PPaperPicks

Haifeng Chen

58 papers at tracked venues · 39 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO2 Storage
  2. Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation
  3. DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router
  4. LOKA: Conflict-Aware LLM Knowledge Update with Adaptive Knowledge Memory
  5. Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation
  6. MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery
  7. Mind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language Models
  8. Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement
  9. Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs
  10. Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought Reasoning
  11. Uncertainty-Aware Test-Time Search for Optimization Problem Solving
  12. 4th Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM)
  13. AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment
  14. Chain-of-region: Visual Language Models Need Details for Diagram Analysis
  15. Correlation-aware Online Change Point Detection
  16. DISC: Dynamic Decomposition Improves LLM Inference Scaling
  17. Evidence-Based Out-of-Distribution Detection on Multi-Label Graphs
  18. Evolutionary Large Language Model for Automated Feature Transformation
  19. Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery
  20. Harnessing Vision Models for Time Series Analysis: A Survey
  21. Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection
  22. Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors
  23. Incident Diagnosing and Reporting System Based on Retrieval Augmented Large Language Model
  24. Incorporating Interactive User Feedback Through Precision Matrix Adjustments for High-Dimensional Anomaly Detection
  25. MixLLM: Dynamic Routing in Mixed Large Language Models
  26. Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting
  27. Multi-modal Time Series Analysis: A Tutorial and Survey
  28. Position Really Matters: Towards a Holistic Approach for Prompt Tuning
  29. SFS: Smarter Code Space Search improves LLM Inference Scaling
  30. SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search
  31. The 4th Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI)
  32. TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
  33. TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop
  34. Uncertainty Propagation on LLM Agent
  35. Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming
  36. Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content
  37. xTime: Extreme Event Prediction with Hierarchical Knowledge Distillation and Expert Fusion
  38. 3rd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI)
  39. 3rd Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM)
  40. A Survey on Detection of LLMs-Generated Content
  41. DALD: Improving Logits-based Detector without Logits from Black-box LLMs
  42. DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton
  43. DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text
  44. Distantly-Supervised Joint Extraction with Noise-Robust Learning
  45. Improving Multimodal Emotion Recognition by Leveraging Acoustic Adaptation and Visual Alignment
  46. InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration
  47. InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration
  48. Interpretable Imitation Learning with Dynamic Causal Relations
  49. Large Language Models Can Be Contextual Privacy Protection Learners
  50. MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems
  51. PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization
  52. POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning
  53. Parametric Augmentation for Time Series Contrastive Learning
  54. Pruning as a Domain-specific LLM Extractor
  55. Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows
  56. Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments
  57. Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks
  58. Uncertainty Quantification for In-Context Learning of Large Language Models