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Home/Authors/Yue Cheng

Yue Cheng

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

AI×1ML×1Crypto×1

Frequent co-authors

Jiajun Zhang1×
Xiaohui Gao1×
Weiwei Xing1×
Zheng Wang1×
Zhanxing Zhu1×
Chenhao Fang1×

Research Timeline

2026
Reducing Hallucination in Enterprise AI Workflows via Hybrid Utility Minimum Bayes Risk (HUMBR)

The paper introduces a Hybrid Utility Minimum Bayes Risk (HUMBR) framework to significantly reduce hallucinations in high-stakes enterprise AI workflows, outperforming standard consistency methods.

Mechanistically Interpreting the Role of Sample Difficulty in RLVR for LLMs

This paper investigates the non-monotonic role of sample difficulty in Reinforcement Learning with Verifiable Reward (RLVR), finding that medium-difficulty problems provide the most balanced and beneficial learning signals for LLMs.

Highlighted terms show continued research focus across papers

Papers

cs.AIRecentMay 27, 2026

Mechanistically Interpreting the Role of Sample Difficulty in RLVR for LLMs

Yue Cheng, Jiajun Zhang, Xiaohui Gao, Weiwei Xing +2 more

This paper investigates the non-monotonic role of sample difficulty in Reinforcement Learning with Verifiable Reward (RLVR), finding that medium-difficulty problems provide the most balanced and benef…

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cs.LGcs.CRRecentApr 13, 2026

Reducing Hallucination in Enterprise AI Workflows via Hybrid Utility Minimum Bayes Risk (HUMBR)

Chenhao Fang, Jordi Mola, Mark Harman, Jason Nawrocki +9 more

The paper introduces a Hybrid Utility Minimum Bayes Risk (HUMBR) framework to significantly reduce hallucinations in high-stakes enterprise AI workflows, outperforming standard consistency methods.

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