| 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 | 136 | 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 | 75 | 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 EMNLP, 2022 | 37* | 2022 |
| Concadia: Towards image-based text generation with a purpose E Kreiss, F Fang, ND Goodman, C Potts EMNLP, 2022 | 32* | 2022 |
| ReaSCAN: Compositional reasoning in language grounding Z Wu, E Kreiss, DC Ong, C Potts NeurIPS: Datasets and Benchmarks, 2021 | 24 | 2021 |
| Causal distillation for language models Z Wu, A Geiger, J Rozner, E Kreiss, H Lu, T Icard, C Potts, ND Goodman NAACL, 2022 | 22 | 2022 |
| Production expectations modulate contrastive inference E Kreiss, J Degen Proceedings of the 42nd Annual Conference of the Cognitive Science Society, 2020 | 16 | 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 | 9 | 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 | 5 | 2023 |
| ContextRef: Evaluating Referenceless Metrics For Image Description Generation E Kreiss, E Zelikman, C Potts, N Haber ICLR, 2024 | 4 | 2024 |
| 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 | 2 | 2020 |
| 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 |
| Updating CLIP to Prefer Descriptions Over Captions A Zur, E Kreiss, K D'Oosterlinck, C Potts, A Geiger arXiv preprint arXiv:2406.09458, 2024 | 1 | 2024 |
| The Pragmatics of Image Description Generation E Kreiss Stanford University, 2023 | 1 | 2023 |
| Characterizing Image Accessibility on Wikipedia across Languages E Kreiss, K Srinivasan, T Piccardi, JA Hermosillo, C Bennett, ... WikiWorkshop, 2023 | 1 | 2023 |
| Practical Challenges for Investigating Abbreviation Strategies E Kreiss, S Venugopalan, S Kane, MR Morris CHI Workshop: Assistive Writing, 2023 | 1 | 2023 |
| 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 |
| Reference-Based Metrics Are Biased Against Blind and Low-Vision Users’ Image Description Preferences R Kapur, E Kreiss Proceedings of the Third Workshop on NLP for Positive Impact, 308-314, 2024 | | 2024 |
| CommVQA: Situating Visual Question Answering in Communicative Contexts NS Naik, C Potts, E Kreiss arXiv preprint arXiv:2402.15002, 2024 | | 2024 |
| Evaluating human and machine understanding of data visualizations A Verma, K Mukherjee, C Potts, E Kreiss, JE Fan Proceedings of the Annual Meeting of the Cognitive Science Society 46, 2024 | | 2024 |
Christopher PottsProfessor of Linguistics and, by courtesy, of Computer ScienceVerified email at stanford.edu
