PPaperPicks

Tianyi Zhou

University of Maryland, College Park, MD, USA

67 papers at tracked venues · 48 at CORE A* · active 2024–2026

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Venues

ACL ×15ICLR ×11ICML ×8EMNLP ×7NeurIPS ×6NAACL ×4CVPR ×3AAAI ×2ECCV ×2IROS ×2AAMAS ×1CIKM ×1EACL ×1ICCV ×1ICRA ×1SIGKDD ×1WWW ×1

Frequent coauthors

Ming Li
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Lichang Chen
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Yue Huang
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Yucheng Yang
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Maharshi Gor
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Yijun Liang
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Dang Nguyen
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Xirui Li
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Ziyue Li
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Zhiwei Li
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Yuanhao Ban
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Chunxu Zhang
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Papers

  1. AI, Take the Wheel: What Drives Delegation and Trust in Human-Computer Cooperative Question Answering?
    ACL 2026 ·
    Maharshi Gor
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  2. Can LLMs Estimate Student Struggles? Human-AI Difficulty Alignment with Proficiency Simulation for Item Difficulty Prediction
    ACL 2026 ·
    Ming Li
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  3. FedMerge: Federated Model Merging for Personalization
    AAAI 2026 ·
    Shutong Chen
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  4. Optimizing Length Compression in Large Reasoning Models
    ACL 2026 ·
    Zhengxiang Cheng
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  5. Schoenfeld's Anatomy of Mathematical Reasoning by Language Models
    ACL 2026 ·
    Ming Li
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  6. Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs
    EACL 2026 ·
    Paiheng Xu
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  7. ATLAS: Agent Tuning via Learning Critical Steps
    ACL 2025 ·
    Zhixun Chen
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  8. BenTo: Benchmark Reduction with In-Context Transferability
    ICLR 2025 ·
    Hongyu Zhao
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  9. ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness
    NeurIPS 2025 ·
    Yijun Liang
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  10. Confidence-Controlled Exploration: Efficient Sparse-Reward Policy Learning for Robot Navigation
    IROS 2025 ·
    Bhrij Patel
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  11. DataGen: Unified Synthetic Dataset Generation via Large Language Models
    ICLR 2025 ·
    Yue Huang
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  12. Diffusion Curriculum: Synthetic-to-Real Data Curriculum via Image-Guided Diffusion
    ICCV 2025 ·
    Yijun Liang
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  13. Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models
    NeurIPS 2025 ·
    Sohyun An
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  14. Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
    NAACL 2025 ·
    Xiyao Wang
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  15. Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion
    CVPR 2025 ·
    Jiuhai Chen
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  16. From Lists to Emojis: How Format Bias Affects Model Alignment
    ACL 2025 ·
    Xuanchang Zhang
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  17. GUI Agents: A Survey
    ACL 2025 ·
    Dang Nguyen
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  18. Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era
    CIKM 2025 ·
    Dawei Li
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  19. Is Your Multimodal Language Model Oversensitive to Safe Queries?
    ICLR 2025 ·
    Xirui Li
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  20. Many-Objective Multi-Solution Transport
    ICLR 2025 ·
    Ziyue Li
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  21. Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning
    ACL 2025 ·
    Ming Li
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  22. Multiple LLM Agents Debate for Equitable Cultural Alignment
    ACL 2025 ·
    Dayeon Ki
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  23. OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities
    ICLR 2025 ·
    Lichang Chen
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  24. Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach
    AAAI 2025 ·
    Zhiwei Li
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  25. Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization
    ICML 2025 ·
    Yucheng Yang
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  26. Quantifying and Modeling Driving Styles in Trajectory Forecasting
    IROS 2025 ·
    Laura Zheng
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  27. R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts
    ICML 2025 ·
    Zhongyang Li
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  28. RuleR: Improving LLM Controllability by Rule-based Data Recycling
    NAACL 2025 ·
    Ming Li
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  29. The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise
    ICLR 2025 ·
    Yuanhao Ban
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  30. Tilted Sharpness-Aware Minimization
    ICML 2025 ·
    Tian Li
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  31. Understanding the Thinking Process of Reasoning Models: A Perspective from Schoenfeld's Episode Theory
