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Home/Authors/Kai Tang

Kai Tang

2 indexed papers

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

Publications per year

2
26

Top categories

ML×1NLP×1AI×1

Frequent co-authors

Tao Chen1×
Gangwei Jiang1×
Pengyu Cheng1×
Siyuan Huang1×
Yihao Liu1×
Jingwei Ni1×

Research Timeline

2026
Mitigating Hallucinations in Large Language Models Via Decoder Layer Skipping

The paper introduces DeLask, a novel decoding framework that dynamically skips or partially aggregates problematic decoder layers to significantly mitigate hallucinations in Large Language Models.

Skill-RM: Unifying Heterogeneous Evaluation Criteria via Agent Skill

The paper proposes Skill-RM, a unified framework that treats reward modeling as an agentic task to consistently integrate diverse evaluation criteria, achieving superior performance over traditional methods.

Highlighted terms show continued research focus across papers

Papers

cs.LGcs.CLRecentJun 2, 2026

Skill-RM: Unifying Heterogeneous Evaluation Criteria via Agent Skill

Tao Chen, Gangwei Jiang, Pengyu Cheng, Siyuan Huang +9 more

The paper proposes Skill-RM, a unified framework that treats reward modeling as an agentic task to consistently integrate diverse evaluation criteria, achieving superior performance over traditional m…

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cs.AIRecentMay 30, 2026

Mitigating Hallucinations in Large Language Models Via Decoder Layer Skipping

Hanze Li, Jinhao You, Yichen Guo, Kai Tang +2 more

The paper introduces DeLask, a novel decoding framework that dynamically skips or partially aggregates problematic decoder layers to significantly mitigate hallucinations in Large Language Models.

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