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Elisa Kreiss
Elisa Kreiss
Verified email at ucla.edu - Homepage
Title
Cited by
Cited by
Year
When redundancy is useful: A Bayesian approach to “overinformative” referring expressions.
J Degen, RD Hawkins, C Graf, E Kreiss, ND Goodman
Psychological Review 127 (4), 591, 2020
1122020
Inducing causal structure for interpretable neural networks
A Geiger, Z Wu, H Lu, J Rozner, E Kreiss, T Icard, N Goodman, C Potts
International Conference on Machine Learning, 7324-7338, 2022
472022
Concadia: Towards image-based text generation with a purpose
E Kreiss, F Fang, ND Goodman, C Potts
arXiv preprint arXiv:2104.08376, 2021
20*2021
Context matters for image descriptions for accessibility: Challenges for referenceless evaluation metrics
E Kreiss, C Bennett, S Hooshmand, E Zelikman, MR Morris, C Potts
arXiv preprint arXiv:2205.10646, 2022
162022
Causal distillation for language models
Z Wu, A Geiger, J Rozner, E Kreiss, H Lu, T Icard, C Potts, ND Goodman
arXiv preprint arXiv:2112.02505, 2021
162021
ReaSCAN: Compositional reasoning in language grounding
Z Wu, E Kreiss, DC Ong, C Potts
arXiv preprint arXiv:2109.08994, 2021
162021
Production expectations modulate contrastive inference
E Kreiss, J Degen
Proceedings of the 42nd Annual Conference of the Cognitive Science Society, 2020
112020
Context-vqa: Towards context-aware and purposeful visual question answering
N Naik, C Potts, E Kreiss
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
42023
A semantics for causing, enabling, and preventing verbs using structural causal models
A Cao, A Geiger, E Kreiss, T Icard, T Gerstenberg
Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), 2023
22023
Mentioning atypical properties of objects is communicatively efficient.
E Kreiss, RX Hawkins, J Degen, ND Goodman
Proceedings of the 39th Annual Conference of the Cognitive Science Society, 2017
2*2017
Modeling subjective assessments of guilt in newspaper crime narratives
E Kreiss, Z Wang, C Potts
Proceedings of the 24th Conference on Computational Natural Language Learning, 2020
12020
Uncertain evidence statements and guilt perception in iterative reproductions of crime stories
E Kreiss, M Franke, J Degen
Proceedings of the Annual Meeting of the Cognitive Science Society 41, 2019
12019
CommVQA: Situating Visual Question Answering in Communicative Contexts
NS Naik, C Potts, E Kreiss
arXiv preprint arXiv:2402.15002, 2024
2024
ContextRef: Evaluating Referenceless Metrics For Image Description Generation
E Kreiss, E Zelikman, C Potts, N Haber
arXiv preprint arXiv:2309.11710, 2023
2023
Characterizing Image Accessibility on Wikipedia across Languages
E Kreiss, K Srinivasan, T Piccardi, JA Hermosillo, C Bennett, ...
arXiv preprint arXiv:2305.09038, 2023
2023
The Pragmatics of Image Description Generation
E Kreiss
Stanford University, 2023
2023
A Semantics for Causing, Enabling, and Preventing with Structural Causal Models
A Cao, A Geiger, E Kreiss, T Icard, T Gerstenberg
CogSci, 2023
2023
Practical Challenges for Investigating Abbreviation Strategies
E Kreiss, S Venugopalan, S Kane, MR Morris
CHI Workshop: Assistive Writing, 2023
2023
Color Overmodification Emerges from Data-Driven Learning and Pragmatic Reasoning
F Fang, K Sinha, ND Goodman, C Potts, E Kreiss
arXiv preprint arXiv:2205.09172, 2022
2022
Intuitive Image Descriptions are Context-Sensitive
S Hooshmand, E Kreiss, C Potts
NeurIPS Workshop: Meaning in Context, 2021
2021
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