Kuikun Liu

Achieving Olympia-Level Geometry Large Language Model Agent via Complexity Boosting Reinforcement Learning

RIG: Synergizing Reasoning and Imagination in End-to-End Generalist Policy

LATTE: Learner-Adaptive Teacher-Forced Reflection for Advancing Deep Search

LONG-HORIZON REASONING AGENT FOR OLYMPIAD- LEVEL MATHEMATICAL PROBLEM SOLVING

The Imitation Game: Turing Machine Imitator is Length Generalizable Reasoner

Semi-off-Policy Reinforcement Learning for Vision-Language Slow-Thinking Reasoning

Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning

MindSearch: Mimicking Human Minds Elicits Deep AI Searcher