Elisa Kreiss - RankMe

37 papers A* 8B 7Journal 18Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	What Stays and What Goes: Auditing the Impact of LLM Summarization on News Partisanship. CHI Extended Abstracts Pavel Savgira, Elisa Kreiss, Homa Hosseinmardi
2026	J	`jnl`	When More Words Say Less: Decoupling Length and Specificity in Image Description Evaluation. CoRR Rhea Kapur, Robert D. Hawkins, Elisa Kreiss
2025	J	`jnl`	CHART-6: Human-Centered Evaluation of Data Visualization Understanding in Vision-Language Models. CoRR Arnav Verma, Kushin Mukherjee, Christopher Potts, Elisa Kreiss, Judith E. Fan
2025	A*	`conf`	MOSAIC: Modeling Social AI for Content Dissemination and Regulation in Multi-Agent Simulations. EMNLP Genglin Liu, Vivian T. Le, Salman Rahman, Elisa Kreiss, Marzyeh Ghassemi, Saadia Gabriel
2025	J	`jnl`	MOSAIC: Modeling Social AI for Content Dissemination and Regulation in Multi-Agent Simulations. CoRR Genglin Liu, Salman Rahman, Elisa Kreiss, Marzyeh Ghassemi, Saadia Gabriel
2025	J	`jnl`	Meaningless Tokens, Meaningful Gains: How Activation Shifts Enhance LLM Reasoning. CoRR Zeru Shi, Yingjia Wan, Zhenting Wang, Qifan Wang, Fan Yang, Elisa Kreiss, Ruixiang Tang
2025	A*	`conf`	Measuring Bias or Measuring the Task: Understanding the Brittle Nature of LLM Gender Biases. EMNLP Bufan Gao, Elisa Kreiss
2025	J	`jnl`	Measuring Bias or Measuring the Task: Understanding the Brittle Nature of LLM Gender Biases. CoRR Bufan Gao, Elisa Kreiss
2024	A*	`conf`	CommVQA: Situating Visual Question Answering in Communicative Contexts. EMNLP Nandita Naik, Christopher Potts, Elisa Kreiss
2024	J	`jnl`	CommVQA: Situating Visual Question Answering in Communicative Contexts. CoRR Nandita Shankar Naik, Christopher Potts, Elisa Kreiss
2024	A*	`conf`	ContextRef: Evaluating Referenceless Metrics for Image Description Generation. ICLR Elisa Kreiss, Eric Zelikman, Christopher Potts, Nick Haber
2024	B	`conf`	Evaluating human and machine understanding of data visualizations. CogSci Arnav Verma, Kushin Mukherjee, Christopher Potts, Elisa Kreiss, Judith E. Fan
2024	A*	`conf`	Updating CLIP to Prefer Descriptions Over Captions. EMNLP Amir Zur, Elisa Kreiss, Karel D'Oosterlinck, Christopher Potts, Atticus Geiger
2024	J	`jnl`	Updating CLIP to Prefer Descriptions Over Captions. CoRR Amir Zur, Elisa Kreiss, Karel D'Oosterlinck, Christopher Potts, Atticus Geiger
2023	B	`conf`	A Semantics for Causing, Enabling, and Preventing Verbs Using Structural Causal Models. CogSci Angela Cao, Atticus Geiger, Elisa Kreiss, Thomas Icard, Tobias Gerstenberg
2023	J	`jnl`	Characterizing Image Accessibility on Wikipedia across Languages. CoRR Elisa Kreiss, Krishna Srinivasan, Tiziano Piccardi, Jesus Adolfo Hermosillo, Cynthia L. Bennett, Michael S. Bernstein, Meredith Ringel Morris, Christopher Potts
2023	—	`conf`	Context-VQA: Towards Context-Aware and Purposeful Visual Question Answering. ICCV (Workshops) Nandita Naik, Christopher Potts, Elisa Kreiss
2023	J	`jnl`	Context-VQA: Towards Context-Aware and Purposeful Visual Question Answering. CoRR Nandita Naik, Christopher Potts, Elisa Kreiss
