Automatic Dialogue Generation with Expressed Emotions. - Chenyang Huang 001; Osmar R. Zaïane; Amine Trabelsi; Nouha Dziri (NAACL-HLT (2), 2018)

Augmenting Neural Response Generation with Context-Aware Topical Attention. - Nouha Dziri; Ehsan Kamalloo; Kory W. Mathewson; Osmar R. Zaïane (CoRR, 2018)

Evaluating Coherence in Dialogue Systems using Entailment. - Nouha Dziri; Ehsan Kamalloo; Kory W. Mathewson; Osmar R. Zaïane (WNLP@ACL, 2019)

Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding. - Nouha Dziri; Andrea Madotto; Osmar Zaïane; Avishek Joey Bose (EMNLP (1), 2021)

Decomposed Mutual Information Estimation for Contrastive Representation Learning. - Alessandro Sordoni; Nouha Dziri; Hannes Schulz; Geoffrey J. Gordon; Philip Bachman; Remi Tachet des Combes (ICML, 2021)

Evaluating Groundedness in Dialogue Systems: The BEGIN Benchmark. - Nouha Dziri; Hannah Rashkin; Tal Linzen; David Reitter (CoRR, 2021)

On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models? - Nouha Dziri; Sivan Milton; Mo Yu; Osmar R. Zaïane; Siva Reddy (NAACL-HLT, 2022)

FaithDial: A Faithful Benchmark for Information-Seeking Dialogue. - Nouha Dziri; Ehsan Kamalloo; Sivan Milton; Osmar R. Zaïane; Mo Yu; Edoardo Maria Ponti; Siva Reddy (Trans. Assoc. Comput. Linguistics, 2022)

Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark. - Nouha Dziri; Hannah Rashkin; Tal Linzen; David Reitter (Trans. Assoc. Comput. Linguistics, 2022)

Evaluating Open-Domain Question Answering in the Era of Large Language Models. - Ehsan Kamalloo; Nouha Dziri; Charles L. A. Clarke; Davood Rafiei (ACL (1), 2023)

Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. - Ximing Lu; Faeze Brahman; Peter West; Jaehun Jung; Khyathi Raghavi Chandu; Abhilasha Ravichander; Prithviraj Ammanabrolu; Liwei Jiang; Sahana Ramnath; Nouha Dziri; Jillian Fisher; Bill Y. Lin; et al. (EMNLP, 2023)

What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations. - Kavel Rao; Liwei Jiang; Valentina Pyatkin; Yuling Gu; Niket Tandon; Nouha Dziri; Faeze Brahman; Yejin Choi 001 (EMNLP (Findings), 2023)

Champagne: Learning Real-world Conversation from Large-Scale Web Videos. - Seungju Han 002; Jack Hessel; Nouha Dziri; Yejin Choi 001; Youngjae Yu (ICCV, 2023)

Faith and Fate: Limits of Transformers on Compositionality. - Nouha Dziri; Ximing Lu; Melanie Sclar; Xiang Lorraine Li; Liwei Jiang; Bill Yuchen Lin; Sean Welleck; Peter West; Chandra Bhagavatula; Ronan Le Bras 001; Jena D. Hwang; Soumya Sanyal 001; et al. (NeurIPS, 2023)

Self-Refine: Iterative Refinement with Self-Feedback. - Aman Madaan; Niket Tandon; Prakhar Gupta; Skyler Hallinan; Luyu Gao; Sarah Wiegreffe; Uri Alon 002; Nouha Dziri; Shrimai Prabhumoye; Yiming Yang; Shashank Gupta; Bodhisattwa Prasad Majumder; et al. (NeurIPS, 2023)

Fine-Grained Human Feedback Gives Better Rewards for Language Model Training. - Zeqiu Wu; Yushi Hu; Weijia Shi; Nouha Dziri; Alane Suhr; Prithviraj Ammanabrolu; Noah A. Smith; Mari Ostendorf; Hannaneh Hajishirzi (NeurIPS, 2023)

Self-Refine: Iterative Refinement with Self-Feedback. - Aman Madaan; Niket Tandon; Prakhar Gupta; Skyler Hallinan; Luyu Gao; Sarah Wiegreffe; Uri Alon 002; Nouha Dziri; Shrimai Prabhumoye; Yiming Yang; Sean Welleck; Bodhisattwa Prasad Majumder; et al. (CoRR, 2023)

Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties. - Taylor Sorensen; Liwei Jiang; Jena D. Hwang; Sydney Levine; Valentina Pyatkin; Peter West; Nouha Dziri; Ximing Lu; Kavel Rao; Chandra Bhagavatula; Maarten Sap; John Tasioulas; et al. (AAAI, 2024)

