most citedA Survey on Multi-Turn Interaction Capabilities of Large Language Models

2 citations · 2 across the 1 of their papers we have counts for

collaborators

5 papers

cs.AI2025

Reinforcement Learning Foundations for Deep Research Systems: A Survey

Wenjun Li, Zhi Chen, Jingru Lin +8

Deep research systems, agentic AI that solve complex, multi-step tasks by coordinating reasoning, search across the open web and user files, and tool use, are moving toward hierarc…

cs.IR2025

Benchmarking Retrieval-Augmented Multimodal Generation for Document Question Answering

Kuicai Dong, Yujing Chang, Shijie Huang +3

Document Visual Question Answering (DocVQA) faces dual challenges in processing lengthy multimodal documents (text, images, tables) and performing cross-modal reasoning. Current do…

cs.CL2025

Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger

Wenjun Li, Dexun Li, Kuicai Dong +6

Large language models (LLMs) have shown remarkable emergent capabilities, transforming the execution of functional tasks by leveraging external tools for complex problems that requ…

cs.CL20252 cited

A Survey on Multi-Turn Interaction Capabilities of Large Language Models

Chen Zhang, Xinyi Dai, Yaxiong Wu +4

Multi-turn interaction in the dialogue system research refers to a system's ability to maintain context across multiple dialogue turns, enabling it to generate coherent and context…

cs.IR2025

MMDocIR: Benchmarking Multimodal Retrieval for Long Documents

Kuicai Dong, Yujing Chang, Xin Deik Goh +3

Multimodal document retrieval aims to identify and retrieve various forms of multimodal content, such as figures, tables, charts, and layout information from extensive documents. D…