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Home/Authors/Tao Chen

Tao Chen

4 indexed papers

Recent (6 mo)
4
With code
0
Influential cites
0
Benchmarked
0

Publications per year

4
26

Top categories

AI×3NLP×2ML×1Vision×1Crypto×1

Frequent co-authors

Jintao Chen2×
Zilin Xiao1×
Qi Ma1×
Chun-cheng Jason Chen1×
Xintao Chen1×
Avinash Atreya1×

Research Timeline

2026
PragLocker: Protecting Agent Intellectual Property in Untrusted Deployments via Non-Portable Prompts

PragLocker is a novel prompt protection scheme that secures valuable LLM agent prompts against theft and reuse by other proprietary models by making them non-portable.

VITAL: Visual-Semantic Dual Supervision for Enhanced and Interpretable Latent Reasoning in Medical MLLMs

VITAL introduces a novel latent-space reasoning framework for medical MLLMs, utilizing visual-semantic dual supervision to enhance reasoning capabilities and provide crucial interpretability without sacrificing efficiency.

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.

Learning to Reason by Analogy via Retrieval-Augmented Reinforcement Fine-Tuning

This paper proposes a post-training framework called Retrieval-Augmented Reinforcement Fine-Tuning (RA-RFT) to teach language models to reason by analogy.

Highlighted terms show continued research focus across papers

Papers

cs.CLcs.AIEmpiricalRecentJun 11, 2026

Learning to Reason by Analogy via Retrieval-Augmented Reinforcement Fine-Tuning

Zilin Xiao, Qi Ma, Chun-cheng Jason Chen, Xintao Chen +3 more

This paper proposes a post-training framework called Retrieval-Augmented Reinforcement Fine-Tuning (RA-RFT) to teach language models to reason by analogy.

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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.CVcs.AIRecentMay 27, 2026

VITAL: Visual-Semantic Dual Supervision for Enhanced and Interpretable Latent Reasoning in Medical MLLMs

Qiaoru Li, Shaotian Liang, Jintao Chen, Haoran Sun +3 more

VITAL introduces a novel latent-space reasoning framework for medical MLLMs, utilizing visual-semantic dual supervision to enhance reasoning capabilities and provide crucial interpretability without s…

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cs.CRcs.AIRecentMay 7, 2026

PragLocker: Protecting Agent Intellectual Property in Untrusted Deployments via Non-Portable Prompts

Qinfeng Li, Yuntai Bao, Jianghui Hu, Wenqi Zhang +4 more

PragLocker is a novel prompt protection scheme that secures valuable LLM agent prompts against theft and reuse by other proprietary models by making them non-portable.

View →