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Home/Authors/Juanzi Li

Juanzi Li

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

AI×3NLP×3ML×2

Frequent co-authors

Lei Hou2×
Amy Xin1×
Jiening Siow1×
Junjie Wang1×
Zijun Yao1×
Fanjin Zhang1×

Research Timeline

2026
LongTraceRL: Learning Long-Context Reasoning from Search Agent Trajectories with Rubric Rewards

LongTraceRL addresses long-context reasoning challenges by generating highly challenging training data and introducing a fine-grained rubric reward, significantly improving evidence-grounded reasoning in LLMs.

Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning

This paper introduces CHERRL, a controllable hacking environment for rubric-based reinforcement learning to study and mitigate reward hacking.

EurekAgent: Agent Environment Engineering is All You Need For Autonomous Scientific Discovery

This paper presents EurekAgent, an environment-engineered agent system for metric-driven autonomous scientific discovery.

Highlighted terms show continued research focus across papers

Papers

cs.AIcs.CLEmpiricalRecentJun 11, 2026

EurekAgent: Agent Environment Engineering is All You Need For Autonomous Scientific Discovery

Amy Xin, Jiening Siow, Junjie Wang, Zijun Yao +4 more

This paper presents EurekAgent, an environment-engineered agent system for metric-driven autonomous scientific discovery.

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cs.LGcs.AIcs.CLRecent
Jun 3, 2026

Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning

Xuekang Wang, Zhuoyuan Hao, Shuo Hou, Hao Peng +2 more

This paper introduces CHERRL, a controllable hacking environment for rubric-based reinforcement learning to study and mitigate reward hacking.

View →
cs.CLcs.AIcs.LGRecentMay 29, 2026

LongTraceRL: Learning Long-Context Reasoning from Search Agent Trajectories with Rubric Rewards

Nianyi Lin, Jiajie Zhang, Lei Hou, Juanzi Li

LongTraceRL addresses long-context reasoning challenges by generating highly challenging training data and introducing a fine-grained rubric reward, significantly improving evidence-grounded reasoning…

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