PPaperPicks

Ji Wu

Tsinghua University, Department of Electronic Engineering, Beijing, China

21 papers at tracked venues · 11 at CORE A* · active 20242025

Venues

Frequent coauthors

Papers

  1. Connector-S: A Survey of Connectors in Multi-modal Large Language Models
  2. Enhancing Elusive Clues in Knowledge Learning by Contrasting Attention of Language Models
  3. Enhancing Multi-task Learning Capability of Medical Generalist Foundation Model via Image-centric Multi-annotation Data
  4. Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving
  5. FACT: Mitigating Inconsistent Hallucinations in LLMs via Fact-Driven Alternating Code-Text Training
  6. Investigating and Mitigating Catastrophic Forgetting in Medical Knowledge Injection through Internal Knowledge Augmentation Learning
  7. MIPS: A Multimodal Infinite Polymer Sequence Pre-training Framework for Polymer Property Prediction
  8. MedM-VL: What Makes a Good Medical LVLM?
  9. Medical Contrastive Learning of Positive and Negative Mentions
  10. Reliable and Diverse Evaluation of LLM Medical Knowledge Mastery
  11. The 1st SpeechWellness Challenge: Detecting Suicide Risk Among Adolescents
  12. 3D Human Pose Estimation via Non-causal Retentive Networks
  13. Bayesian Example Selection Improves In-Context Learning for Speech, Text and Visual Modalities
  14. Co-occurrence is not Factual Association in Language Models
  15. Conditional Language Learning with Context
  16. GKGNet: Group K-Nearest Neighbor Based Graph Convolutional Network for Multi-label Image Recognition
  17. MultifacetEval: Multifaceted Evaluation to Probe LLMs in Mastering Medical Knowledge
  18. M³AV: A Multimodal, Multigenre, and Multipurpose Audio-Visual Academic Lecture Dataset
  19. Spontaneous Speech-Based Suicide Risk Detection Using Whisper and Large Language Models
  20. Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE
  21. UniFS: Universal Few-Shot Instance Perception with Point Representations