PPaperPicks

Zhixuan Chu

18 papers at tracked venues · 14 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Perplexity-Aware Data Scaling Law: Perplexity Landscapes Predict Performance for Continual Pre-training
  2. Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation Framework
  3. Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics
  4. Heuristic-Induced Multimodal Risk Distribution Jailbreak Attack for Multimodal Large Language Models
  5. Mitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent Framework
  6. Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models
  7. TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
  8. Understanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary
  9. Causal Interventional Prediction System for Robust and Explainable Effect Forecasting
    CIKM 2024 · Zhixuan Chu
  10. EasyTPP: Towards Open Benchmarking Temporal Point Processes
  11. Intelligent Agents with LLM-based Process Automation
  12. Invariant Graph Learning for Causal Effect Estimation
  13. LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs
  14. Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting
  15. Self-Para-Consistency: Improving Reasoning Tasks at Low Cost for Large Language Models
  16. Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction
    AAAI 2024 · Zhixuan Chu
  17. Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
  18. VMFTransformer: An Angle-Preserving and Auto-Scaling Machine for Multi-Horizon Probabilistic Forecasting