1 citations · 1 across the 11 of their papers we have counts for
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From Implicit Exploration to Structured Reasoning: Leveraging Guideline and Refinement for LLMs
Jiaxiang Chen, Zhuo Wang, Mingxi Zou +4
Large language models (LLMs) have advanced general-purpose reasoning, showing strong performance across diverse tasks. However, existing methods often rely on implicit exploration,…
SlimRAG: Retrieval without Graphs via Entity-Aware Context Selection
Jiale Zhang, Jiaxiang Chen, Zhucong Li +5
Retrieval-Augmented Generation (RAG) enhances language models by incorporating external knowledge at inference time. However, graph-based RAG systems often suffer from structural o…
FinHEAR: Human Expertise and Adaptive Risk-Aware Temporal Reasoning for Financial Decision-Making
Jiaxiang Chen, Mingxi Zou, Zhuo Wang +4
Financial decision-making presents unique challenges for language models, demanding temporal reasoning, adaptive risk assessment, and responsiveness to dynamic events. While large…
Guideline Forest: Retrieval-Augmented Reasoning with Branching Experience-Induced Guidelines
Jiaxiang Chen, Zhuo Wang, Mingxi Zou +2
Retrieval-augmented generation (RAG) has been widely adopted to ground large language models (LLMs) in external knowledge, yet it remains largely underexplored for improving reason…
AI2Agent: An End-to-End Framework for Deploying AI Projects as Autonomous Agents
Jiaxiang Chen, Jingwei Shi, Lei Gan +6
As AI technology advances, it is driving innovation across industries, increasing the demand for scalable AI project deployment. However, deployment remains a critical challenge du…