Mentioning atypical properties of objects is communicatively efficient. - Elisa Kreiss; Robert X. D. Hawkins; Judith Degen; Noah D. Goodman (CogSci, 2017)

Uncertain evidence statements and guilt perception in iterative reproductions of crime stories. - Elisa Kreiss; Michael Franke; Judith Degen (CogSci, 2019)

When redundancy is rational: A Bayesian approach to 'overinformative' referring expressions. - Judith Degen; Robert X. D. Hawkins; Caroline Graf; Elisa Kreiss; Noah D. Goodman (CoRR, 2019)

Production expectations modulate contrastive inference. - Elisa Kreiss; Judith Degen (CogSci, 2020)

Modeling Subjective Assessments of Guilt in Newspaper Crime Narratives. - Elisa Kreiss; Zijian Wang 002; Christopher Potts (CoNLL, 2020)

ReaSCAN: Compositional Reasoning in Language Grounding. - Zhengxuan Wu; Elisa Kreiss; Desmond C. Ong; Christopher Potts (NeurIPS Datasets and Benchmarks, 2021)

Concadia: Tackling image accessibility with context. - Elisa Kreiss; Noah D. Goodman; Christopher Potts (CoRR, 2021)

Color Overmodification Emerges from Data-Driven Learning and Pragmatic Reasoning. - Fei Fang 005; Kunal Sinha; Noah D. Goodman; Christopher Potts; Elisa Kreiss (CogSci, 2022)

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 (EMNLP, 2022)

Concadia: Towards Image-Based Text Generation with a Purpose. - Elisa Kreiss; Fei Fang 005; Noah D. Goodman; Christopher Potts (EMNLP, 2022)

Inducing Causal Structure for Interpretable Neural Networks. - Atticus Geiger; Zhengxuan Wu; Hanson Lu; Josh Rozner; Elisa Kreiss; Thomas Icard; Noah D. Goodman; Christopher Potts (ICML, 2022)

Causal Distillation for Language Models. - Zhengxuan Wu; Atticus Geiger; Joshua Rozner; Elisa Kreiss; Hanson Lu; Thomas Icard; Christopher Potts; Noah D. Goodman (NAACL-HLT, 2022)

A Semantics for Causing, Enabling, and Preventing Verbs Using Structural Causal Models. - Angela Cao; Atticus Geiger; Elisa Kreiss; Thomas Icard; Tobias Gerstenberg (CogSci, 2023)

Context-VQA: Towards Context-Aware and Purposeful Visual Question Answering. - Nandita Naik; Christopher Potts; Elisa Kreiss (ICCV (Workshops), 2023)

Characterizing Image Accessibility on Wikipedia across Languages. - Elisa Kreiss; Krishna Srinivasan; Tiziano Piccardi; Jesus Adolfo Hermosillo; Cynthia L. Bennett; Michael S. Bernstein; Meredith Ringel Morris; Christopher Potts (CoRR, 2023)

CommVQA: Situating Visual Question Answering in Communicative Contexts. - Nandita Naik; Christopher Potts; Elisa Kreiss (EMNLP, 2024)

Updating CLIP to Prefer Descriptions Over Captions. - Amir Zur; Elisa Kreiss; Karel D'Oosterlinck; Christopher Potts; Atticus Geiger (EMNLP, 2024)

ContextRef: Evaluating Referenceless Metrics for Image Description Generation. - Elisa Kreiss; Eric Zelikman; Christopher Potts; Nick Haber (ICLR, 2024)

MOSAIC: Modeling Social AI for Content Dissemination and Regulation in Multi-Agent Simulations. - Genglin Liu; Salman Rahman; Elisa Kreiss; Marzyeh Ghassemi; Saadia Gabriel (CoRR, 2025)

CHART-6: Human-Centered Evaluation of Data Visualization Understanding in Vision-Language Models. - Arnav Verma; Kushin Mukherjee; Christopher Potts; Elisa Kreiss; Judith E. Fan (CoRR, 2025)