The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning. - Bill Yuchen Lin; Abhilasha Ravichander; Ximing Lu; Nouha Dziri; Melanie Sclar; Khyathi Raghavi Chandu; Chandra Bhagavatula; Yejin Choi 001 (ICLR, 2024)

Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement. - Linlu Qiu; Liwei Jiang; Ximing Lu; Melanie Sclar; Valentina Pyatkin; Chandra Bhagavatula; Bailin Wang; Yoon Kim; Yejin Choi 001; Nouha Dziri; Xiang Ren 001 (ICLR, 2024)

The Generative AI Paradox: "What It Can Create, It May Not Understand". - Peter West; Ximing Lu; Nouha Dziri; Faeze Brahman; Linjie Li; Jena D. Hwang; Liwei Jiang; Jillian Fisher; Abhilasha Ravichander; Khyathi Raghavi Chandu; Benjamin Newman; Pang Wei Koh; et al. (ICLR, 2024)

Position: A Roadmap to Pluralistic Alignment. - Taylor Sorensen; Jared Moore; Jillian Fisher; Mitchell L. Gordon; Niloofar Mireshghallah; Christopher Michael Rytting; Andre Ye; Liwei Jiang; Ximing Lu; Nouha Dziri; Tim Althoff; Yejin Choi 001 (ICML, 2024)

Elastic Weight Removal for Faithful and Abstractive Dialogue Generation. - Nico Daheim; Nouha Dziri; Mrinmaya Sachan; Iryna Gurevych; Edoardo M. Ponti (NAACL-HLT, 2024)

The Art of Saying No: Contextual Noncompliance in Language Models. - Faeze Brahman; Sachin Kumar 009; Vidhisha Balachandran; Pradeep Dasigi; Valentina Pyatkin; Abhilasha Ravichander; Sarah Wiegreffe; Nouha Dziri; Khyathi Raghavi Chandu; Jack Hessel; Yulia Tsvetkov; Noah A. Smith; et al. (NeurIPS, 2024)

WildGuard: Open One-stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs. - Seungju Han 002; Kavel Rao; Allyson Ettinger; Liwei Jiang; Bill Yuchen Lin; Nathan Lambert 001; Yejin Choi 001; Nouha Dziri (NeurIPS, 2024)

WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models. - Liwei Jiang; Kavel Rao; Seungju Han 002; Allyson Ettinger; Faeze Brahman; Sachin Kumar 009; Niloofar Mireshghallah; Ximing Lu; Maarten Sap; Yejin Choi 001; Nouha Dziri (NeurIPS, 2024)

A Roadmap to Pluralistic Alignment. - Taylor Sorensen; Jared Moore; Jillian Fisher; Mitchell L. Gordon; Niloofar Mireshghallah; Christopher Michael Rytting; Andre Ye; Liwei Jiang; Ximing Lu; Nouha Dziri; Tim Althoff; Yejin Choi 001 (CoRR, 2024)

RewardBench: Evaluating Reward Models for Language Modeling. - Nathan Lambert 001; Valentina Pyatkin; Jacob Morrison; LJ Miranda; Bill Yuchen Lin; Khyathi Raghavi Chandu; Nouha Dziri; Sachin Kumar 009; Tom Zick; Yejin Choi 001; Noah A. Smith; Hannaneh Hajishirzi (CoRR, 2024)

CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language Prompting. - Huihan Li 001; Liwei Jiang; Jena D. Huang; Hyunwoo Kim 002; Sebastin Santy; Taylor Sorensen; Bill Yuchen Lin; Nouha Dziri; Xiang Ren 001; Yejin Choi 001 (CoRR, 2024)

WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild. - Bill Yuchen Lin; Yuntian Deng; Khyathi Raghavi Chandu; Faeze Brahman; Abhilasha Ravichander; Valentina Pyatkin; Nouha Dziri; Ronan Le Bras 001; Yejin Choi 001 (CoRR, 2024)

Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction. - Jarrid Rector-Brooks; Mohsin Hasan; Zhangzhi Peng; Zachary Quinn; Cheng-Hao Liu; Sarthak Mittal; Nouha Dziri; Michael M. Bronstein; Yoshua Bengio; Pranam Chatterjee; Alexander Tong 001; Avishek Joey Bose (CoRR, 2024)

SafetyAnalyst: Interpretable, transparent, and steerable LLM safety moderation. - Jing-Jing Li; Valentina Pyatkin; Max Kleiman-Weiner; Liwei Jiang; Nouha Dziri; Anne G. E. Collins; Jana Schaich Borg; Maarten Sap; Yejin Choi 001; Sydney Levine (CoRR, 2024)

TÜLU 3: Pushing Frontiers in Open Language Model Post-Training. - Nathan Lambert 001; Jacob Morrison; Valentina Pyatkin; Shengyi Huang; Hamish Ivison; Faeze Brahman; Lester James V. Miranda; Alisa Liu; Nouha Dziri; Shane Lyu; Yuling Gu; Saumya Malik; et al. (CoRR, 2024)

