Elisa Kreiss

According to our database, Elisa Kreiss authored at least 21 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Measuring Bias or Measuring the Task: Understanding the Brittle Nature of LLM Gender Biases.

Bufan Gao, Elisa Kreiss

CoRR, September, 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, May, 2025

MOSAIC: Modeling Social AI for Content Dissemination and Regulation in Multi-Agent Simulations.

Genglin Liu, Salman Rahman, Elisa Kreiss, Marzyeh Ghassemi, Saadia Gabriel

CoRR, April, 2025

2024

ContextRef: Evaluating Referenceless Metrics for Image Description Generation.

Elisa Kreiss, Eric Zelikman, Christopher Potts, Nick Haber

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Updating CLIP to Prefer Descriptions Over Captions.

Amir Zur, Elisa Kreiss, Karel D'Oosterlinck, Christopher Potts, Atticus Geiger

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

CommVQA: Situating Visual Question Answering in Communicative Contexts.

Nandita Naik, Christopher Potts, Elisa Kreiss

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Context-VQA: Towards Context-Aware and Purposeful Visual Question Answering.

Nandita Naik, Christopher Potts, Elisa Kreiss

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Semantics for Causing, Enabling, and Preventing Verbs Using Structural Causal Models.

Angela Cao, Atticus Geiger, Elisa Kreiss, Thomas Icard, Tobias Gerstenberg

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

Causal Distillation for Language Models.

Zhengxuan Wu, Atticus Geiger, Joshua Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Christopher Potts, Noah D. Goodman

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 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

Proceedings of the International Conference on Machine Learning, 2022

Concadia: Towards Image-Based Text Generation with a Purpose.

Elisa Kreiss, Fei Fang, Noah D. Goodman, Christopher Potts

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Color Overmodification Emerges from Data-Driven Learning and Pragmatic Reasoning.

Fei Fang, Kunal Sinha, Noah D. Goodman, Christopher Potts, Elisa Kreiss

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Concadia: Tackling image accessibility with context.

Elisa Kreiss, Noah D. Goodman, Christopher Potts

CoRR, 2021

ReaSCAN: Compositional Reasoning in Language Grounding.

Zhengxuan Wu, Elisa Kreiss, Desmond C. Ong, Christopher Potts

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

Modeling Subjective Assessments of Guilt in Newspaper Crime Narratives.

Elisa Kreiss, Zijian Wang, Christopher Potts

Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

Production expectations modulate contrastive inference.

Elisa Kreiss, Judith Degen

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

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

Uncertain evidence statements and guilt perception in iterative reproductions of crime stories.

Elisa Kreiss, Michael Franke, Judith Degen

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2017

Mentioning atypical properties of objects is communicatively efficient.

Elisa Kreiss, Robert X. D. Hawkins, Judith Degen, Noah D. Goodman

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017