Publications | Ryo Kamoi

When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs
Ryo Kamoi, Yusen Zhang, Nan Zhang, Jiawei Han, Rui Zhang (2024). TACL 2024.

AAAR-1.0: Assessing AI's Potential to Assist Research
Renze Lou, Hanzi Xu, Sijia Wang, Jiangshu Du, Ryo Kamoi, Xiaoxin Lu, Jian Xie, Yuxuan Sun, Yusen Zhang, Jihyun Janice Ahn, Hongchao Fang, Zhuoyang Zou, Wenchao Ma, Xi Li, Kai Zhang, Congying Xia, Lifu Huang, Wenpeng Yin (2024). arXiv preprint arXiv:2410.22394.

Evaluating LLMs at Detecting Errors in LLM Responses
Ryo Kamoi, Sarkar Snigdha Sarathi Das, Renze Lou, Jihyun Janice Ahn, Yilun Zhao, Xiaoxin Lu, Nan Zhang, Yusen Zhang, Ranran Haoran Zhang, Sujeeth Reddy Vummanthala, Salika Dave, Shaobo Qin, Arman Cohan, Wenpeng Yin, Rui Zhang (2024). COLM 2024.

Direct-Inverse Prompting: Analyzing LLMs' Discriminative Capacity in Self-Improving Generation
Jihyun Janice Ahn, Ryo Kamoi, Lu Cheng, Rui Zhang, Wenpeng Yin (2024). arXiv preprint arXiv:2407.11017.

Fair Abstractive Summarization of Diverse Perspectives
Yusen Zhang, Nan Zhang, Yixin Liu, Alexander Fabbri, Junru Liu, Ryo Kamoi, Xiaoxin Lu, Caiming Xiong, Jieyu Zhao, Dragomir Radev, Kathleen McKeown, Rui Zhang (2024). NAACL 2024.

DocMath-Eval: Evaluating Numerical Reasoning Capabilities of LLMs in Understanding Long Documents with Tabular Data
Yilun Zhao, Yitao Long, Hongjun Liu, Linyong Nan, Lyuhao Chen, Ryo Kamoi, Yixin Liu, Xiangru Tang, Rui Zhang, Arman Cohan (2024). ACL 2024.

WiCE: Real-World Entailment for Claims in Wikipedia
Ryo Kamoi, Tanya Goyal, Juan Diego Rodriguez, Greg Durrett (2023). EMNLP 2023.

Shortcomings of Question Answering Based Factuality Frameworks for Error Localization
Ryo Kamoi, Tanya Goyal, Greg Durrett (2023). EACL 2023.

Efficient Unknown Object Detection with Discrepancy Networks for Semantic Segmentation
Ryo Kamoi, Takumi Iida, Kaname Tomite (2021). NeurIPS Workshop on Machine Learning for Autonomous Driving.

Why is the Mahalanobis Distance Effective for Anomaly Detection?
Ryo Kamoi, Kei Kobayashi (2020). arXiv preprint arXiv:2003.00402.

Out-of-Distribution Detection with Likelihoods Assigned by Deep Generative Models Using Multimodal Prior Distributions
Ryo Kamoi, Kei Kobayashi (2020). The AAAI’s Workshop on Artificial Intelligence Safety.

Alternative methods for fast and stable GAN
Katsuhiro Endo, Ryo Kamoi, Kenji Yasuoka (2020). MIRU.

Likelihood Assignment for Out-of-Distribution Inputs in Deep Generative Models is Sensitive to Prior Distribution Choice
Ryo Kamoi, Kei Kobayashi (2019). arXiv preprint arXiv:1911.06515.