To Err Is AI: A Case Study Informing LLM Flaw Reporting Practices. - Sean McGregor; Allyson Ettinger; Nick Judd; Paul Albee; Liwei Jiang; Kavel Rao; William H. Smith; Shayne Longpre; Avijit Ghosh; Christopher Fiorelli; Michelle Hoang; Sven Cattell; et al. (AAAI, 2025)

WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild. - Bill Yuchen Lin; Yuntian Deng; Khyathi Raghavi Chandu; Abhilasha Ravichander; Valentina Pyatkin; Nouha Dziri; Ronan Le Bras 001; Yejin Choi 001 (ICLR, 2025)

AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text. - Ximing Lu; Melanie Sclar; Skyler Hallinan; Niloofar Mireshghallah; Jiacheng Liu 010; Seungju Han 002; Allyson Ettinger; Liwei Jiang; Khyathi Raghavi Chandu; Nouha Dziri; Yejin Choi 001 (ICLR, 2025)

Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction. - Jarrid Rector-Brooks; Mohsin Hasan; Zhangzhi Peng; Cheng-Hao Liu; Sarthak Mittal; Nouha Dziri; Michael M. Bronstein; Pranam Chatterjee; Alexander Tong 001; Joey Bose (ICLR, 2025)

RewardBench: Evaluating Reward Models for Language Modeling. - Nathan Lambert 001; Valentina Pyatkin; Jacob Morrison; Lester James V. Miranda; Bill Yuchen Lin; Khyathi Raghavi Chandu; Nouha Dziri; Sachin Kumar 009; Tom Zick; Yejin Choi 001; Noah A. Smith; Hannaneh Hajishirzi (NAACL (Findings), 2025)

REL-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance. - Kaitlyn Zhou; Jena D. Hwang; Xiang Ren 001; Nouha Dziri; Dan Jurafsky; Maarten Sap (NAACL (Long Papers), 2025)

Multi-Attribute Constraint Satisfaction via Language Model Rewriting. - Ashutosh Baheti; Debanjana Chakraborty; Faeze Brahman; Ronan Le Bras 001; Ximing Lu; Nouha Dziri; Yejin Choi 001; Mark O. Riedl; Maarten Sap (Trans. Mach. Learn. Res., 2025)

2 OLMo 2 Furious. - Team OLMo; Pete Walsh; Luca Soldaini; Dirk Groeneveld; Kyle Lo; Shane Arora; Akshita Bhagia; Yuling Gu; Shengyi Huang; Matt Jordan; Nathan Lambert 001; Dustin Schwenk; et al. (CoRR, 2025)

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. - Yue Huang 001; Chujie Gao; Siyuan Wu 001; Haoran Wang 005; Xiangqi Wang; Yujun Zhou 010; Yanbo Wang 005; Jiayi Ye; Jiawen Shi; Qihui Zhang; Yuan Li 032; Han Bao 003; et al. (CoRR, 2025)

Climbing the Ladder of Reasoning: What LLMs Can-and Still Can't-Solve after SFT? - Yiyou Sun; Georgia Zhou; Hao Wang 112; Dacheng Li; Nouha Dziri; Dawn Song (CoRR, 2025)

Surfacing Semantic Orthogonality Across Model Safety Benchmarks: A Multi-Dimensional Analysis. - Jonathan Bennion; Shaona Ghosh; Mantek Singh; Nouha Dziri (CoRR, 2025)

OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization. - Yiyou Sun; Shawn Hu; Georgia Zhou; Ken Zheng; Hannaneh Hajishirzi; Nouha Dziri; Dawn Song (CoRR, 2025)

The Singapore Consensus on Global AI Safety Research Priorities. - Yoshua Bengio; Tegan Maharaj; Luke Ong; Stuart Russell 001; Dawn Song; Max Tegmark; Lan Xue; Ya-Qin Zhang; Stephen Casper; Wan Sie Lee; Sören Mindermann; Vanessa Wilfred; et al. (CoRR, 2025)

A Different Approach to AI Safety: Proceedings from the Columbia Convening on Openness in Artificial Intelligence and AI Safety. - Camille François; Ludovic Peran; Ayah Bdeir; Nouha Dziri; Will Hawkins; Yacine Jernite; Sayash Kapoor; Juliet Shen; Heidy Khlaaf; Kevin Klyman; Nik Marda; Marie Pellat; et al. (CoRR, 2025)

OpenAgentSafety: A Comprehensive Framework for Evaluating Real-World AI Agent Safety. - Sanidhya Vijayvargiya; Aditya Bharat Soni; Xuhui Zhou; Zora Zhiruo Wang; Nouha Dziri; Graham Neubig; Maarten Sap (CoRR, 2025)