PPaperPicks

Dacheng Tao

Nanyang Technological University, Singapore

149 papers at tracked venues · 132 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0001-7225-5449 ↗Google Scholar ↗

Venues

NeurIPS ×30ACL ×27ICML ×21ICLR ×16AAAI ×13CVPR ×8EMNLP ×7ICCV ×7ACM MM ×6ECCV ×2IJCAI ×2SIGKDD ×2AAMAS ×1ECAI ×1ICDE ×1ICDM ×1ICRA ×1NAACL ×1UAI ×1WWW ×1

Frequent coauthors

Shi Fu
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Qihuang Zhong
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Shengchao Hu
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Yikun Wang
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Yuchen Wu
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Qingyu Lu
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Zixuan Hu
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Wenke Huang
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Hongling Zheng
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Wenbin Wang
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Qixin Zhang
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Huanjin Yao
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Papers

  1. AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization
    AAAI 2026 ·
    Jingyi Liao
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  2. Bridging the Tokenizer Gap: Semantics and Distribution-aware Knowledge Transfer for Unbiased Cross-Tokenizer Distillation
    AAAI 2026 ·
    Huazheng Wang
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  3. CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing
    AAAI 2026 ·
    Yiyang Gu
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  4. Controllable Contamination Detection for Reliable LLM Evaluation with Statistical Guarantees
    ACL 2026 ·
    Zheng Zhang
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  5. Distillation Traps and Guards: A Calibration Knob for LLM Distillability
    ACL 2026 ·
    Weixiao Zhan
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  6. Erasing Without Remembering: Implicit Knowledge Forgetting in Large Language Models
    ACL 2026 ·
    Huazheng Wang
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  7. Free-Form Scene Editor: Enabling Multi-Round Object Manipulation Like in a 3D Engine
    AAAI 2026 ·
    Xincheng Shuai
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  8. GeometryZero: Advancing Geometry Solving via Group Contrastive Policy Optimization
    ACL 2026 ·
    Yikun Wang
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  9. Lightning Fast Caching-based Parallel Denoising Prediction for Accelerating Talking Head Generation
    AAAI 2026 ·
    Jianzhi Long
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  10. O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning
    ACL 2026 ·
    Haotian Luo
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  11. Offline Behavioral Data Selection
    SIGKDD 2026 ·
    Shiye Lei
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  12. Powering Verifiable Learning via Automated Evolutionary Data Synthesis
    ACL 2026 ·
    He Du
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  13. Reason-KE++: Aligning the Process, Not Just the Outcome, for Faithful LLM Knowledge Editing
    ACL 2026 ·
    Yuchen Wu
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  14. Reasoning-Guided Exploration for Online DPO
    ACL 2026 ·
    Zetian Hu
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  15. RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-Agents
    ACL 2026 ·
    Jize Wang
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  16. SAFER: A Controllable Safeguard for LLMs against Backdoor Attacks
    ACL 2026 ·
    Zirui Hu
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  17. SEAD: A Surrogate-free Label-only Membership Inference Attack against Pre-trained LLMs with Semantic-Aware Density
    ACL 2026 ·
    Biao Yi
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  18. SRD: Reinforcement-Learned Semantic Perturbation for Backdoor Defense in VLMs
    AAAI 2026 ·
    Shuhan Xu
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  19. The Bitter Lesson of Diffusion Language Models for Agentic Workflows: A Comprehensive Reality Check
    ACL 2026 ·
    Qingyu Lu
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  20. Time-Frequency Token Advantage Clipping for Training Efficient Large Reasoning Model
    AAAI 2026 ·
    Rong Bao
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  21. A Statistical Approach for Controlled Training Data Detection
    ICLR 2025 ·
    Zirui Hu
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  22. A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops
    ICLR 2025 ·
    Shi Fu
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  23. Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization
    NeurIPS 2025 ·
    Haotian Luo
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  24. AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video Understanding
    NeurIPS 2025 ·
    Zhucun Xue
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  25. Adaptive Defense against Harmful Fine-Tuning for Large Language Models via Bayesian Data Scheduler
    NeurIPS 2025 ·
    Zixuan Hu
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  26. AiDE-Q: Synthetic Labeled Datasets Can Enhance Learning Models for Quantum Property Estimation
    NeurIPS 2025 ·
    Xinbiao Wang
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  27. Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
    NeurIPS 2025 ·
    Jifeng Hu
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  28. AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration
    ICML 2025 ·
    Wenhao Sun
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  29. Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning
    ICML 2025 ·
    Wenke Huang
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  30. CFinBench: A Comprehensive Chinese Financial Benchmark for Large Language Models
    NAACL 2025 ·
    Ying Nie
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  31. Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection
    ICLR 2025 ·
