Chengjin Xu

JudgeAgent: Knowledge-wise and Dynamic LLM Evaluation with Agent-as-Interviewer

SELECT2REASON: Efficient Instruction-Tuning Data Selection for Long-CoT Reasoning

GraphSearch: An Agentic Deep Searching Workflow for Graph Retrieval-Augmented Generation

RETuning: Upgrading Inference-Time Scaling for Stock Movement Prediction with Large Language Models

Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval

ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding

Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training

SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning

ChartBench: A Benchmark for Complex Visual Reasoning in Charts

RuleRAG: Rule-Guided Retrieval-Augmented Generation with Language Models for Question Answering