PPaperPicks

Furu Wei

71 papers at tracked venues · 57 at CORE A* · active 2024–2026

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Venues

ACL ×23ICLR ×15NeurIPS ×10EMNLP ×7NAACL ×5AAAI ×3ICCV ×2ICML ×2CVPR ×1ECCV ×1IROS ×1SIGIR ×1

Frequent coauthors

Xun Wu
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Haonan Chen
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Daixuan Cheng
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Yutao Sun
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Liang Wang
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Yuxian Gu
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Haoyu Liu
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Jingye Chen
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Lingjie Jiang
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Yuxuan Liu
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Tianyi Tang
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Dawei Zhu
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Papers

  1. Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs
    ACL 2026 ·
    Qibin Wang
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  2. MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings
    ACL 2026 ·
    Haonan Chen
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  3. Reasoning with Exploration: An Entropy Perspective
    AAAI 2026 ·
    Daixuan Cheng
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  4. Rectified Sparse Attention for Efficient Long-Sequence Generation
    ACL 2026 ·
    Yutao Sun
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  5. Shorten After You're Right: Lazy Length Penalties for Reasoning RL
    ACL 2026 ·
    Danlong Yuan
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  6. Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts
    ACL 2026 ·
    Di Zhang
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  7. Two Pathways to Truthfulness: On the Intrinsic Encoding of LLM Hallucinations
    ACL 2026 ·
    Wen Luo
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  8. VFA: Empowering Multilingual MLLMs via Vision-Free Adaptation
    ACL 2026 ·
    Yixia Li
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  9. ARLON: Boosting Diffusion Transformers with Autoregressive Models for Long Video Generation
    ICLR 2025 ·
    Zongyi Li
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  10. Assessing Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks
    ACL 2025 ·
    Fangru Lin
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  11. Autoregressive Speech Synthesis without Vector Quantization
    ACL 2025 ·
    Lingwei Meng
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  12. Bitnet.cpp: Efficient Edge Inference for Ternary LLMs
    ACL 2025 ·
    Jinheng Wang
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  13. Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective
    ACL 2025 ·
    Yiyao Yu
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  14. Chain-of-Retrieval Augmented Generation
    NeurIPS 2025 ·
    Liang Wang
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  15. Context-DPO: Aligning Language Models for Context-Faithfulness
    ACL 2025 ·
    Baolong Bi
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  16. Data Selection via Optimal Control for Language Models
    ICLR 2025 ·
    Yuxian Gu
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  17. Differential Transformer
    ICLR 2025 ·
    Tianzhu Ye
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  18. Examining False Positives under Inference Scaling for Mathematical Reasoning
    EMNLP 2025 ·
    Yu Wang
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  19. GeAR: Generation Augmented Retrieval
    ACL 2025 ·
    Haoyu Liu
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  20. Generative Representational Instruction Tuning
    ICLR 2025 ·
    Niklas Muennighoff
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  21. Imagine While Reasoning in Space: Multimodal Visualization-of-Thought
    ICML 2025 ·
    Chengzu Li
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  22. K-Level Reasoning: Establishing Higher Order Beliefs in Large Language Models for Strategic Reasoning
    NAACL 2025 ·
    Yadong Zhang
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  23. Little Giants: Synthesizing High-Quality Embedding Data at Scale
    NAACL 2025 ·
    Haonan Chen
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  24. MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark
    ACL 2025 ·
    Qihao Zhao
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  25. Model as a Game: On Numerical and Spatial Consistency for Generative Games
    ICCV 2025 ·
    Jingye Chen
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  26. NL2Lean: Translating Natural Language into Lean 4 through Multi-Aspect Reinforcement Learning
    EMNLP 2025 ·
    Yue Fang
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  27. PEACE: Empowering Geologic Map Holistic Understanding with MLLMs
    CVPR 2025 ·
    Yangyu Huang
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  28. Preference Optimization for Reasoning with Pseudo Feedback
    ICLR 2025 ·
    Fangkai Jiao
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  29. Rethinking DPO-Style Diffusion Aligning Frameworks
    ICCV 2025 ·
    Xun Wu
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  30. Reward Reasoning Models
    NeurIPS 2025 ·
    Jiaxin Guo
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  31. Scaling Optimal LR Across Token Horizons
    ICLR 2025 ·
    Johan Bjorck
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  32. Self-Boosting Large Language Models with Synthetic Preference Data
    ICLR 2025 ·
    Qingxiu Dong
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  33. Semi-Parametric Retrieval via Binary Bag-of-Tokens Index
    ICLR 2025 ·