    Ziqing Fan
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  32. Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning
    NeurIPS 2025 ·
    Kongcheng Zhang
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  33. CopyrightShield: Enhancing Diffusion Model Security Against Copyright Infringement Attacks
    ICCV 2025 ·
    Zhixiang Guo
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  34. D2GS: Dense Depth Regularization for LiDAR-free Urban Scene Reconstruction
    NeurIPS 2025 ·
    Kejing Xia
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  35. Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making
    ICML 2025 ·
    Hongling Zheng
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  36. Detoxifying Large Language Models via Autoregressive Reward Guided Representation Editing
    NeurIPS 2025 ·
    Yisong Xiao
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  37. Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models
    AAAI 2025 ·
    Wenbin Wang
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  38. Dynamic Neural Fortresses: An Adaptive Shield for Model Extraction Defense
    ICLR 2025 ·
    Siyu Luan
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  39. Dynamic Parallel Tree Search for Efficient LLM Reasoning
    ACL 2025 ·
    Yifu Ding
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  40. ECLR'25: 2nd Workshop on Efficient Computing Under Limited Resources: Visual Computing
    ICCV 2025 ·
    Jinyang Guo
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  41. ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models
    ACL 2025 ·
    Xuxu Liu
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  42. Edit Once, Update Everywhere: A Simple Framework for Cross-Lingual Knowledge Synchronization in LLMs
    ACL 2025 ·
    Yuchen Wu
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  43. Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives
    NeurIPS 2025 ·
    Qixin Zhang
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  44. Empowering Large Language Models for Time Series Forecasting with Patterns and Semantics
    ICDM 2025 ·
    Jialiang Tang
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  45. Energy-based Backdoor Defense Against Federated Graph Learning
    ICLR 2025 ·
    Guancheng Wan
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  46. Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding
    ACL 2025 ·
    Keqin Peng
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  47. FreDF: Learning to Forecast in the Frequency Domain
    ICLR 2025 ·
    Hao Wang
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  48. Free-Form Motion Control: Controlling the 6D Poses of Camera and Objects in Video Generation
    ICCV 2025 ·
    Xincheng Shuai
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  49. Harnessing Text-to-Image Diffusion Models for Point Cloud Self-Supervised Learning
    ICCV 2025 ·
    Yiyang Chen
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  50. Human-Imperceptible, Machine-Recognizable Images
    IJCAI 2025 ·
    Fusheng Hao
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  51. ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks
    ICML 2025 ·
    Zhiyao Ren
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  52. Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning
    AAAI 2025 ·
    Tianle Xia
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  53. KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance
    ACL 2025 ·
    Qihuang Zhong
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  54. LLM Data Selection and Utilization via Dynamic Bi-level Optimization
    ICML 2025 ·
    Yang Yu
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  55. Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning
    ICML 2025 ·
    Wenke Huang
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  56. Learning system dynamics without forgetting
    ICLR 2025 ·
    Xikun Zhang
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  57. LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs
    CVPR 2025 ·
    Zixuan Hu
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  58. MMReason: An Open-Ended Multi-Modal Multi-Step Reasoning Benchmark for MLLMs Toward AGI
    ICCV 2025 ·
    Huanjin Yao
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  59. Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer
    ICML 2025 ·
    Yilun Kong
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  60. Merging on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging
    NeurIPS 2025 ·
    Anke Tang
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  61. MetAdv: A Unified and Interactive Adversarial Testing Platform for Autonomous Driving
    ACM MM 2025 ·
    Aishan Liu
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  62. Modeling All Response Surfaces in One for Conditional Search Spaces
    AAAI 2025 ·
    Jiaxing Li
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  63. Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search
    NeurIPS 2025 ·
    Huanjin Yao
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  64. Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints
    ICML 2025 ·
    Qixin Zhang
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  65. Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency
    ICLR 2025 ·
    Qixin Zhang
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  66. Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning
    ICML 2025 ·
    Guozheng Ma
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  67. Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition
    CVPR 2025 ·
    Yang Chen
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  68. NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models
    ICLR 2025 ·
    Zheng Yi Ho
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  69. On Geometry-Enhanced Parameter-Efficient Fine-Tuning for 3D Scene Segmentation
    NeurIPS 2025 ·
    Liyao Tang
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  70. Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation
    ICLR 2025 ·
    Yongxian Wei
