Modeling human visual search: A combined Bayesian searcher and saliency map approach for eye movement guidance in natural scenes. - Melanie Sclar; Gastón Bujia; Sebastián Vita; Guillermo Solovey; Juan E. Kamienkowski (CoRR, 2020)

Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation. - Melanie Sclar; Peter West; Sachin Kumar 009; Yulia Tsvetkov; Yejin Choi 001 (EMNLP, 2022)

Symmetric Machine Theory of Mind. - Melanie Sclar; Graham Neubig; Yonatan Bisk (ICML, 2022)

Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker. - Melanie Sclar; Sachin Kumar 009; Peter West; Alane Suhr; Yejin Choi 001; Yulia Tsvetkov (ACL (1), 2023)

FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions. - Hyunwoo Kim 002; Melanie Sclar; Xuhui Zhou; Ronan Le Bras 001; Gunhee Kim; Yejin Choi 001; Maarten Sap (EMNLP, 2023)

BotPercent: Estimating Bot Populations in Twitter Communities. - Zhaoxuan Tan; Shangbin Feng; Melanie Sclar; Herun Wan; Minnan Luo; Yejin Choi 001; Yulia Tsvetkov (EMNLP (Findings), 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)

BotPercent: Estimating Twitter Bot Populations from Groups to Crowds. - Zhaoxuan Tan; Shangbin Feng; Melanie Sclar; Herun Wan; Minnan Luo; Yejin Choi 001; Yulia Tsvetkov (CoRR, 2023)

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)

Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting. - Melanie Sclar; Yejin Choi 001; Yulia Tsvetkov; Alane Suhr (ICLR, 2024)

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)

Explore Theory of Mind: program-guided adversarial data generation for theory of mind reasoning. - Melanie Sclar; Jane Dwivedi-Yu; Maryam Fazel-Zarandi; Yulia Tsvetkov; Yonatan Bisk; Yejin Choi 001; Asli Celikyilmaz (ICLR, 2025)

Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models. - Hyunwoo Kim 002; Melanie Sclar; Tan Zhi-Xuan; Lance Ying; Sydney Levine; Yang Liu; Joshua B. Tenenbaum; Yejin Choi 001 (CoRR, 2025)

Finding Flawed Fictions: Evaluating Complex Reasoning in Language Models via Plot Hole Detection. - Kabir Ahuja; Melanie Sclar; Yulia Tsvetkov (CoRR, 2025)

PrefPalette: Personalized Preference Modeling with Latent Attributes. - Shuyue Stella Li; Melanie Sclar; Hunter Lang; Ansong Ni; Jacqueline He; Puxin Xu; Andrew Cohen; Chan Young Park; Yulia Tsvetkov; Asli Celikyilmaz (CoRR, 2025)

The Surprising Effectiveness of Membership Inference with Simple N-Gram Coverage. - Skyler Hallinan; Jaehun Jung; Melanie Sclar; Ximing Lu; Abhilasha Ravichander; Sahana Ramnath; Yejin Choi 001; Sai Praneeth Karimireddy; Niloofar Mireshghallah; Xiang Ren 001 (CoRR, 2025)