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Author

Jiuxin Cao

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2026

EcoReason: A Graph-Guided Evolutionary and Negative-Aware Reinforcement Learning Framework for LLM Commonsense Reasoning

While large language models (LLMs) have achieved impressive gains in commonsense reasoning, they often fall into “associative shortcuts,” failing to distinguish correct answers from plausible but constraint-violating hard negatives. This reliance on semantic priors rather than specific situational constraints limits th...

Xin Guan, Jiu-Xin Cao, Biwei Cao et al. · 0 citations
Conference Open access 2026

Don't Be Misled by Style: A Style-Adaptive Reranker for Capturing Effective Knowledge in Retrieval-Augmented Generation

SARK is proposed, a style-augmented multi-task framework that prioritizes effective knowledge over stylistic perturbations in the reranker model and improves generation performance across multiple LLMs under mixed-style conditions.

Ruwen Zhang, Bo Liu, Zhang-Sheng Xiang et al. · 0 citations
Open access Jul 2026

LLM-Enhanced Evolutionary Dependency Graphs: A System Approach to Precise Vulnerability Propagation Tracking

The LLM-Enhanced Component Dependency Evolution Graph (CDEG) framework is proposed, a hybrid representation that fuses structural features extracted by Tree-sitter with semantic embeddings derived from a fine-tuned LLM, effectively distinguishing backported patches from code refactoring.

Yuan-Jun Gao, Hong-Zhou Wu, Yu-Jia Luo et al. · 0 citations

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