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Tianlong Chen

University of North Carolina at Chapel Hill, Department of Computer Science, Chapel Hill, NC, USA

89 papers at tracked venues · 64 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0001-7774-8197 ↗Google Scholar ↗Homepage ↗

Venues

ACL ×15EMNLP ×14AAAI ×13ICML ×10NeurIPS ×10ICLR ×8NAACL ×5CVPR ×3SIGKDD ×3ECCV ×2CIKM ×1EACL ×1ICCV ×1SDM ×1WSDM ×1WWW ×1

Frequent coauthors

Zhen Tan
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Guibin Zhang
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Xinyu Zhao
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Rana Muhammad Shahroz
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Song Wang
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Jinhao Duan
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Yifan Li
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Sukwon Yun
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Tiejin Chen
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Zhiyuan Wang
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Yihua Zhang
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Huaizhi Qu
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Papers

  1. COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees
    AAAI 2026 ·
    Zhiyuan Wang
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  2. Demystify the Role of Memory in Machine Learning Engineering Agents
    ACL 2026 ·
    Xinyu Zhao
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  3. Dialogue is Better Than Monologue: Instructing Meidcal LLMs via Strategic Conversations
    EACL 2026 ·
    Zijie Liu
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  4. Explaining the 'Unexplainable' Large Language Models
    WSDM 2026 ·
    Zhen Tan
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  5. Learning Flexible Large Multimodal Models with Arbitrary Modality Combinations
    ACL 2026 ·
    Xinyu Zhao
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  6. Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution Reconstruction
    ACL 2026 ·
    Xu Shen
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  7. Model Editing as a Double-Edged Sword: Steering Agent Behavior Toward Beneficence or Harm
    AAAI 2026 ·
    Baixiang Huang
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  8. OR-R1: Automating Modeling and Solving of Operations Research Optimization Problem via Test-Time Reinforcement Learning
    AAAI 2026 ·
    Zezhen Ding
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  9. ReasonRec: A Reasoning-Augmented Multimodal Agent for Unified Recommendation
    ACL 2026 ·
    Yihua Zhang
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  10. The Adaptive Interrogator: Detecting Trojan LLMs in Multi-Agent Systems via Evolved Conversational Strategies
    ACL 2026 ·
    Rana Muhammad Shahroz Khan
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  11. Vulnerability-Aware Robust Multimodal Adversarial Training
    AAAI 2026 ·
    Junrui Zhang
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  12. <tt>BetaConform</tt>: Efficient MAP Estimation of LLM Ensemble Judgment Performance with Prior Transfer
    NeurIPS 2025 ·
    Huaizhi Qu
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  13. A Survey on Trustworthy LLM Agents: Threats and Countermeasures
    SIGKDD 2025 ·
    Miao Yu
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  14. Adapt-∞: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection
    ICLR 2025 ·
    Adyasha Maharana
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  15. Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design
    NAACL 2025 ·
    Mohan Zhang
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  16. Agents Under Siege: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks
    ACL 2025 ·
    Rana Muhammad Shahroz
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  17. AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction
    EMNLP 2025 ·
    Song Wang
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  18. BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment
    NAACL 2025 ·
    Sizhe Wang
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  19. Bag of Tricks for Sparse Mixture-of-Experts: A Benchmark Across Reasoning, Efficiency, and Safety
    EMNLP 2025 ·
    Mufan Qiu
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  20. Bit-Flip Error Resilience in LLMs: A Comprehensive Analysis and Defense Framework
    EMNLP 2025 ·
    Yuhang Chen
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  21. BrainMAP: Learning Multiple Activation Pathways in Brain Networks
    AAAI 2025 ·
    Song Wang
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  22. BrainMoE: Cognition Joint Embedding via Mixture-of-Expert Towards Robust Brain Foundation Model
    NeurIPS 2025 ·
    Ziquan Wei
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  23. Breaking the Resource Monopoly from Industries: Sustainable and Reliable LLM Serving by Recycling Outdated and Resource-Constrained GPUs
    AAAI 2025 · Tianlong Chen
  24. Composable Interventions for Language Models
    ICLR 2025 ·
    Arinbjörn Kolbeinsson
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  25. Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
    ICLR 2025 ·
    Guibin Zhang
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  26. DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis
    AAAI 2025 ·
    Pan Wang
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  27. EQA-RM: A Generative Embodied Reward Model with Test-time Scaling
    EMNLP 2025 ·
    Yuhang Chen
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  28. Evaluating topological fitness of human brain-inspired sub-circuits in Echo State Networks
    AAAI 2025 ·
    Bach V. Nguyen
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  29. FIER: Fine-Grained and Efficient KV Cache Retrieval for Long-context LLM Inference
    EMNLP 2025 ·
    Dongwei Wang
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  30. G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
    ICML 2025 ·
    Guibin Zhang
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  31. GRNFormer: A Biologically-Guided Framework for Integrating Gene Regulatory Networks into RNA Foundation Models
    ACL 2025 ·
    Mufan Qiu
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  32. Glider: Global and Local Instruction-Driven Expert Router
    EMNLP 2025 ·
    Pingzhi Li
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  33. Graph Sparsification via Mixture of Graphs
    ICLR 2025 ·
    Guibin Zhang
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  34. GraphRCG: Self-Conditioned Graph Generation
    CIKM 2025 ·
    Song Wang
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  35. GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing
    NAACL 2025 ·
    Jinhao Duan
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  36. I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts
    ICML 2025 ·
    Jiayi Xin
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  37. In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents
    ACL 2025 ·
    Zhen Tan
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  38. IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios
    NeurIPS 2025 ·
    Yifan Li
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  39. Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense
    NAACL 2025 ·
    Yang Ouyang
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  40. Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models
    AAAI 2025 ·
    Kyle Cox
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  41. MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models
