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cs.AI2026

SAGE: A Quantitative Evaluation of Socialized Evolution in Agent Ecosystems

Linyue Pan, Yaoming Zhu, Lin Qiu +2

Self-improving language agents are typically evaluated in isolation: an agent attempts a task, receives feedback, and iteratively refines its own behavior. Yet agents increasingly…

cs.AI2026

OmniDiagram: Advancing Unified Diagram Code Generation via Visual Interrogation Reward

Haoyue Yang, Xuanle Zhao, Xuexin Liu +2

The paradigm of programmable diagram generation is evolving rapidly, playing a crucial role in structured visualization. However, most existing studies are confined to a narrow ran…

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

CATArena: Evaluating Evolutionary Capabilities of Code Agents via Iterative Tournaments

Lingyue Fu, Xin Ding, Linyue Pan +9

Current evaluation for Large Language Model (LLM) code agents predominantly focus on generating functional code in single-turn scenarios, which fails to evaluate the agent's capabi…

cs.AI2025

OIBench: Benchmarking Strong Reasoning Models with Olympiad in Informatics

Yaoming Zhu, Junxin Wang, Yiyang Li +8

As models become increasingly sophisticated, conventional algorithm benchmarks are increasingly saturated, underscoring the need for more challenging benchmarks to guide future imp…