most citedWebExplorer: Explore and Evolve for Training Long-Horizon Web Agents

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

collaborators

7 papers

cs.RO2026

Humanoid Badminton: Learning Dynamic Racket Skills from Limited Human Motion Data

Jingzhi Cui, Zhexiong Wang, Bangjie Xu +9

High-speed racket sports provide a demanding testbed for humanoid robots, requiring time-critical decisions, precise striking, and dynamic whole-body coordination. In badminton, fa…

cs.AI2026

MiniMax Sparse Attention

Xunhao Lai, Weiqi Xu, Yufeng Yang +14

Ultra-long-context capability is becoming indispensable for frontier LLMs: agentic workflows, repository-scale code reasoning, and persistent memory all require the model to jointl…

cs.LG2026

MaxProof: Scaling Mathematical Proof with Generative-Verifier RL and Population-Level Test-Time Scaling

Jiacheng Chen, Xinyu Zhang, Shunkai Zhang +20

We present MaxProof, a population-level test-time scaling framework for competition-level mathematical proof in the MiniMax-M3 series. M3 first trains three proof-oriented capabili…

cs.AI2026

The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Aili Chen, Aonian Li, Baichuan Zhou +215

We introduce the MiniMax-M2 series, a family of Mixture-of-Experts language models built around the principle that mini activations can unleash maximum real-world intelligence. The…

cs.AI2026

DIVE: Scaling Diversity in Agentic Task Synthesis for Generalizable Tool Use

Aili Chen, Chi Zhang, Junteng Liu +11

Recent work synthesizes agentic tasks for post-training tool-using LLMs, yet robust generalization under shifts in tasks and toolsets remains an open challenge. We trace this britt…

cs.LG2026

HER: Human-like Reasoning and Reinforcement Learning for LLM Role-playing

Chengyu Du, Xintao Wang, Aili Chen +11

LLM role-playing, i.e., using LLMs to simulate specific personas, has emerged as a key capability in various applications, such as companionship, content creation and digital games…

cs.CL2025★ 1 cited

WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents

Junteng Liu, Yunji Li, Chi Zhang +12

The paradigm of Large Language Models (LLMs) has increasingly shifted toward agentic applications, where web browsing capabilities are fundamental for retrieving information from d…