3 papers
cs.CV2026
AgroVG: A Large-Scale Multi-Source Benchmark for Agricultural Visual Grounding
Haocheng Li, Juepeng Zheng, Zenghao Yang +5
Visual grounding, the task of localizing objects described by natural-language expressions, is a foundational capability for agricultural AI systems, enabling applications such as…
cs.CL2025
MCTS-KBQA: Monte Carlo Tree Search with Information Gain Rewards for Knowledge Base Question Answering
Guanming Xiong, Haochen Li, Wen Zhao +2
This work investigates how to improve large language model (LLM)-based reasoning for knowledge base question answering (KBQA) via Monte Carlo Tree Search (MCTS). Applying MCTS to L…
cs.LG2025
EDGE: Efficient Data Selection for LLM Agents via Guideline Effectiveness
Yunxiao Zhang, Guanming Xiong, Haochen Li +1
Large Language Models (LLMs) have shown remarkable capabilities as AI agents. However, existing methods for enhancing LLM-agent abilities often lack a focus on data quality, leadin…