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20222026
most citedPandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization

29 citations · 49 across the 18 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

MatToolBench: Benchmarking Multimodal Agents in Real-World Materials Science Workflows

Mei Wu, Rui Xie, Runyu Zhang +6

Multimodal GUI agents have achieved impressive results on general software benchmarks, yet their ability to operate professional scientific software remains largely unexplored. In…

cs.CL2026

RecreationWorld: Scalable and Verifiable Environments for Hybrid Computer-Use Agents

Shuai Bai, Jiayong Deng, Sicheng Fan +30

Computer-use agents (CUAs) have advanced along two separate lines: graphical interaction and software development through code and the command line. Real digital work requires both…

stat.ML2026

Complex Problem Solving in Large Language Models: A Statistical Control Survey and Diagnostic Framework

Jiazhang Cai, Tao Wang, Ruidong Zhang +35

Complex problem solving (CPS) with large language models (LLMs) is often framed as a matter of stronger reasoning or longer generation. Yet early-step error amplification, prompt b…

cs.SE2026

AttnCompress: Dynamic Attention-Guided Trajectory Compression for Software Engineering Agents

Zhengran Zeng, Yixin Li, Rui Xie +2

The transition from human-centric assistance to Autonomous Software Engineering (ASE) agents has enabled the resolution of complex real-world SE tasks. However, the trial-and-error…

cs.LG2026

Qwen-CUA: Native Computer Use for (almost) Everything

Dunjie Lu, Shuai Bai, Tianyi Bai +42

Native computer use offers a general interface for agents to operate almost any software available to people, but requires long-horizon state tracking, large-scale interactive expe…