PPaperPicks

Qifan Wang

Meta AI, Menlo Park, CA, USA

67 papers at tracked venues · 44 at CORE A* · active 2024–2026

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Venues

ACL ×12EMNLP ×12ICLR ×9NeurIPS ×6NAACL ×5SIGIR ×4AAAI ×3CVPR ×2ECCV ×2ICCV ×2SIGKDD ×2WWW ×2ACM MM ×1AISTATS ×1CIKM ×1ECAI ×1ICML ×1IJCAI ×1

Frequent coauthors

Cheng Han
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Xinyu Lin
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Runjia Zeng
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Shihao Cai
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Yiyang Liu
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Taowen Wang
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Zhiyang Xu
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Mohammad Beigi
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Song Jiang
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Ying Mo
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Wentao Shi
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Fan Yao
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Papers

  1. Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking
    WWW 2026 ·
    Xinyu Lin
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  2. Chain-of-Search: Parameter-Efficient Reasoning for Zero-Shot Object Navigation
    AAAI 2026 ·
    Hanrui Chen
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  3. On-the-Fly VLA Adaptation via Test-Time Reinforcement Learning
    ACL 2026 ·
    Changyu Liu
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  4. Quantize What Counts: More for Keys, Less for Values
    ACL 2026 ·
    Mohsen Hariri
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  5. RecoWorld: Building Simulated Environments for Agentic Recommender Systems
    WWW 2026 ·
    Fei Liu
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  6. TROJail: Trajectory-Level Optimization for Multi-Turn Large Language Model Jailbreaks with Process Rewards
    ACL 2026 ·
    Xiqiao Xiong
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  7. Verifiable Reasoning for LLM-based Generative Recommendation
    SIGIR 2026 ·
    Xinyu Lin
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  8. 100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability?
    ACL 2025 ·
    Wang Yang
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  9. AR-RAG: Autoregressive Retrieval Augmentation for Image Generation
    NeurIPS 2025 ·
    Jingyuan Qi
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  10. Advantage-Guided Distillation for Preference Alignment in Small Language Models
    ICLR 2025 ·
    Shiping Gao
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  11. Agentic Feedback Loop Modeling Improves Recommendation and User Simulation
    SIGIR 2025 ·
    Shihao Cai
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  12. All You Need is One: Capsule Prompt Tuning with a Single Vector
    NeurIPS 2025 ·
    Yiyang Liu
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  13. Assistant-Guided Mitigation of Teacher Preference Bias in LLM-as-a-Judge
    EMNLP 2025 ·
    Zhuo Liu
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  14. CompCap: Improving Multimodal Large Language Models with Composite Captions
    ICCV 2025 ·
    Xiaohui Chen
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  15. CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG
    AAAI 2025 ·
    Boyi Deng
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  16. Dynamic Fisher-weighted Model Merging via Bayesian Optimization
    NAACL 2025 ·
    Sanwoo Lee
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  17. Error-driven Data-efficient Large Multimodal Model Tuning
    ACL 2025 ·
    Barry Menglong Yao
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  18. Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics
    ICCV 2025 ·
    Taowen Wang
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  19. FinHEAR: Human Expertise and Adaptive Risk-Aware Temporal Reasoning for Financial Decision-Making
    EMNLP 2025 ·
    Jiaxiang Chen
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  20. Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models
    EMNLP 2025 ·
    Haibo Wang
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  21. IDInit: A Universal and Stable Initialization Method for Neural Network Training
    ICLR 2025 ·
    Yu Pan
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  22. Inference Compute-Optimal Video Vision Language Models
    ACL 2025 ·
    Peiqi Wang
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  23. K-order Ranking Preference Optimization for Large Language Models
    ACL 2025 ·
    Shihao Cai
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  24. MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper
    EMNLP 2025 ·
    Runjia Zeng
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  25. Modality-Specialized Synergizers for Interleaved Vision-Language Generalists
    ICLR 2025 ·
    Zhiyang Xu
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  26. NEXUS-O: An Omni-Perceptive and -Interactive Model for Language, Audio, and Vision
    ACM MM 2025 ·
    Che Liu
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  27. On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond
    AISTATS 2025 ·
    Dun Zeng
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  28. Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation
    SIGKDD 2025 ·
    Jiang Zhang
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  29. Order-agnostic Identifier for Large Language Model-based Generative Recommendation
    SIGIR 2025 ·
    Xinyu Lin
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  30. Probabilistic Token Alignment for Large Language Model Fusion