    Jiawei Zhou
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  34. ShifCon: Enhancing Non-Dominant Language Capabilities with a Shift-based Multilingual Contrastive Framework
    ACL 2025 ·
    Hengyuan Zhang
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  35. Textual Aesthetics in Large Language Models
    EMNLP 2025 ·
    Lingjie Jiang
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  36. Think Only When You Need with Large Hybrid-Reasoning Models
    NeurIPS 2025 ·
    Lingjie Jiang
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  37. Towards Thinking-Optimal Scaling of Test-Time Compute for LLM Reasoning
    NeurIPS 2025 ·
    Wenkai Yang
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  38. mmE5: Improving Multimodal Multilingual Embeddings via High-quality Synthetic Data
    ACL 2025 ·
    Haonan Chen
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  39. Adapting Large Language Models via Reading Comprehension
    ICLR 2024 ·
    Daixuan Cheng
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  40. Boosting Text-to-Video Generative Model with MLLMs Feedback
    NeurIPS 2024 ·
    Xun Wu
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  41. Chain-of-Dictionary Prompting Elicits Translation in Large Language Models
    EMNLP 2024 ·
    Hongyuan Lu
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  42. Fine-Tuning LLaMA for Multi-Stage Text Retrieval
    SIGIR 2024 ·
    Xueguang Ma
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  43. Grounding Multimodal Large Language Models to the World
    ICLR 2024 ·
    Zhiliang Peng
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  44. HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition
    ACL 2024 ·
    Yuxuan Liu
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  45. Improving Text Embeddings with Large Language Models
    ACL 2024 ·
    Liang Wang
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  46. In-context Autoencoder for Context Compression in a Large Language Model
    ICLR 2024 ·
    Tao Ge
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  47. Instruction Pre-Training: Language Models are Supervised Multitask Learners
    EMNLP 2024 ·
    Daixuan Cheng
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  48. KOSMOS-E : Learning to Follow Instruction for Robotic Grasping
    IROS 2024 ·
    Zhi Wang
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  49. Kosmos-G: Generating Images in Context with Multimodal Large Language Models
    ICLR 2024 ·
    Xichen Pan
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  50. Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models
    ACL 2024 ·
    Tianyi Tang
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  51. Learning to Rank in Generative Retrieval
    AAAI 2024 ·
    Yongqi Li
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  52. LongEmbed: Extending Embedding Models for Long Context Retrieval
    EMNLP 2024 ·
    Dawei Zhu
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  53. Low-code LLM: Graphical User Interface over Large Language Models
    NAACL 2024 ·
    Yuzhe Cai
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  54. MathScale: Scaling Instruction Tuning for Mathematical Reasoning
    ICML 2024 ·
    Zhengyang Tang
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  55. Mind's Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models
    NeurIPS 2024 ·
    Wenshan Wu
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  56. MiniLLM: Knowledge Distillation of Large Language Models
    ICLR 2024 ·
    Yuxian Gu
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  57. Mixture of LoRA Experts
    ICLR 2024 ·
    Xun Wu
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  58. Multi-Head Mixture-of-Experts
    NeurIPS 2024 ·
    Xun Wu
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  59. Multimodal Large Language Models Make Text-to-Image Generative Models Align Better
    NeurIPS 2024 ·
    Xun Wu
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  60. Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References
    NAACL 2024 ·
    Tianyi Tang
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  61. PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training
    ICLR 2024 ·
    Dawei Zhu
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  62. ResLoRA: Identity Residual Mapping in Low-Rank Adaption
    ACL 2024 ·
    Shuhua Shi
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  63. Respond in my Language: Mitigating Language Inconsistency in Response Generation based on Large Language Models
    ACL 2024 ·
    Liang Zhang
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  64. SCALE: Synergized Collaboration of Asymmetric Language Translation Engines
    ACL 2024 ·
    Xin Cheng
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  65. Se²: Sequential Example Selection for In-Context Learning
    ACL 2024 ·
    Haoyu Liu
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  66. Text Diffusion with Reinforced Conditioning
    AAAI 2024 ·
    Yuxuan Liu
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  67. TextDiffuser-2: Unleashing the Power of Language Models for Text Rendering
    ECCV 2024 ·
    Jingye Chen
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  68. Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration
    NAACL 2024 ·
    Zhenhailong Wang
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  69. WavLLM: Towards Robust and Adaptive Speech Large Language Model
    EMNLP 2024 ·
    Shujie Hu
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  70. You Only Cache Once: Decoder-Decoder Architectures for Language Models
    NeurIPS 2024 ·
    Yutao Sun
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  71. xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
    NeurIPS 2024 ·
    Xin Cheng
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