| 2026 | ACL | When More Words Say Less: Decoupling Length and Specificity in Image Description Evaluation. | Rhea Kapur, Robert D. Hawkins, Elisa Kreiss |
| 2026 | CHI | What Stays and What Goes: Auditing the Impact of LLM Summarization on News Partisanship. | Pavel Savgira, Elisa Kreiss, Homa Hosseinmardi |
| 2025 | EMNLP | Measuring Bias or Measuring the Task: Understanding the Brittle Nature of LLM Gender Biases. | Bufan Gao, Elisa Kreiss |
| 2025 | EMNLP | MOSAIC: Modeling Social AI for Content Dissemination and Regulation in Multi-Agent Simulations. | Genglin Liu, Vivian T. Le, Salman Rahman, Elisa Kreiss, Marzyeh Ghassemi, Saadia Gabriel |
| 2024 | CogSci | Evaluating human and machine understanding of data visualizations. | Arnav Verma, Kushin Mukherjee, Christopher Potts, Elisa Kreiss, Judith E. Fan |
| 2024 | EMNLP | CommVQA: Situating Visual Question Answering in Communicative Contexts. | Nandita Naik, Christopher Potts, Elisa Kreiss |
| 2024 | EMNLP | Updating CLIP to Prefer Descriptions Over Captions. | Amir Zur, Elisa Kreiss, Karel D'Oosterlinck, Christopher Potts, Atticus Geiger |
| 2024 | ICLR | ContextRef: Evaluating Referenceless Metrics for Image Description Generation. | Elisa Kreiss, Eric Zelikman, Christopher Potts, Nick Haber |
| 2023 | CogSci | A Semantics for Causing, Enabling, and Preventing Verbs Using Structural Causal Models. | Angela Cao, Atticus Geiger, Elisa Kreiss, Thomas Icard, Tobias Gerstenberg |
| 2022 | CogSci | Color Overmodification Emerges from Data-Driven Learning and Pragmatic Reasoning. | Fei Fang, Kunal Sinha, Noah D. Goodman, Christopher Potts, Elisa Kreiss |
| 2022 | EMNLP | Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics. | Elisa Kreiss, Cynthia L. Bennett, Shayan Hooshmand, Eric Zelikman, Meredith Ringel Morris, Christopher Potts |
| 2022 | EMNLP | Concadia: Towards Image-Based Text Generation with a Purpose. | Elisa Kreiss, Fei Fang, Noah D. Goodman, Christopher Potts |
| 2022 | ICML | Inducing Causal Structure for Interpretable Neural Networks. | Atticus Geiger, Zhengxuan Wu, Hanson Lu, Josh Rozner, Elisa Kreiss, Thomas Icard, Noah D. Goodman, Christopher Potts |
| 2022 | NAACL | Causal Distillation for Language Models. | Zhengxuan Wu, Atticus Geiger, Joshua Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Christopher Potts, Noah D. Goodman |
| 2020 | CogSci | Production expectations modulate contrastive inference. | Elisa Kreiss, Judith Degen |
| 2020 | CoNLL | Modeling Subjective Assessments of Guilt in Newspaper Crime Narratives. | Elisa Kreiss, Zijian Wang, Christopher Potts |
| 2019 | CogSci | Uncertain evidence statements and guilt perception in iterative reproductions of crime stories. | Elisa Kreiss, Michael Franke, Judith Degen |
| 2017 | CogSci | Mentioning atypical properties of objects is communicatively efficient. | Elisa Kreiss, Robert X. D. Hawkins, Judith Degen, Noah D. Goodman |