    EMNLP 2025 ·
    Shrey Pandit
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  42. MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems
    SIGKDD 2025 ·
    Lichi Li
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  43. Modalities Contribute Unequally: Enhancing Medical Multi-modal Learning through Adaptive Modality Token Re-balancing
    ICML 2025 ·
    Jie Peng
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  44. Mozart: Modularized and Efficient MoE Training on 3.5D Wafer-Scale Chiplet Architectures
    NeurIPS 2025 ·
    Shuqing Luo
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  45. Multi-Agent Debate for LLM Judges with Adaptive Stability Detection
    NeurIPS 2025 ·
    Tianyu Hu
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  46. ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion
    EMNLP 2025 ·
    Rana Muhammad Shahroz
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  47. Occult: Optimizing Collaborative Communications across Experts for Accelerated Parallel MoE Training and Inference
    ICML 2025 ·
    Shuqing Luo
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  48. Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features
    SIGKDD 2025 ·
    Sukwon Yun
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  49. One Token Embedding Is Enough to Deadlock Your Large Reasoning Model
    NeurIPS 2025 ·
    Mohan Zhang
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  50. PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
    ICLR 2025 ·
    Rana Muhammad Shahroz
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  51. Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility
    ICLR 2025 ·
    Martin Kuo
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  52. Protecting Privacy against Membership Inference Attack with LLM Fine-tuning through Flatness
    SDM 2025 ·
    Tiejin Chen
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  53. SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention
    ACL 2025 ·
    Chengshuai Zhao
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  54. SConU: Selective Conformal Uncertainty in Large Language Models
    ACL 2025 ·
    Zhiyuan Wang
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  55. Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study
    AAAI 2025 ·
    Zhangheng Li
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  56. Spatial Coordinates as a Cell Language: A Multi-Sentence Framework for Imaging Mass Cytometry Analysis
    ACL 2025 ·
    Chi-Jane Chen
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  57. Task-Aware Resolution Optimization for Visual Large Language Models
    EMNLP 2025 ·
    Weiqing Luo
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  58. The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit
    ACL 2025 ·
    Huixue Zhou
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  59. Towards Stabilized and Efficient Diffusion Transformers Through Long-Skip-Connections With Spectral Constraints
    ICCV 2025 ·
    Guanjie Chen
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  60. Tuning-Free Accountable Intervention for LLM Deployment - a Metacognitive Approach
    AAAI 2025 ·
    Zhen Tan
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  61. UQ-Merge: Uncertainty Guided Multimodal Large Language Model Merging
    ACL 2025 ·
    Huaizhi Qu
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  62. Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges
    ACL 2025 ·
    Tiejin Chen
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  63. Vision Language Model Helps Private Information De-Identification in Vision Data
    ACL 2025 ·
    Tiejin Chen
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  64. Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective
    AAAI 2025 ·
    Can Jin
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  65. Window Token Concatenation for Efficient Visual Large Language Models
    CVPR 2025 ·
    Yifan Li
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  66. Cross-Lingual Multi-Hop Knowledge Editing
    EMNLP 2024 ·
    Aditi Khandelwal
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  67. DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature
    EMNLP 2024 ·
    Dawei Li
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  68. Evolution-Inspired Loss Functions for Protein Representation Learning
    ICML 2024 ·
    Chengyue Gong
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  69. FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping
    EMNLP 2024 ·
    Ajay Jaiswal
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  70. Facial Affective Behavior Analysis with Instruction Tuning
    ECCV 2024 ·
    Yifan Li
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  71. Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts
    NeurIPS 2024 ·
    Sukwon Yun
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  72. GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning
    NeurIPS 2024 ·
    Guibin Zhang
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  73. GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations
    NeurIPS 2024 ·
    Jinhao Duan
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  74. Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models
    EMNLP 2024 ·
    Zhen Tan
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  75. Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning
    EMNLP 2024 ·
    Abhinav Bandari
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  76. Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy
    ICLR 2024 ·
    Pingzhi Li
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  77. Mew: Multiplexed Immunofluorescence Image Analysis Through an Efficient Multiplex Network
    ECCV 2024 ·
    Sukwon Yun
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  78. MoE-RBench: Towards Building Reliable Language Models with Sparse Mixture-of-Experts
    ICML 2024 ·
    Guanjie Chen
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  79. Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild
    NeurIPS 2024 ·
    Xinyu Zhao
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  80. Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision
    CVPR 2024 ·
    Xin Juan
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  81. Position: TrustLLM: Trustworthiness in Large Language Models
    ICML 2024 ·
    Yue Huang
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  82. ReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models
    NAACL 2024 ·
    Jinhao Duan
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  83. Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
    ICML 2024 ·
    Yihua Zhang
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  84. Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once
    ICML 2024 ·
    Zhangheng Li
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  85. Sparse MoE with Language Guided Routing for Multilingual Machine Translation
    ICLR 2024 ·
    Xinyu Zhao
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  86. Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention
    AAAI 2024 ·
    Zhen Tan
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  87. TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models
    CVPR 2024 ·
    Yushi Huang
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  88. Thought Graph: Generating Thought Process for Biological Reasoning
    WWW 2024 ·
    Chi-Yang Hsu
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  89. Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
    ICML 2024 ·
    Guibin Zhang
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