    NeurIPS 2025 ·
    Runjia Zeng
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  31. Re-Imagining Multimodal Instruction Tuning: A Representation View
    ICLR 2025 ·
    Yiyang Liu
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  32. ReAlign: Structured Revision for Small Language Model Alignment
    EMNLP 2025 ·
    Ruijun Chen
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  33. STaR: Multi-Granular Spatio-Temporal Reasoning for Long-Form Dense Video Captioning
    ECAI 2025 ·
    Yihao Wu
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  34. Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories
    EMNLP 2025 ·
    Mohammad Beigi
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  35. Uncertainty Quantification for Multiple-Choice Questions is Just One-Token Deep
    CIKM 2025 ·
    Qingcheng Zeng
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  36. Visual Agents as Fast and Slow Thinkers
    ICLR 2025 ·
    Guangyan Sun
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  37. When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations
    ACL 2025 ·
    Huaizhi Ge
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  38. A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (Extended Abstract)
    IJCAI 2024 ·
    Song Jiang
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  39. AMD: Automatic Multi-step Distillation of Large-Scale Vision Models
    ECCV 2024 ·
    Cheng Han
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  40. C-ICL: Contrastive In-context Learning for Information Extraction
    EMNLP 2024 ·
    Ying Mo
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  41. Direct Multi-Turn Preference Optimization for Language Agents
    EMNLP 2024 ·
    Wentao Shi
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  42. EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction
    EMNLP 2024 ·
    Li Yang
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  43. FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
    ICLR 2024 ·
    Xiaotian Han
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  44. Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning?
    ICLR 2024 ·
    Cheng Han
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  45. HYDRA: Model Factorization Framework for Black-Box LLM Personalization
    NeurIPS 2024 ·
    Yuchen Zhuang
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  46. Image Translation as Diffusion Visual Programmers
    ICLR 2024 ·
    Cheng Han
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  47. InternalInspector I²: Robust Confidence Estimation in LLMs through Internal States
    EMNLP 2024 ·
    Mohammad Beigi
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  48. Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model
    CVPR 2024 ·
    Shraman Pramanick
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  49. LLM-Rec: Personalized Recommendation via Prompting Large Language Models
    NAACL 2024 ·
    Hanjia Lyu
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  50. LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models
    NAACL 2024 ·
    Chi Han
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  51. Large Language Models are Learnable Planners for Long-Term Recommendation
    SIGIR 2024 ·
    Wentao Shi
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  52. MART: Improving LLM Safety with Multi-round Automatic Red-Teaming
    NAACL 2024 ·
    Suyu Ge
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  53. MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning
    AAAI 2024 ·
    Ying Mo
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  54. Multimodal Instruction Tuning with Conditional Mixture of LoRA
    ACL 2024 ·
    Ying Shen
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  55. M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning
    EMNLP 2024 ·
    Taowen Wang
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  56. Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models
    ACL 2024 ·
    Zihao Lin
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  57. ProMotion: Prototypes as Motion Learners
    CVPR 2024 ·
    Yawen Lu
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  58. Prototypical Transformer As Unified Motion Learners
    ICML 2024 ·
    Cheng Han
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  59. RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models
    NAACL 2024 ·
    Song Jiang
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  60. Radiance Field Learners As UAV First-Person Viewers
    ECCV 2024 ·
    Liqi Yan
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  61. Representation Deficiency in Masked Language Modeling
    ICLR 2024 ·
    Yu Meng
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  62. Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism
    ACL 2024 ·
    Jiahao Liu
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  63. Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection
    EMNLP 2024 ·
    Moxin Li
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  64. Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms
    NeurIPS 2024 ·
    Fan Yao
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  65. User Welfare Optimization in Recommender Systems with Competing Content Creators
    SIGKDD 2024 ·
    Fan Yao
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  66. Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning
    ACL 2024 ·
    Zhiyang Xu
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  67. Visual Fourier Prompt Tuning
    NeurIPS 2024 ·
    Runjia Zeng
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