Chao Zhang

MLE-Smith: Scaling MLE Tasks with Automated Multi-agent Pipeline

scREBOUND: An Efficient Design of single-cell Foundation Model with Batch Representation

Precise Attribute Intensity Control in Large Language Models via Targeted Representation Editing

Towards Better Instruction Following Retrieval Models

Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models

Efficient Evolutionary Search Over Chemical Space with Large Language Models

Matryoshka Pilot: Learning to Drive Black-Box LLMs with LLMs

Language Model Uncertainty Quantification with Attention Chain

Ensembles of Low-Rank Expert Adapters

LLM-Augmented Chemical Synthesis and Design Decision Programs

Self-Rewarding PPO: Aligning Large Language Models with Demonstrations Only

SiDyP: Simplex Diffusion with Dynamic Prior for Denoising Llama-Generated Labels

LoRC: Low-Rank Compression for LLMs KV Cache with a Progressive Compression Strategy

Martryoshka: Learning to Drive Black-Box LLMs with LLMs

Enhancing Audio--Language Models through Self--Supervised Post--Training with Text--Audio Pairs

Two-Step Offline Preference-Based Reinforcement Learning with Constrained Actions