PPaperPicks

Shijin Wang

iFLYTEK AI Research (Hebei), Langfang, China

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

Venues

Frequent coauthors

Papers

  1. BLADE: A Behavior-Level Data Augmentation Framework with Dual Fusion Modeling for Multi-Behavior Sequential Recommendation
  2. CARE-Bench: A Benchmark of Diverse Client Simulations Guided by Expert Principles for Evaluating LLMs in Psychological Counseling
  3. CPT-Agent: A Cognitive Process Theory-driven Framework for Student Simulation in Writing Development
  4. From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs
  5. Good Ranks Follow Good Answers: Unsupervised Answer-Driven Reranking for Multimodal Document QA
  6. Graph Reasoning Paradigm: Structured and Symbolic Reasoning with Topology-Aware Reinforcement Learning for Large Language Models
  7. Re³: Relevance & Recency Retrieval for Mitigating Temporal Hallucination
  8. A Closed-Form Solution for Fast and Reliable Adaptive Testing
  9. Chain of Strategy Optimization Makes Large Language Models Better Emotional Supporter
  10. Chart2Code53: A Large-Scale Diverse and Complex Dataset for Enhancing Chart-to-Code Generation
  11. CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective
  12. ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis
  13. CursorCore: Assist Programming through Aligning Anything
  14. Enhancing Chain-of-Thought Reasoning via Neuron Activation Differential Analysis
  15. Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving
  16. Evaluating Large Language Models through Role-Guide and Self-Reflection: A Comparative Study
  17. FACT: Mitigating Inconsistent Hallucinations in LLMs via Fact-Driven Alternating Code-Text Training
  18. From Objectives to Questions: A Planning-based Framework for Educational Mathematical Question Generation
  19. How Does Sequence Modeling Architecture Influence Base Capabilities of Pre-trained Language Models? Exploring Key Architecture Design Principles to Avoid Base Capabilities Degradation
  20. Investigating and Mitigating Catastrophic Forgetting in Medical Knowledge Injection through Internal Knowledge Augmentation Learning
  21. MMATH: A Multilingual Benchmark for Mathematical Reasoning
  22. Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model
  23. Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering
  24. Position: AI Evaluation Should Learn from How We Test Humans
  25. am-ELO: A Stable Framework for Arena-based LLM Evaluation
  26. Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing
  27. CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework
  28. Computerized Adaptive Testing via Collaborative Ranking
  29. Graph-based Student Knowledge Profile for Online Intelligent Education
  30. Item-Difficulty-Aware Learning Path Recommendation: From a Real Walking Perspective
  31. JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models
  32. Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process
  33. Optimizing Chinese Lexical Simplification Across Word Types: A Hybrid Approach
  34. SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models
  35. SparkRA: A Retrieval-Augmented Knowledge Service System Based on Spark Large Language Model
  36. Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation
  37. Unified Uncertainty Estimation for Cognitive Diagnosis Models