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Meituan Technology Team
Meituan Technology Team
Jan 29, 2026 · Artificial Intelligence

How LongCat‑Flash‑Thinking‑2601 Achieves Real‑World Generalization for Agents

LongCat‑Flash‑Thinking‑2601, a 560‑billion‑parameter MoE model, combines environment expansion, multi‑environment RL, systematic noise training, a heavy‑thinking reasoning mode, and Zigzag sparse attention to deliver strong benchmark performance and robust real‑world agent capabilities.

Environment ExpansionLarge Language ModelNoise Robustness
0 likes · 14 min read
How LongCat‑Flash‑Thinking‑2601 Achieves Real‑World Generalization for Agents
NewBeeNLP
NewBeeNLP
Mar 13, 2024 · Artificial Intelligence

Can LLMs Clean Noisy Graphs? Introducing GraphEdit for Robust Structure Learning

GraphEdit leverages large language models and a lightweight edge predictor to remove noisy connections and uncover hidden node dependencies, achieving state‑of‑the‑art performance on benchmark graph datasets such as Cora, Citeseer, and PubMed, while demonstrating strong robustness to noise and limited supervision.

Edge PredictionGraph Structure LearningNoise Robustness
0 likes · 17 min read
Can LLMs Clean Noisy Graphs? Introducing GraphEdit for Robust Structure Learning