PPaperPicks

Bing Yin

38 papers at tracked venues · 22 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Binary-Gaussian: Compact and Progressive Representation for 3D Gaussian Segmentation
  2. Breaking Model Lock-in: Cost-Efficient Zero-Shot LLM Routing via a Universal Latent Space
  3. DeepPlanner: Scaling Planning Capability for Deep Research Agents via Advantage Shaping
  4. DocR1: Evidence Page-Guided GRPO for Multi-Page Document Understanding
  5. MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation
  6. Mitigating Lost in Multi-turn Conversation via Curriculum RL with Verifiable Accuracy and Abstention Rewards
  7. On-Policy Self-Distillation for Efficient Diffusion Language Models with Early-Stage Calibration
  8. READ: Real-time and Efficient Asynchronous Diffusion for Audio-driven Talking Head Generation
  9. Rethinking Popularity Bias in Collaborative Filtering via Analytical Vector Decomposition
  10. SessionIntentBench: A Multi-task Inter-session Intention-shift Modeling Benchmark for E-commerce Customer Behavior Understanding
  11. TransLLM: A Unified Multi-Task Large Language Model for Urban Transportation via Learnable Prompting
  12. Aligning Large Language Models with Implicit Preferences from User-Generated Content
  13. AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs
  14. Can Language Models Follow Multiple Turns of Entangled Instructions?
  15. Cross-modulated Attention Transformer for RGBT Tracking
  16. DORM: Preference Data Weights Optimization for Reward Modeling in LLM Alignment
  17. DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning
  18. EmotiveTalk: Expressive Talking Head Generation through Audio Information Decoupling and Emotional Video Diffusion
  19. Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training
  20. IHEval: Evaluating Language Models on Following the Instruction Hierarchy
  21. Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates
  22. LongLeader: A Comprehensive Leaderboard for Large Language Models in Long-context Scenarios
  23. M-LLM Based Video Frame Selection for Efficient Video Understanding
  24. UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations
  25. WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning
  26. 1DFormer: A Transformer Architecture Learning 1D Landmark Representations for Facial Landmark Tracking
  27. COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon
  28. Data Diversity Matters for Robust Instruction Tuning
  29. Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning
  30. Evolutionary Contrastive Distillation for Language Model Alignment
  31. Image as a Language: Revisiting Scene Text Recognition via Balanced, Unified and Synchronized Vision-Language Reasoning Network
  32. IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce
  33. Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark
  34. LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data
  35. MEMORYLLM: Towards Self-Updatable Large Language Models
  36. MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding
  37. NAMER: Non-autoregressive Modeling for Handwritten Mathematical Expression Recognition
  38. Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models