Baotian Hu

Is On-Policy Data always the Best Choice for Direct Preference Optimization-Based LM Alignment?

KaLM-Embedding-V2: Superior Training Techniques and Data Inspire A Versatile Embedding Model

LycheeDecode: Accelerating Long-Context LLM Inference via Hybrid-Head Sparse Decoding

Fine-Grained Mixture of Experts for Medical Multimodal Learning

Uni-DPO: A Unified Paradigm for Dynamic Preference Optimization of LLMs

VIPO-R1: Cultivating Video Reasoning in MLLMs via Verifier-Guided Iterative Policy Optimization

PrecogUI: Proactive GUI Agents via Pre-cognitive Simulation and Experience Retrieval

SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection

In-Context Learning State Vector with Inner and Momentum Optimization

LMEye: An Interactive Perception Network for Large Language Models