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

Out-of-Distribution Detection with Likelihoods Assigned by Deep Generative Models Using Multimodal Prior Distributions. - Ryo Kamoi; Kei Kobayashi (SafeAI@AAAI, 2020)

Why is the Mahalanobis Distance Effective for Anomaly Detection? - Ryo Kamoi; Kei Kobayashi (CoRR, 2020)

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

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

DocMath-Eval: Evaluating Numerical Reasoning Capabilities of LLMs in Understanding Long Documents with Tabular Data. - Yilun Zhao 001; Yitao Long; Hongjun Liu 001; Linyong Nan; Lyuhao Chen; Ryo Kamoi; Yixin Liu 003; Xiangru Tang; Rui Zhang 037; Arman Cohan (CoRR, 2023)

DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Financial Documents. - Yilun Zhao 001; Yitao Long; Hongjun Liu 001; Ryo Kamoi; Linyong Nan; Lyuhao Chen; Yixin Liu 003; Xiangru Tang; Rui Zhang 037; Arman Cohan (ACL (1), 2024)

Fair Abstractive Summarization of Diverse Perspectives. - Yusen Zhang 001; Nan Zhang; Yixin Liu 003; Alexander R. Fabbri; Junru Liu; Ryo Kamoi; Xiaoxin Lu; Caiming Xiong; Jieyu Zhao 001; Dragomir Radev; Kathleen R. McKeown; Rui Zhang 037 (NAACL-HLT, 2024)

Evaluating LLMs at Detecting Errors in LLM Responses. - Ryo Kamoi; Sarkar Snigdha Sarathi Das; Renze Lou; Jihyun Janice Ahn; Yilun Zhao 001; Xiaoxin Lu; Nan Zhang; Yusen Zhang 001; Ranran Haoran Zhang; Sujeeth Reddy Vummanthala; Salika Dave; Shaobo Qin; et al. (CoRR, 2024)

When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs. - Ryo Kamoi; Yusen Zhang 001; Nan Zhang; Jiawei Han 001; Rui Zhang 037 (CoRR, 2024)

Direct-Inverse Prompting: Analyzing LLMs' Discriminative Capacity in Self-Improving Generation. - Jihyun Janice Ahn; Ryo Kamoi; Lu Cheng 001; Rui Zhang 037; Wenpeng Yin 001 (CoRR, 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 002; Yusen Zhang 001; Jihyun Janice Ahn; Hongchao Fang; Zhuoyang Zou; et al. (CoRR, 2024)

VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception of Geometric Information. - Ryo Kamoi; Yusen Zhang 001; Sarkar Snigdha Sarathi Das; Ranran Haoran Zhang; Rui Zhang 037 (CoRR, 2024)

When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs. - Ryo Kamoi; Yusen Zhang 001; Nan Zhang; Jiawei Han 001; Rui Zhang 037 (Trans. Assoc. Comput. Linguistics, 2024)

GReaTer: Gradients Over Reasoning Makes Smaller Language Models Strong Prompt Optimizers. - Sarkar Snigdha Sarathi Das; Ryo Kamoi; Bo Pang 004; Yusen Zhang 001; Caiming Xiong; Rui Zhang 037 (ICLR, 2025)

HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding? - Yusen Zhang 001; Wenliang Zheng; Aashrith Madasu; Peng Shi 010; Ryo Kamoi; Hao Zhou; Zhuoyang Zou; Shu Zhao; Sarkar Snigdha Sarathi Das; Vipul Gupta; Xiaoxin Lu; Nan Zhang; et al. (CoRR, 2025)

Training Step-Level Reasoning Verifiers with Formal Verification Tools. - Ryo Kamoi; Yusen Zhang; Nan Zhang; Sarkar Snigdha Sarathi Das; Rui Zhang (CoRR, 2025)