Chao Qu

Uni-CoT: Towards Unified Chain-of-Thought Reasoning Across Text and Vision

The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward

Count Counts: Motivating Exploration in LLM Reasoning with Count-based Intrinsic Rewards

PUM-Net: Plastic Unified Memory Network with Associative Interaction for Long-Context State Space Models

Equivariant Asynchronous Diffusion: An Adaptive Denoising Schedule for Accelerated Molecular Conformation Generation

Asleep at the Wheel: Benchmarking the Inattention of Vision Language Models to Clinical Sleep Signals

Unleashing Flow Policies with Distributional Critics

Distributional Reinforcement Learning for Large Language Models

Equivariant Spherical Transformer for Efficient Molecular Modeling

Guiding Diffusion Models with Reinforcement Learning for Stable Molecule Generation

VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Atomic Thinking of LLMs: Decoupling and Exploring Mathematical Reasoning Abilities

Equivariant Masked Position Prediction for Efficient Molecular Representation

AutoCode4Math: Learning Autonomous Code Integration for Math LLMs

Refine Knowledge of Large Language Models via Adaptive Contrastive Learning

One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs

An Open Quantum Chemistry Property Database of 120 Kilo Molecules with 20 Million Conformers