran Arora; Sydney von Arx; Michael S. Bernstein; Jeannette Bohg; Antoine Bosselut; Emma Brunskill; Erik Brynjolfsson; Shyamal Buch; et al. (CoRR, 2021)

Towards Understanding Persuasion in Computational Argumentation. - Esin Durmus (CoRR, 2021)

Towards Understanding Persuasion in Computational Argumentation. - Esin Durmus (2021)

Spurious Correlations in Reference-Free Evaluation of Text Generation. - Esin Durmus; Faisal Ladhak; Tatsunori Hashimoto (ACL (1), 2022)

Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization. - Faisal Ladhak; Esin Durmus; He He 001; Claire Cardie; Kathleen R. McKeown (ACL (1), 2022)

Improving Faithfulness by Augmenting Negative Summaries from Fake Documents. - Tianshu Wang; Faisal Ladhak; Esin Durmus; He He 001 (EMNLP, 2022)

Language modeling via stochastic processes. - Rose E. Wang; Esin Durmus; Noah D. Goodman; Tatsunori Hashimoto (ICLR, 2022)

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. - 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; et al. (CoRR, 2022)

Tracing and Removing Data Errors in Natural Language Generation Datasets. - Faisal Ladhak; Esin Durmus; Tatsunori Hashimoto (CoRR, 2022)

Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models. - Myra Cheng; Esin Durmus; Dan Jurafsky (ACL (1), 2023)

Contrastive Error Attribution for Finetuned Language Models. - Faisal Ladhak; Esin Durmus; Tatsunori Hashimoto (ACL (1), 2023)

Towards Reference-free Text Simplification Evaluation with a BERT Siamese Network Architecture. - Xinran Zhao; Esin Durmus; Dit-Yan Yeung (ACL (Findings), 2023)

When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization. - Faisal Ladhak; Esin Durmus; Mirac Suzgun; Tianyi Zhang; Dan Jurafsky; Kathleen R. McKeown; Tatsunori Hashimoto (EACL, 2023)

Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. - Federico Bianchi 001; Pratyusha Kalluri; Esin Durmus; Faisal Ladhak; Myra Cheng; Debora Nozza; Tatsunori Hashimoto; Dan Jurafsky; James Zou 001; Aylin Caliskan (FAccT, 2023)

Whose Opinions Do Language Models Reflect? - Shibani Santurkar; Esin Durmus; Faisal Ladhak; Cinoo Lee; Percy Liang; Tatsunori Hashimoto (ICML, 2023)

Opportunities and Risks of LLMs for Scalable Deliberation with Polis. - Christopher T. Small; Ivan Vendrov; Esin Durmus; Hadjar Homaei; Elizabeth Barry; Julien Cornebise; Ted Suzman; Deep Ganguli; Colin Megill (CoRR, 2023)

Towards Measuring the Representation of Subjective Global Opinions in Language Models. - 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; et al. (CoRR, 2023)

Question Decomposition Improves the Faithfulness of Model-Generated Reasoning. - Ansh Radhakrishnan; Karina Nguyen; Anna Chen; Carol Chen; Carson Denison; Danny Hernandez; Esin Durmus; Evan Hubinger; Jackson Kernion; Kamile Lukosiute; Newton Cheng; Nicholas Joseph; et al. (CoRR, 2023)

Measuring Faithfulness in Chain-of-Thought Reasoning. - Tamera Lanham; Anna Chen; Ansh Radhakrishnan; Benoit Steiner; Carson Denison; Danny Hernandez; Dustin Li; Esin Durmus; Evan Hubinger; Jackson Kernion; Kamile Lukosiute; Karina Nguyen; et al. (CoRR, 2023)

Studying Large Language Model Generalization with Influence Functions. - 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; et al. (CoRR, 2023)

Towards Understanding Sycophancy in Language Models. - 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; et al. (CoRR, 2023)

Specific versus General Principles for Constitutional AI. - Sandipan Kundu; Yuntao Bai; Saurav Kadavath; Amanda Askell; Andrew Callahan; Anna Chen; Anna Goldie; Avital Balwit; Azalia Mirhoseini; Brayden McLean; Catherine Olsson; Cassie Evraets; et al. (CoRR, 2023)

