most citedLongCat-Flash Technical Report

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SE2026

Framework and Benchmark for Code-Driven Agentic Testing in Web Development

Bin Hong, Zhenchao Zhang, Jiyuan He +2

End-to-end GUI testing is essential for verifying web applications, yet existing evaluations rely on predefined checklists and are confined to the data and frameworks of web genera…

cs.AI2026

Meta-Task: Turning Terminal Task Synthesis into a Terminal Task for Scalable Agent Training

Zhihong Pan, Jiyuan He, Kai Zhang +5

Training terminal agents at scale requires diverse, verifiable terminal tasks and high-quality interaction trajectories, yet acquiring such data remains a significant challenge. Ex…

cs.AI2026

ICAE-Bench: Evaluating Coding Agents as Interactive Project Builders

Zhongyuan Peng, Dan Huang, Chuyu Zhang +8

The recent emergence of vibe-coding workflows is changing what coding agents are expected to do. Instead of merely completing code under fully specified instructions, agents are in…

cs.AI2026

LongCat-Flash-Thinking-2601 Technical Report

Meituan LongCat Team, Anchun Gui, Bei Li +162

We introduce LongCat-Flash-Thinking-2601, a 560-billion-parameter open-source Mixture-of-Experts (MoE) reasoning model with superior agentic reasoning capability. LongCat-Flash-Thi…

cs.AI2025

CogAtom: From Cognitive Atoms to Olympiad-level Mathematical Reasoning in Large Language Models

Zhuofan Chen, Jiyuan He, Yichi Zhang +4

Mathematical reasoning poses significant challenges for Large Language Models (LLMs) due to its demand for multi-step reasoning and abstract conceptual integration. While recent te…

cs.CL20251 cited

LongCat-Flash Technical Report

Meituan LongCat Team, Bayan, Bei Li +179

We introduce LongCat-Flash, a 560-billion-parameter Mixture-of-Experts (MoE) language model designed for both computational efficiency and advanced agentic capabilities. Stemming f…