14 papers
IR2Solve: Structured Intermediate Representations for Cost-Efficient Optimization Autoformulation
Penglin Zhu, Linhai Zhang, Jungang Xu +2
Large language models (LLMs) can translate natural-language optimization problems into solver-ready formulations, but direct code generation is brittle: schema, indexing, and seman…
HiMe: Real-Time Self-Hosted Personal Agent Platform for Health Insights with Wearable Devices
Wei Liu, Siya Qi, Linhai Zhang +2
Traditional approaches to wearable health signal analysis, such as smartwatches, are constrained by rigid analytical frameworks and limited personalisation. The emergence of LLM ag…
EDIT: Evidence-Diagnosed Intervention Training for Rule-Faithful LLM Grading
Zhihao Wu, Linhai Zhang, Taiyi Wang +4
Reliable rubric grading requires more than accurate score prediction. Each judgement must be grounded in the mark scheme and evidence from the student answer. Existing credit-assig…
MAP: A Meta-Cognitive Autonomous Intelligent Agents Framework for Complex Persuasion
Dingyi Zhang, Ziqing Zhuang, Linhai Zhang +2
Persuasive dialogue generation plays a vital role in decision-making, negotiation, counseling, and behavior change, yet it remains a challenging problem. In complex persuasion wher…
Test-Time Personalization: A Diagnostic Framework and Probabilistic Fix for Scaling Failures
Linhai Zhang, Yulan He
Existing approaches to LLM personalization focus on constructing better personalized models or inputs, while treating inference as a single-shot process. In this work, we study Tes…
Beyond Meta-Reasoning: Metacognitive Consolidation for Self-Improving LLM Reasoning
Ziqing Zhuang, Linhai Zhang, Jiasheng Si +2
Large language models (LLMs) have demonstrated strong reasoning capabilities, and as existing approaches for enhancing LLM reasoning continue to mature, increasing attention has sh…