Papers by Yuanheng Zhu

2 papers
CriticSearch: Fine-Grained Credit Assignment for Search Agents via a Retrospective Critic (2026.findings-acl)

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Challenge: Existing search agent pipelines rely on sparse outcome rewards, leading to inefficient exploration and unstable training.
Approach: They propose a tool-integrated reasoning framework that provides turn-level feedback via a retrospective critic mechanism.
Outcome: The proposed framework outperforms baselines in multi-hop reasoning benchmarks and achieves faster convergence and training stability.
RLAE: Reinforcement Learning-Assisted Ensemble for LLMs (2025.emnlp-main)

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Challenge: Existing ensemble methods for ensembling large language models rely on fixed weighting strategies that fail to adapt to dynamic, context-dependent characteristics of LLMs.
Approach: They propose a framework that reformulates LLM ensemble through a Markov Decision Process.
Outcome: The proposed framework outperforms existing methods by 3.3% on a diverse set of tasks while achieving lower time latency.

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