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Zhuochun Li

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#natural language process... Preprint Aug 2026

SPEAR: Distilling Domain-Adaptive Reasoning Skeletons via Sequential Symbolic Alignment in Reinforcement Learning

This work introduces SPEAR (Symbolic Process Evaluation and Alignment Reward), a training-free and plug-and-play process reward method for sequence-level on-policy distillation that effectively bridges the reasoning gap between student and teacher models via sequence-level distillation with efficient dense process rewa...

Zhuo-Chun Li, Yuelyu Ji, Yiming Zeng et al. · 1 citation
#natural language process... Preprint Aug 2026

MoEGen: Mixture-of-Experts for Instance-Adaptive LoRA Generation

This work proposes MoEGen, an adaptation framework that shifts MoE-based PEFT from expert selection to expert-conditioned parameter generation, and decouples expert capacity from adapter storage while enabling instance-conditioned adaptation.

Yiming Zeng, Lei Lu, Zexin Li et al. · 1 citation · ⚡1
Preprint Aug 2026

One Success Isn't Reliability: Thinkingbox, a Sandbox and Benchmark for Agents in Stateful Business Workflows

Thinkingbox is introduced, a sandbox for tool-agent-user interaction that provides isolated MCP-compatible tool sessions, complete execution traces, and outcome evaluation over terminal backend state, and Thinkingbox-bench reveals a large gap between occasionally finding a successful trajectory and reliably completing...

Zhuo-Chun Li, Youngmin Ko, Ali Keramati et al. · 3 citations

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