| Why is the Mahalanobis Distance Effective for Anomaly Detection? R Kamoi, K Kobayashi arXiv preprint arXiv:2003.00402, 2020 | 58 | 2020 |
| WiCE: Real-World Entailment for Claims in Wikipedia R Kamoi, T Goyal, JD Rodriguez, G Durrett EMNLP 2023, 2023 | 38 | 2023 |
| Shortcomings of Question Answering Based Factuality Frameworks for Error Localization R Kamoi, T Goyal, G Durrett EACL 2023, 2023 | 11 | 2023 |
| DocMath-Eval: Evaluating Numerical Reasoning Capabilities of LLMs in Understanding Long Documents with Tabular Data Y Zhao, Y Long, H Liu, L Nan, L Chen, R Kamoi, Y Liu, X Tang, R Zhang, ... ACL 2024, 2024 | 7 | 2024 |
| When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs R Kamoi, Y Zhang, N Zhang, J Han, R Zhang arXiv preprint arXiv:2406.01297, 2024 | 3 | 2024 |
| Fair Abstractive Summarization of Diverse Perspectives Y Zhang, N Zhang, Y Liu, A Fabbri, J Liu, R Kamoi, X Lu, C Xiong, J Zhao, ... NAACL 2024, 2024 | 3 | 2024 |
| Out-of-Distribution Detection with Likelihoods Assigned by Deep Generative Models Using Multimodal Prior Distributions R Kamoi, K Kobayashi AAAI Workshop on Artificial Intelligence Safety, 2020 | 2 | 2020 |
| Likelihood assignment for out-of-distribution inputs in deep generative models is sensitive to prior distribution choice R Kamoi, K Kobayashi arXiv preprint arXiv:1911.06515, 2019 | 2 | 2019 |
| Evaluating LLMs at Detecting Errors in LLM Responses R Kamoi, SSS Das, R Lou, JJ Ahn, Y Zhao, X Lu, N Zhang, Y Zhang, ... COLM 2024, 2024 | 1 | 2024 |
| Efficient Unknown Object Detection with Discrepancy Networks for Semantic Segmentation R Kamoi, T Iida, K Tomite NeurIPS 2021 Workshop on Machine Learning for Autonomous Driving, 2021 | 1 | 2021 |
| Direct-Inverse Prompting: Analyzing LLMs' Discriminative Capacity in Self-Improving Generation JJ Ahn, R Kamoi, L Cheng, R Zhang, W Yin arXiv preprint arXiv:2407.11017, 2024 | | 2024 |
Greg DurrettAssociate Professor of Computer Science, UT AustinVerified email at cs.utexas.edu