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  71. Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation
    NeurIPS 2025 ·
    Yibo Wang
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  72. Prompt Tuning with Diffusion for Few-Shot Pre-trained Policy Generalization
    AAMAS 2025 ·
    Shengchao Hu
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  73. R1-ShareVL: Incentivizing Reasoning Capabilities of Multimodal Large Language Models via Share-GRPO
    NeurIPS 2025 ·
    Huanjin Yao
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  74. R1-VL: Learning to Reason with Multimodal Large Language Models via Step-Wise Group Relative Policy Optimization
    ICCV 2025 ·
    Jingyi Zhang
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  75. Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models
    EMNLP 2025 ·
    Zonghao Ying
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  76. Rethink Sparse Signals for Pose-Guided Text-to-Image Generation
    ICCV 2025 ·
    Wenjie Xuan
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  77. Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG
    ICML 2025 ·
    Wenbin Wang
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  78. Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift
    CVPR 2025 ·
    Siyuan Liang
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  79. Robust Knowledge Editing via Explicit Reasoning Chains for Distractor-Resilient Multi-Hop QA
    EMNLP 2025 ·
    Yuchen Wu
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  80. Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied Environments
    EMNLP 2025 ·
    Qingyu Lu
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  81. SEGA: Shaping Semantic Geometry for Robust Hashing under Noisy Supervision
    NeurIPS 2025 ·
    Yiyang Gu
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  82. SPAZER: Spatial-Semantic Progressive Reasoning Agent for Zero-shot 3D Visual Grounding
    NeurIPS 2025 ·
    Zhao Jin
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  83. Safety Reasoning with Guidelines
    ICML 2025 ·
    Haoyu Wang
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  84. SeRL: Self-play Reinforcement Learning for Large Language Models with Limited Data
    NeurIPS 2025 ·
    Wenkai Fang
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  85. Self-Verification Provably Prevents Model Collapse in Recursive Synthetic Training
    NeurIPS 2025 ·
    Shi Fu
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  86. SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks (Extended Abstract)
    ICDE 2025 ·
    Weigang Lu
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  87. Supervised Optimism Correction: Be Confident When LLMs Are Sure
    ACL 2025 ·
    Junjie Zhang
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  88. T2V-OptJail: Discrete Prompt Optimization for Text-to-Video Jailbreak Attacks
    NeurIPS 2025 ·
    Jiayang Liu
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  89. Tackling Continual Offline RL through Selective Weights Activation on Aligned Spaces
    NeurIPS 2025 ·
    Jifeng Hu
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  90. The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking
    ICML 2025 ·
    Yuchun Miao
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  91. UltraVideo: High-Quality UHD Video Dataset with Comprehensive Captions
    NeurIPS 2025 ·
    Zhucun Xue
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  92. VORTA: Efficient Video Diffusion via Routing Sparse Attention
    NeurIPS 2025 ·
    Wenhao Sun
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  93. Value-Guided Decision Transformer: A Unified Reinforcement Learning Framework for Online and Offline Settings
    NeurIPS 2025 ·
    Hongling Zheng
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  94. VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search
    ACL 2025 ·
    Yikun Wang
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  95. A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs
    NeurIPS 2024 ·
    Yan Sun
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  96. AdaMerging: Adaptive Model Merging for Multi-Task Learning
    ICLR 2024 ·
    Enneng Yang
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  97. Adaptive Time-Stepping Schedules for Diffusion Models
    UAI 2024 ·
    Yuzhu Chen
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  98. Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases
    ICML 2024 ·
    Ziyi Zhang
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  99. Convergence of Bayesian Bilevel Optimization
    ICLR 2024 ·
    Shi Fu
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  100. DB-LLM: Accurate Dual-Binarization for Efficient LLMs
    ACL 2024 ·
    Hong Chen
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  101. Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization
    NeurIPS 2024 ·
    Hongling Zheng
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  102. Deep Graph Mating
    NeurIPS 2024 ·
    Yongcheng Jing
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  103. Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer
    ECAI 2024 ·
    Boan Liu
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  104. Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models
    ACL 2024 ·
    Qingyu Lu
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  105. Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning
    ECCV 2024 ·
    Wenke Huang
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  106. Free: Faster and Better Data-Free Meta-Learning
    CVPR 2024 ·
    Yongxian Wei
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  107. Generalization Analysis of Stochastic Weight Averaging with General Sampling
    ICML 2024 ·
    Peng Wang
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  108. GoMatching: A Simple Baseline for Video Text Spotting via Long and Short Term Matching
    NeurIPS 2024 ·
    Haibin He
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  109. Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks
    WWW 2024 ·
    Hao Liu
