PPaperPicks

Wei Cheng

NEC Laboratories America, Princeton, USA

39 papers at tracked venues · 26 at CORE A* · active 2024–2026

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Venues

ICLR ×8NeurIPS ×7EMNLP ×4NAACL ×4ACL ×3AAAI ×2EACL ×2SIGKDD ×2CVPR ×1ICDM ×1ICML ×1IJCAI ×1VLDB ×1WSDM ×1WWW ×1

Frequent coauthors

Jonathan Light
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Xu Zheng
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Xianjun Yang
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Cong Zeng
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Fali Wang
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Minghao Guo
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Haoyue Bai
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Wangyang Ying
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Ruomeng Ding
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Renliang Sun
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Linlin Yu
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Xue Li
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Papers

  1. DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router
    EACL 2026 ·
    Minghao Guo
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  2. Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation
    WWW 2026 ·
    Haoyue Bai
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  3. Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement
    EACL 2026 ·
    Wangyang Ying
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  4. SkillGen: Learning Domain Skills for In-Context Sequential Decision Making
    AAAI 2026 ·
    Ruomeng Ding
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  5. Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought Reasoning
    ACL 2026 ·
    Renliang Sun
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  6. Uncertainty-Aware Test-Time Search for Optimization Problem Solving
    ACL 2026 ·
    Linlin Yu
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  7. Chain-of-region: Visual Language Models Need Details for Diagram Analysis
    ICLR 2025 ·
    Xue Li
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  8. DISC: Dynamic Decomposition Improves LLM Inference Scaling
    NeurIPS 2025 ·
    Jonathan Light
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  9. F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI
    ICLR 2025 ·
    Xu Zheng
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  10. Harnessing Vision Models for Time Series Analysis: A Survey
    IJCAI 2025 ·
    Jingchao Ni
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  11. Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection
    NeurIPS 2025 ·
    Cong Zeng
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  12. Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors
    ICLR 2025 ·
    Tianchun Wang
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  13. MixLLM: Dynamic Routing in Mixed Large Language Models
    NAACL 2025 ·
    Xinyuan Wang
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  14. Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting
    NeurIPS 2025 ·
    ChengAo Shen
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  15. Position Really Matters: Towards a Holistic Approach for Prompt Tuning
    NAACL 2025 ·
    Xianjun Yang
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  16. SFS: Smarter Code Space Search improves LLM Inference Scaling
    ICLR 2025 ·
    Jonathan Light
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  17. SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search
    NeurIPS 2025 ·
    Dong Li
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  18. Strategist: Self-improvement of LLM Decision Making via Bi-Level Tree Search
    ICLR 2025 ·
    Jonathan Light
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  19. TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
    AAAI 2025 ·
    Geon Lee
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  20. TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop
    NeurIPS 2025 ·
    Yushan Jiang
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  21. Uncertainty Propagation on LLM Agent
    ACL 2025 ·
    Qiwei Zhao
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  22. Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content
    CVPR 2025 ·
    Haoyue Bai
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  23. xTime: Extreme Event Prediction with Hierarchical Knowledge Distillation and Expert Fusion
    ICDM 2025 ·
    Quan Li
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  24. A Survey on Detection of LLMs-Generated Content
    EMNLP 2024 ·
    Xianjun Yang
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  25. DALD: Improving Logits-based Detector without Logits from Black-box LLMs
    NeurIPS 2024 ·
    Cong Zeng
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  26. DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton
    ICML 2024 ·
    Yiyou Sun
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  27. DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text
    ICLR 2024 ·
    Xianjun Yang
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  28. InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration
    EMNLP 2024 ·
    Fali Wang
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  29. InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration
    VLDB 2024 ·
    Fali Wang
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  30. Interpretable Imitation Learning with Dynamic Causal Relations
    WSDM 2024 ·
    Tianxiang Zhao
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  31. Large Language Models Can Be Contextual Privacy Protection Learners
    EMNLP 2024 ·
    Yijia Xiao
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  32. Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization
    SIGKDD 2024 ·
    Haohui Wang
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  33. POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning
    SIGKDD 2024 ·
    Junxiang Wang
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  34. Parametric Augmentation for Time Series Contrastive Learning
    ICLR 2024 ·
    Xu Zheng
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  35. Protecting Your LLMs with Information Bottleneck
    NeurIPS 2024 ·
    Zichuan Liu
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  36. Pruning as a Domain-specific LLM Extractor
    NAACL 2024 ·
    Nan Zhang
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  37. Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks
    ICLR 2024 ·
    Xu Zheng
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  38. TrustAgent: Towards Safe and Trustworthy LLM-based Agents
    EMNLP 2024 ·
    Wenyue Hua
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  39. Uncertainty Quantification for In-Context Learning of Large Language Models
    NAACL 2024 ·
    Chen Ling
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