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Home/Authors/Jiachen Liu

Jiachen Liu

2 indexed papers

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

Publications per year

2
26

Top categories

Software Eng.×1AI×1

Frequent co-authors

Feng Luo1×
Cuiyun Gao1×
Jia Feng1×
Kui Liu1×
Shuaike Li1×
Kai Zhang1×

Research Timeline

2026
From Fact Overwriting to Knowledge Evolution: Causal Editing via On-Policy Self-Distillation

The paper introduces Causal Editing (CODE), a new paradigm that improves knowledge updates in LLMs by grounding fact injection in causal narratives, drastically reducing self-refutation rates.

Towards Reliable C-to-Rust Translation with Rule-Guided Reasoning and Reinforcement Learning

The paper proposes TRAVEL, a framework for automated C-to-Rust translation using Monte Carlo Tree Search and reinforcement learning, improving accuracy and success rate.

Highlighted terms show continued research focus across papers

Papers

cs.SEEmpiricalRecentJul 22, 2026

Towards Reliable C-to-Rust Translation with Rule-Guided Reasoning and Reinforcement Learning

Feng Luo, Jiachen Liu, Cuiyun Gao, Jia Feng +1 more

The paper proposes TRAVEL, a framework for automated C-to-Rust translation using Monte Carlo Tree Search and reinforcement learning, improving accuracy and success rate.

View →
cs.AIRecentMay 27, 2026

From Fact Overwriting to Knowledge Evolution: Causal Editing via On-Policy Self-Distillation

Shuaike Li, Kai Zhang, Xianquan Wang, Jiachen Liu +1 more

The paper introduces Causal Editing (CODE), a new paradigm that improves knowledge updates in LLMs by grounding fact injection in causal narratives, drastically reducing self-refutation rates.

View →