Yizhou Sun

Full Professor@University of California, Los Angeles·美国·OpenReview

研究方向

LLM · AI for science · AI for Chip Design · neural symbolic reasoning · graph deep learning · graph minining; network mining; computational social science

Yizhou Sun

Beyond Length: Quantifying Long-Range Information for Long-Context LLM Pretraining Data

Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE

FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation

SE-Diff: Simulator and Experience Enhanced Diffusion Model for Comprehensive ECG Generation

GTD: Dynamic Generation of Multi LLM Agents Communication Topologies with Graph Diffusion Models

TIDAL: A Temporal Causal Diffusion Framework for Visualizing Knee Osteoarthritis Treatment Outcomes

A Multimodal LLM Approach for Visual Question Answering on Multiparametric 3D Brain MRI

DoMiNO: Down-scaling Molecular Dynamics with Neural Graph Ordinary Differential Equations

Do LLMs Really Understand Code? A Semantic Benchmark with Automated Question Generation and Evaluation

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

CoRGI: GNNs with Convolutional Residual Global Interaction for Lagrangian Simulation

H2MT: Semantic Hierarchy-Aware Hierarchical Memory Transformer

How Post-Training Reshapes LLMs: A Mechanistic View on Knowledge, Truthfulness, Refusal, and Confidence

Symmetry-Preserving Conformer Ensemble Networks for Molecular Representation Learning

Agree to Disagree? A Meta-Evaluation of LLM Misgendering

Rethink GraphODE Generalization within Coupled Dynamical System

Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models

Mixture of In-Context Prompters for Tabular PFNs

VideoPhy: Evaluating Physical Commonsense for Video Generation

Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark

Optimized Multi-Token Joint Decoding With Auxiliary Model for LLM Inference

Contradiction Retrieval via Contrastive Learning with Sparsity

Flow Field Reconstruction with Sensor Placement Policy Learning

Contradiction Retrieval Via Sparse-Aware Sentence Embedding

QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search

Q* Agent: Optimizing Language Agents with Q-Guided Exploration

Physics-Informed Self-Guided Diffusion Model for High-Fidelity Simulations

Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs

Joint Modeling of Spatial and Temporal Multiscales in Molecular Dynamics

Forecasting Needles in a Time Series Haystack

Inferring from Logits: Exploring Best Practices for Decoding-Free Generative Candidate Selection