Evaluating and Mitigating Discrimination in Language Model Decisions. - Alex Tamkin; Amanda Askell; Liane Lovitt; Esin Durmus; Nicholas Joseph; Shauna Kravec; Karina Nguyen; Jared Kaplan; Deep Ganguli (CoRR, 2023)

Evaluating Human-Language Model Interaction. - Mina Lee 002; 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; et al. (Trans. Mach. Learn. Res., 2023)

Holistic Evaluation of Language Models. - Percy Liang; Rishi Bommasani; Tony Lee; Dimitris Tsipras; Dilara Soylu; Michihiro Yasunaga; Yian Zhang; Deepak Narayanan; Yuhuai Wu; Ananya Kumar; Benjamin Newman; Binhang Yuan; et al. (Trans. Mach. Learn. Res., 2023)

Collective Constitutional AI: Aligning a Language Model with Public Input. - Saffron Huang; Divya Siddarth; Liane Lovitt; Thomas I. Liao; Esin Durmus; Alex Tamkin; Deep Ganguli (FAccT, 2024)

Towards Understanding Sycophancy in Language Models. - 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; et al. (ICLR, 2024)

NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps. - Kristina Gligoric; Myra Cheng; Lucia Zheng; Esin Durmus; Dan Jurafsky (NAACL-HLT, 2024)

Many-shot Jailbreaking. - Cem Anil; Esin Durmus; Nina Panickssery; Mrinank Sharma; Joe Benton; Sandipan Kundu; Joshua Batson; Meg Tong; Jesse Mu; Daniel Ford; Francesco Mosconi; Rajashree Agrawal; et al. (NeurIPS, 2024)

How will advanced AI systems impact democracy? - 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; et al. (CoRR, 2024)

Sabotage Evaluations for Frontier Models. - Joe Benton; Misha Wagner; Eric Christiansen; Cem Anil; Ethan Perez; Jai Srivastav; Esin Durmus; Deep Ganguli; Shauna Kravec; Buck Shlegeris; Jared Kaplan; Holden Karnofsky; et al. (CoRR, 2024)

Clio: Privacy-Preserving Insights into Real-World AI Use. - Alex Tamkin; Miles McCain; Kunal Handa; Esin Durmus; Liane Lovitt; Ankur Rathi; Saffron Huang; Alfred Mountfield; Jerry Hong; Stuart Ritchie; Michael Stern; Brian Clarke; et al. (CoRR, 2024)

Benchmarking Large Language Models for News Summarization. - Tianyi Zhang; Faisal Ladhak; Esin Durmus; Percy Liang; Kathleen R. McKeown; Tatsunori B. Hashimoto (Trans. Assoc. Comput. Linguistics, 2024)

Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversations. - Kunal Handa; Alex Tamkin; Miles McCain; Saffron Huang; Esin Durmus; Sarah Heck; Jared Mueller; Jerry Hong; Stuart Ritchie; Tim Belonax; Kevin K. Troy; Dario Amodei; et al. (CoRR, 2025)

SafeArena: Evaluating the Safety of Autonomous Web Agents. - Ada Defne Tur; Nicholas Meade; Xing Han Lù; Alejandra Zambrano; Arkil Patel; Esin Durmus; Spandana Gella; Karolina Stanczak; Siva Reddy (CoRR, 2025)

Values in the Wild: Discovering and Analyzing Values in Real-World Language Model Interactions. - Saffron Huang; Esin Durmus; Miles McCain; Kunal Handa; Alex Tamkin; Jerry Hong; Michael Stern; Arushi Somani; Xiuruo Zhang; Deep Ganguli (CoRR, 2025)

Must Read: A Systematic Survey of Computational Persuasion. - Nimet Beyza Bozdag; Shuhaib Mehri; Xiaocheng Yang; Hyeonjeong Ha; Zirui Cheng; Esin Durmus; Jiaxuan You; Heng Ji 001; Gokhan Tur; Dilek Hakkani-Tür (CoRR, 2025)