PPaperPicks

Wei Wang

University of California, Los Angeles, Department of Computer Science, Los Angeles, CA, USA

44 papers at tracked venues · 29 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Beyond Sentence-level Labels: Integrating Conversational Context and Personal Experience for Natural Emotional Expression
  2. Self-Guided Diffusion Model for Accelerating Computational Fluid Dynamics
  3. Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought Reasoning
  4. Towards Fine-Grained and Multi-Granular Contrastive Language-Speech Pre-training
  5. Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation
  6. Don't Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models
  7. Flow Field Reconstruction with Sensor Placement Policy Learning
  8. GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation
  9. How Do Large Language Models Perform on PDE Discovery: A Coarse-to-fine Perspective
  10. Inferring from Logits: Exploring Best Practices for Decoding-Free Generative Candidate Selection
  11. Interspeech 2025 URGENT Speech Enhancement Challenge
  12. Lessons Learned from the URGENT 2024 Speech Enhancement Challenge
  13. Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction
  14. MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design
  15. MetamatBench: Integrating Heterogeneous Data, Computational Tools, and Visual Interface for Metamaterial Discovery
  16. Mixture of In-Context Prompters for Tabular PFNs
  17. Neural Network Pruning for Invariance Learning
  18. OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles
  19. Protein Large Language Models: A Comprehensive Survey
  20. Ranking and Selection of Bias Words for Contextual Bias Speech Recognition
  21. Rethink GraphODE Generalization within Coupled Dynamical System
  22. Symmetry-Preserving Conformer Ensemble Networks for Molecular Representation Learning
  23. Time-IMM: A Dataset and Benchmark for Irregular Multimodal Multivariate Time Series
  24. A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery
  25. Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems
  26. Data Science Tasks Implemented with Scripts versus GUI-Based Workflows: The Good, the Bad, and the Ugly
  27. Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach
  28. Enhancing Large Vision Language Models with Self-Training on Image Comprehension
  29. Event Detection from Social Media for Epidemic Prediction
  30. GraphVis: Boosting LLMs with Visual Knowledge Graph Integration
  31. Improving Event Definition Following For Zero-Shot Event Detection
  32. IterAlign: Iterative Constitutional Alignment of Large Language Models
  33. Large Language Models Can Be Contextual Privacy Protection Learners
  34. Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks
  35. MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways
  36. MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering
  37. Mitigating Bias for Question Answering Models by Tracking Bias Influence
  38. Non-Euclidean Mixture Model for Social Network Embedding
  39. Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling
  40. PlayBest: Professional Basketball Player Behavior Synthesis via Planning with Diffusion
  41. SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness
  42. STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models
  43. SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
  44. The PGNSC Benchmark: How Do We Predict Where Information Spreads?