He Zhao

Unifying Stable Optimization and Reference Regularization in RLHF

LLM as an Algorithmist: Enhancing Anomaly Detectors via Programmatic Synthesis

Imitating the Truth: Attention-aware Truth-Guided Enhancement for Hallucination Mitigation in Large Vision-Language Models

Rényi Neural Processes

LLM Meeting Decision Trees on Tabular Data

FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking

DRL: Decomposed Representation Learning for Tabular Anomaly Detection

ProtoLLM: Training and Example-free LLMs for Few-shot Tabular Learning

Enhancing Near OOD Detection in Prompt Learning: Maximum Gains, Minimal Costs

Rényi Neural Processes

Neural Topic Modeling with Large Language Models in the Loop