    EMNLP 2025 ·
    Ming Li
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  32. VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video Understanding
    NeurIPS 2025 ·
    Zongxia Li
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  33. WALL-E: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents
    NeurIPS 2025 ·
    Siyu Zhou
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  34. Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency
    EMNLP 2025 ·
    Chenlong Wang
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  35. Your Mixture-of-Experts LLM Is Secretly an Embedding Model for Free
    ICLR 2025 ·
    Ziyue Li
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  36. 1+1\textgreater2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators?
    EMNLP 2024 ·
    Yue Huang
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  37. Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation
    ICLR 2024 ·
    Qiang He
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  38. Algorithm and Hardness for Dynamic Attention Maintenance in Large Language Models
    ICML 2024 ·
    Jan van den Brand
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  39. AlpaGasus: Training a Better Alpaca with Fewer Data
    ICLR 2024 ·
    Lichang Chen
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  40. An End-to-End Submodular Framework for Data-Efficient In-Context Learning
    NAACL 2024 ·
    Lilly Kumari
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  41. AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models
    EMNLP 2024 ·
    Xiyang Wu
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  42. Automatic Curriculum for Unsupervised Reinforcement Learning
    AAMAS 2024 ·
    Yucheng Yang
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  43. Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements
    ACL 2024 ·
    Ming Li
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  44. Do Text-Free Diffusion Models Learn Discriminative Visual Representations?
    ECCV 2024 ·
    Soumik Mukhopadhyay
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  45. Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA
    EMNLP 2024 ·
    Maharshi Gor
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  46. DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLMs Jailbreakers
    EMNLP 2024 ·
    Xirui Li
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  47. Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization
    NeurIPS 2024 ·
    Mucong Ding
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  48. Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld
    CVPR 2024 ·
    Yijun Yang
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  49. Federated Recommendation with Additive Personalization
    ICLR 2024 ·
    Zhiwei Li
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  50. From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning
    NAACL 2024 ·
    Ming Li
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  51. GPFedRec: Graph-Guided Personalization for Federated Recommendation
    SIGKDD 2024 ·
    Chunxu Zhang
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  52. Hallusionbench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models
    CVPR 2024 ·
    Tianrui Guan
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  53. InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models
    ICML 2024 ·
    Lichang Chen
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  54. Meta-Task Prompting Elicits Embeddings from Large Language Models
    ACL 2024 ·
    Yibin Lei
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  55. Multi-Objective Linguistic Control of Large Language Models
    ACL 2024 ·
    Dang Nguyen
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  56. ODIN: Disentangled Reward Mitigates Hacking in RLHF
    ICML 2024 ·
    Lichang Chen
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  57. One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts
    ICML 2024 ·
    Ruochen Wang
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  58. Position: TrustLLM: Trustworthiness in Large Language Models
    ICML 2024 ·
    Yue Huang
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  59. Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever
    ACL 2024 ·
    Tao Shen
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  60. Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning
    ACL 2024 ·
    Ming Li
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  61. SpecHub: Provable Acceleration to Multi-Draft Speculative Decoding
    EMNLP 2024 ·
    Ryan Sun
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  62. Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning
    ACL 2024 ·
    Ming Li
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  63. Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning
    ICLR 2024 ·
    Yucheng Yang
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  64. Task-Driven Domain-Agnostic Learning with Information Bottleneck for Autonomous Steering
    ICRA 2024 ·
    Yu Shen
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  65. The Closeness of In-Context Learning and Weight Shifting for Softmax Regression
    NeurIPS 2024 ·
    Shuai Li
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  66. Understanding the Impact of Negative Prompts: When and How Do They Take Effect?
    ECCV 2024 ·
    Yuanhao Ban
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  67. When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions
    WWW 2024 ·
    Chunxu Zhang
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