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  110. HandRefiner: Refining Malformed Hands in Generated Images by Diffusion-based Conditional Inpainting
    ACM MM 2024 ·
    Wenquan Lu
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  111. HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning
    ICML 2024 ·
    Shengchao Hu
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  112. InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling
    NeurIPS 2024 ·
    Yuchun Miao
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  113. Joint Input and Output Coordination for Class-Incremental Learning
    IJCAI 2024 ·
    Shuai Wang
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  114. LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit
    EMNLP 2024 ·
    Ruihao Gong
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  115. LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions
    ACM MM 2024 ·
    Tianyuan Zhang
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  116. Learning Multi-Agent Communication from Graph Modeling Perspective
    ICLR 2024 ·
    Shengchao Hu
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  117. Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL
    EMNLP 2024 ·
    Qihuang Zhong
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  118. Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis
    CVPR 2024 ·
    Yiyang Chen
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  119. MG-Net: Learn to Customize QAOA with Circuit Depth Awareness
    NeurIPS 2024 ·
    Yang Qian
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  120. Merging Multi-Task Models via Weight-Ensembling Mixture of Experts
    ICML 2024 ·
    Anke Tang
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  121. Multi-Granularity Hand Action Detection
    ACM MM 2024 ·
    Ting Zhe
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  122. Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models
    AAAI 2024 ·
    Zhiyao Ren
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  123. OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models
    ACL 2024 ·
    Shuai Wang
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  124. Offline Behavior Distillation
    NeurIPS 2024 ·
    Shiye Lei
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  125. One For All: Towards Training One Graph Model For All Classification Tasks
    ICLR 2024 ·
    Hao Liu
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  126. One More Step: A Versatile Plug-and-Play Module for Rectifying Diffusion Schedule Flaws and Enhancing Low-Frequency Controls
    CVPR 2024 ·
    Minghui Hu
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  127. Parameter-Efficient Multi-Task Model Fusion with Partial Linearization
    ICLR 2024 ·
    Anke Tang
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  128. Q-value Regularized Transformer for Offline Reinforcement Learning
    ICML 2024 ·
    Shengchao Hu
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  129. ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding
    ACL 2024 ·
    Qihuang Zhong
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  130. Representation Surgery for Multi-Task Model Merging
    ICML 2024 ·
    Enneng Yang
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  131. Revisiting Catastrophic Forgetting in Large Language Model Tuning
    EMNLP 2024 ·
    Hongyu Li
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  132. Revisiting Demonstration Selection Strategies in In-Context Learning
    ACL 2024 ·
    Keqin Peng
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  133. Revisiting Knowledge Distillation for Autoregressive Language Models
    ACL 2024 ·
    Qihuang Zhong
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  134. Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages
    ICLR 2024 ·
    Guozheng Ma
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  135. Self-Powered LLM Modality Expansion for Large Speech-Text Models
    EMNLP 2024 ·
    Tengfei Yu
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  136. Semantic-focused Patch Tokenizer with Multi-branch Mixer for Visual Place Recognition
    ICRA 2024 ·
    Zhenyu Xu
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  137. Sheared Backpropagation for Fine-Tuning Foundation Models
    CVPR 2024 ·
    Zhiyuan Yu
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  138. SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection
    AAAI 2024 ·
    Haimei Zhao
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  139. Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications
    ICML 2024 ·
    Zixuan Hu
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  140. Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation
    ACL 2024 ·
    Tengfei Yu
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  141. Synergy of Sight and Semantics: Visual Intention Understanding with CLIP
    ECCV 2024 ·
    Qu Yang
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  142. TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation
    AAAI 2024 ·
    Xin Lin
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  143. Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models
    ICML 2024 ·
    Yongxian Wei
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  144. Topology-aware Embedding Memory for Continual Learning on Expanding Networks
    SIGKDD 2024 ·
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  145. Towards Theoretical Understandings of Self-Consuming Generative Models
    ICML 2024 ·
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  146. Uncertainty Aware Learning for Language Model Alignment
    ACL 2024 ·
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  147. UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather
    CVPR 2024 ·
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  148. When ControlNet Meets Inexplicit Masks: A Case Study of ControlNet on its Contour-following Ability
    ACM MM 2024 ·
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  149. WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge
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