Ryo Kamoi
Ryo Kamoi
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Training Step-Level Reasoning Verifiers with Formal Verification Tools
Ryo Kamoi
,
Yusen Zhang
,
Nan Zhang
,
Sarkar Snigdha Sarathi Das
,
Rui Zhang
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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
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Direct-Inverse Prompting: Analyzing LLMs' Discriminative Capacity in Self-Improving Generation
Jihyun Janice Ahn
,
Ryo Kamoi
,
Lu Cheng
,
Rui Zhang
,
Wenpeng Yin
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Why is the Mahalanobis Distance Effective for Anomaly Detection?
The Mahalanobis distance-based confidence score, a recently proposed anomaly detection method for pre-trained neural classifiers, …
Ryo Kamoi
,
Kei Kobayashi
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Likelihood Assignment for Out-of-Distribution Inputs in Deep Generative Models is Sensitive to Prior Distribution Choice
Recent work has shown that deep generative models assign higher likelihood to out-of-distribution inputs than to training data. We show …
Ryo Kamoi
,
Kei Kobayashi
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