2023	J	`jnl`	ContextRef: Evaluating Referenceless Metrics For Image Description Generation. CoRR Elisa Kreiss, Eric Zelikman, Christopher Potts, Nick Haber
2022	—	`conf`	Causal Distillation for Language Models. NAACL-HLT Zhengxuan Wu, Atticus Geiger, Joshua Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Christopher Potts, Noah D. Goodman
2022	B	`conf`	Color Overmodification Emerges from Data-Driven Learning and Pragmatic Reasoning. CogSci Fei Fang, Kunal Sinha, Noah D. Goodman, Christopher Potts, Elisa Kreiss
2022	J	`jnl`	Color Overmodification Emerges from Data-Driven Learning and Pragmatic Reasoning. CoRR Fei Fang, Kunal Sinha, Noah D. Goodman, Christopher Potts, Elisa Kreiss
2022	A*	`conf`	Concadia: Towards Image-Based Text Generation with a Purpose. EMNLP Elisa Kreiss, Fei Fang, Noah D. Goodman, Christopher Potts
2022	A*	`conf`	Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics. EMNLP Elisa Kreiss, Cynthia L. Bennett, Shayan Hooshmand, Eric Zelikman, Meredith Ringel Morris, Christopher Potts
2022	J	`jnl`	Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics. CoRR Elisa Kreiss, Cynthia L. Bennett, Shayan Hooshmand, Eric Zelikman, Meredith Ringel Morris, Christopher Potts
2022	A*	`conf`	Inducing Causal Structure for Interpretable Neural Networks. ICML Atticus Geiger, Zhengxuan Wu, Hanson Lu, Josh Rozner, Elisa Kreiss, Thomas Icard, Noah D. Goodman, Christopher Potts
2021	J	`jnl`	Causal Distillation for Language Models. CoRR Zhengxuan Wu, Atticus Geiger, Josh Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Christopher Potts, Noah D. Goodman
2021	J	`jnl`	Concadia: Tackling image accessibility with context. CoRR Elisa Kreiss, Noah D. Goodman, Christopher Potts
2021	J	`jnl`	Inducing Causal Structure for Interpretable Neural Networks. CoRR Atticus Geiger, Zhengxuan Wu, Hanson Lu, Josh Rozner, Elisa Kreiss, Thomas Icard, Noah D. Goodman, Christopher Potts
2021	—	`conf`	ReaSCAN: Compositional Reasoning in Language Grounding. NeurIPS Datasets and Benchmarks Zhengxuan Wu, Elisa Kreiss, Desmond C. Ong, Christopher Potts
2021	J	`jnl`	ReaSCAN: Compositional Reasoning in Language Grounding. CoRR Zhengxuan Wu, Elisa Kreiss, Desmond C. Ong, Christopher Potts
2020	B	`conf`	Modeling Subjective Assessments of Guilt in Newspaper Crime Narratives. CoNLL Elisa Kreiss, Zijian Wang, Christopher Potts
2020	J	`jnl`	Modeling subjective assessments of guilt in newspaper crime narratives. CoRR Elisa Kreiss, Zijian Wang, Christopher Potts
2020	B	`conf`	Production expectations modulate contrastive inference. CogSci Elisa Kreiss, Judith Degen
2019	B	`conf`	Uncertain evidence statements and guilt perception in iterative reproductions of crime stories. CogSci Elisa Kreiss, Michael Franke, Judith Degen
2019	J	`jnl`	When redundancy is rational: A Bayesian approach to 'overinformative' referring expressions. CoRR Judith Degen, Robert X. D. Hawkins, Caroline Graf, Elisa Kreiss, Noah D. Goodman
2017	B	`conf`	Mentioning atypical properties of objects is communicatively efficient. CogSci Elisa Kreiss, Robert X. D. Hawkins, Judith Degen, Noah D. Goodman