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Jierun Chen

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#machine learning Preprint Sep 2026

EfficientAgent: What Makes KV Cache Offloading Work for Concurrent Agents?

EfficientAgent is presented, which sizes and manages the host tier by this working set, which estimates the working set from agent histories to size the host tier and its predictions, made before the experiments, located the capacity at which offloading starts to pay.

Kun-Ming Shao, Jie-Run Chen, Jiang-Nan Yu et al. · 0 citations
#machine learning Preprint Sep 2026

PQ-HSA: Reusing Product-Quantized Scores for Hybrid Sparse-Approximate Attention

PQ-HSA (hybrid sparse-approximate attention) attends the selected tokens with their original keys and values, and the unselected tokens, the background, enter the same softmax through those scores, summed per inverted list and multiplied by the list's mean value.

Kun-Ming Shao, Jie-Run Chen, Yan-Li Wang et al. · 0 citations
Review Jul 2026

SWE-Review: Closing the Loop on Issue Resolution with Agentic Code Review

Experiments show that agentic review continuously improves PRs through a generate-review-revise loop, outperforms single-turn fixed-context review in both decision accuracy and resolve rate after revision, transfers beyond review to improve issue-resolution models, and enables effective and efficient test-time scaling.

Ruoyu Wang, Jierun Chen, Shaowei Wang et al. · 4 citations
Preprint Aug 2026

LEGO-RL: Harness-Native Reinforcement Learning for Coding Agents

Reinforcement learning for coding agents increasingly relies on long-running agent harnesses to manage tool integration, repository contexts, and execution feedback. However, the native execution environments of these harnesses are inherently misaligned with policy-gradient training: environmental crashes and reward ha...

Yi-Ming Du, Yu-Xin Jiang, Tao Yuan et al. · 3 citations

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