Fang Wu

Multiplayer Nash Preference Optimization

CellForge: Agentic Design of Virtual Cell Models

The Invisible Leash? Why RLVR May or May Not Escape Its Origin

PoseX: AI Defeats Physics-based Methods on Protein Ligand Cross-Docking

VeriWeb: Verifiable Long-Chain Web Benchmark for Agentic Information-Seeking

DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Tree-based Search

RiboPO: Preference Optimization for Structure- and Stability-Aware RNA Design

L^2M^3OF: A Large Language Multimodal Model for Metal-Organic Frameworks

BroRL: Scaling Reinforcement Learning via Broadened Exploration

Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards

Diagnose, Localize, Align: A Full-Stack Framework for Reliable LLM Multi-Agent Systems under Instruction Conflicts

Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving

The Agent's Marathon: Probing the Limits of Endurance in Long-Horizon Tasks

From Supervision to Exploration: What Does Protein Language Model Learn During Reinforcement Learning?

SymForce: Large Language Models as Symbolic Physics Engines for Molecular Conformation

SurfDesign: Effective Protein Design on Molecular Surfaces

Joint Design of Protein Surface and Backbone Using a Diffusion Bridge Model

Predicting mutational effects on protein binding from folding energy

Surface-based Peptide Design with Multi-modal Flow Matching

Dynamics-inspired Structure Hallucination for Protein-protein Interaction Modeling

Retrieval-Reasoning Large Language Model-based Synthetic Clinical Trial Generation