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 | 116 | 2020 |
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 | 55 | 2022 |
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 | 21 | 2022 |
Concadia: Towards image-based text generation with a purpose E Kreiss, F Fang, ND Goodman, C Potts arXiv preprint arXiv:2104.08376, 2021 | 21* | 2021 |
ReaSCAN: Compositional reasoning in language grounding Z Wu, E Kreiss, DC Ong, C Potts arXiv preprint arXiv:2109.08994, 2021 | 18 | 2021 |
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 | 17 | 2021 |
Production expectations modulate contrastive inference E Kreiss, J Degen Proceedings of the 42nd Annual Conference of the Cognitive Science Society, 2020 | 12 | 2020 |
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 | 6 | 2023 |
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 | 3 | 2023 |
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 | 1 | 2020 |
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 | 1 | 2019 |
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 |