I Know the Feeling: Learning to Converse with Empathy. - Hannah Rashkin; Eric Michael Smith; Margaret Li; Y-Lan Boureau (CoRR, 2018)

Towards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset. - Hannah Rashkin; Eric Michael Smith; Margaret Li; Y-Lan Boureau (ACL (1), 2019)

ACUTE-EVAL: Improved Dialogue Evaluation with Optimized Questions and Multi-turn Comparisons. - Margaret Li; Jason Weston; Stephen Roller (CoRR, 2019)

Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training. - Margaret Li; Stephen Roller; Ilia Kulikov; Sean Welleck; Y-Lan Boureau; Kyunghyun Cho; Jason Weston (ACL, 2020)

I love your chain mail! Making knights smile in a fantasy game world: Open-domain goal-oriented dialogue agents. - Shrimai Prabhumoye; Margaret Li; Jack Urbanek; Emily Dinan; Douwe Kiela; Jason Weston; Arthur Szlam (CoRR, 2020)

Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions. - Stephen Roller; Y-Lan Boureau; Jason Weston; Antoine Bordes; Emily Dinan; Angela Fan; David Gunning; Da Ju; Margaret Li; Spencer Poff; Pratik Ringshia; Kurt Shuster 001; et al. (CoRR, 2020)

Recipes for Safety in Open-domain Chatbots. - Jing Xu; Da Ju; Margaret Li; Y-Lan Boureau; Jason Weston; Emily Dinan (CoRR, 2020)

How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds. - Prithviraj Ammanabrolu; Jack Urbanek; Margaret Li; Arthur Szlam; Tim Rocktäschel; Jason Weston (NAACL-HLT, 2021)

Bot-Adversarial Dialogue for Safe Conversational Agents. - Jing Xu; Da Ju; Margaret Li; Y-Lan Boureau; Jason Weston; Emily Dinan (NAACL-HLT, 2021)

Don't Sweep your Learning Rate under the Rug: A Closer Look at Cross-modal Transfer of Pretrained Transformers. - Danielle Rothermel; Margaret Li; Tim Rocktäschel; Jakob N. Foerster (CoRR, 2021)

Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models. - Margaret Li; Suchin Gururangan; Tim Dettmers; Mike Lewis; Tim Althoff; Noah A. Smith; Luke Zettlemoyer (CoRR, 2022)

Scaling Expert Language Models with Unsupervised Domain Discovery. - Suchin Gururangan; Margaret Li; Mike Lewis; Weijia Shi; Tim Althoff; Noah A. Smith; Luke Zettlemoyer (CoRR, 2023)

Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models. - Terra Blevins; Tomasz Limisiewicz; Suchin Gururangan; Margaret Li; Hila Gonen; Noah A. Smith; Luke Zettlemoyer (EMNLP, 2024)

In-Context Pretraining: Language Modeling Beyond Document Boundaries. - Weijia Shi; Sewon Min; Maria Lomeli; Chunting Zhou; Margaret Li; Xi Victoria Lin; Noah A. Smith; Luke Zettlemoyer; Wen-tau Yih; Mike Lewis (ICLR, 2024)

A Taxonomy of Ambiguity Types for NLP. - Margaret Y. Li; Alisa Liu; Zhaofeng Wu; Noah A. Smith (CoRR, 2024)

Predicting vs. Acting: A Trade-off Between World Modeling & Agent Modeling. - Margaret Li; Weijia Shi; Artidoro Pagnoni; Peter West; Ari Holtzman (CoRR, 2024)

Byte Latent Transformer: Patches Scale Better Than Tokens. - Artidoro Pagnoni; Ramakanth Pasunuru; Pedro Rodríguez 001; John Nguyen; Benjamin Muller; Margaret Li; Chunting Zhou; Lili Yu; Jason E. Weston; Luke Zettlemoyer; Gargi Ghosh; Mike Lewis; et al. (ACL (1), 2025)

(Mis)Fitting Scaling Laws: A Survey of Scaling Law Fitting Techniques in Deep Learning. - Margaret Li; Sneha Kudugunta; Luke Zettlemoyer (ICLR, 2025)

(Mis)Fitting: A Survey of Scaling Laws. - Margaret Li; Sneha Kudugunta; Luke Zettlemoyer (CoRR, 2025)

Precise Information Control in Long-Form Text Generation. - Jacqueline He; Howard Yen; Margaret Li; Shuyue Stella Li; Zhiyuan Zeng; Weijia Shi; Yulia Tsvetkov; Danqi Chen 001; Pang Wei Koh; Luke Zettlemoyer (CoRR, 2025)

FlexOlmo: Open Language Models for Flexible Data Use. - Weijia Shi; Akshita Bhagia; Kevin Farhat; Niklas Muennighoff; Pete Walsh; Jacob Morrison; Dustin Schwenk; Shayne Longpre; Jake Poznanski; Allyson Ettinger; Daogao Liu; Margaret Li; et al. (CoRR, 2025)