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20232026
most citedMCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search

1 citations · 3 across the 16 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

Memory Is a Derivation: The Distributed-Evidence Paradox in Long-Term Agents

Hongjun Liu, Chen Zhao

Long-running LLM agents compress past interactions into persistent memories that may be reused as premises for later tasks. This creates a distinct derivation problem: whether the…

cs.AI2026

GUI vs. CLI: Execution Bottlenecks in Screen-Only and Skill-Mediated Computer-Use Agents

Xiao Zhou, Siyue Zhang, Yilun Zhao +4

Computer-use agents can execute software tasks through either graphical interfaces or programmatic command interfaces, but existing evaluations confound interaction modality with d…

cs.AI2026

A Survey of Multimodal Mathematical Reasoning: From Perception, Alignment to Reasoning

Tianyu Yang, Sihong Wu, Yilun Zhao +6

Multimodal Mathematical Reasoning (MMR) has recently attracted increasing attention for its capability to solve mathematical problems involving both textual and visual modalities.…

cs.AI2025

PuzzlePlex: Benchmarking Foundation Models on Reasoning and Planning with Puzzles

Yitao Long, Yuru Jiang, Hongjun Liu +6

This work investigates the reasoning and planning capabilities of foundation models and their scalability in complex, dynamic environments. We introduce PuzzlePlex, a benchmark des…

cs.AI2025★ 1 cited

Physics: Benchmarking Foundation Models on University-Level Physics Problem Solving

Kaiyue Feng, Yilun Zhao, Yixin Liu +4

We introduce Physics, a benchmark for evaluating foundation models on advanced physics problem solving. It contains 1034 annotated, open-ended problems from PhD-qualifying exams ac…