| Why is the Mahalanobis Distance Effective for Anomaly Detection? R Kamoi, K Kobayashi arXiv preprint arXiv:2003.00402, 2020 | 75 | 2020 |
| WiCE: Real-World Entailment for Claims in Wikipedia R Kamoi, T Goyal, JD Rodriguez, G Durrett EMNLP 2023, 2023 | 74 | 2023 |
| 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 Transactions of the Association for Computational Linguistics (2024) 12 …, 2024 | 29* | 2024 |
| 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 | 22* | 2024 |
| Shortcomings of Question Answering Based Factuality Frameworks for Error Localization R Kamoi, T Goyal, G Durrett EACL 2023, 2023 | 15 | 2023 |
| 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 | 14* | 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 | 10 | 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 | 3 | 2020 |
| Visonlyqa: Large vision language models still struggle with visual perception of geometric information R Kamoi, Y Zhang, SSS Das, RH Zhang, R Zhang arXiv preprint arXiv:2412.00947, 2024 | 2 | 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 | 2 | 2021 |
| 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 |
| 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 | 1 | 2024 |
| GReaTer: Gradients over Reasoning Makes Smaller Language Models Strong Prompt Optimizers SSS Das, R Kamoi, B Pang, Y Zhang, C Xiong, R Zhang ICLR 2025, 2025 | | 2025 |
| AAAR-1.0: Assessing AI's Potential to Assist Research R Lou, H Xu, S Wang, J Du, R Kamoi, X Lu, J Xie, Y Sun, Y Zhang, JJ Ahn, ... arXiv preprint arXiv:2410.22394, 2024 | | 2024 |
Rui ZhangAssistant Professor, Computer Science and Engineering, Penn State UniversityПодтвержден адрес электронной почты в домене psu.edu