PPaperPicks

Xipeng Qiu

84 papers at tracked venues · 56 at CORE A* · active 2024–2026

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Venues

ACL ×31EMNLP ×21NeurIPS ×8ICLR ×7NAACL ×6ICML ×4AAAI ×3ACM MM ×1AISTATS ×1CVPR ×1ICCV ×1

Frequent coauthors

Zhangyue Yin
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Xiaoran Liu
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Mozhi Zhang
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Zhiyuan Zeng
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Siyin Wang
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Jie Yang
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Yuhang Zhou
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Xinghao Wang
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Jinlan Fu
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Junhao Shi
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Shihan Dou
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Pengyu Wang
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Papers

  1. ABC-Bench: Benchmarking Agentic Backend Coding in Real-World Development
    ACL 2026 ·
    Jie Yang
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  2. ARISE: An Adaptive Resolution-Aware Metric for Test-Time Scaling Evaluation in Large Reasoning Models
    ACL 2026 ·
    Zhangyue Yin
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  3. Efficient KL Divergence Estimation via Truncated Top-K Integration for Large Language Models
    ACL 2026 ·
    Xinyuan Wang
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  4. HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding
    ACL 2026 ·
    Haowei Zhang
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  5. How to Set the Learning Rate for Large-Scale Pre-training?
    ACL 2026 ·
    Yunhua Zhou
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  6. LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs
    AAAI 2026 ·
    Xiaoran Liu
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  7. Sparse-dLLM: Accelerating Diffusion LLMs with Dynamic Cache Eviction
    AAAI 2026 ·
    Yuerong Song
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  8. VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training
    ACL 2026 ·
    Dingwei Zhu
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  9. WESR: A Benchmark and Strong Baseline for Word-level Event-Speech Recognition
    ACL 2026 ·
    Chenchen Yang
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  10. XY-Tokenizer: Mitigating the Semantic-Acoustic Conflict in Low-Bitrate Speech Codecs
    ACL 2026 ·
    Yitian Gong
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  11. AgentGym: Evaluating and Training Large Language Model-based Agents across Diverse Environments
    ACL 2025 ·
    Zhiheng Xi
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  12. Are LLMs Rational Investors? A Study on the Financial Bias in LLMs
    ACL 2025 ·
    Yuhang Zhou
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  13. BitStack: Any-Size Compression of Large Language Models in Variable Memory Environments
    ICLR 2025 ·
    Xinghao Wang
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  14. CAMIEval: Enhancing NLG Evaluation through Multidimensional Comparative Instruction-Following Analysis
    NAACL 2025 ·
    Ziyue Fan
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  15. CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs
    ICLR 2025 ·
    Jinlan Fu
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  16. ConvSearch-R1: Enhancing Query Reformulation for Conversational Search with Reasoning via Reinforcement Learning
    EMNLP 2025 ·
    Changtai Zhu
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  17. CritiQ: Mining Data Quality Criteria from Human Preferences
    ACL 2025 ·
    Honglin Guo
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  18. Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance
    ICLR 2025 ·
    Jiasheng Ye
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  19. Decoupled Proxy Alignment: Mitigating Language Prior Conflict for Multimodal Alignment in MLLMs
    EMNLP 2025 ·
    Chenkun Tan
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  20. Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture without Training
    ICML 2025 ·
    Mozhi Zhang
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  21. Dynamic and Generalizable Process Reward Modeling
    ACL 2025 ·
    Zhangyue Yin
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  22. Error Classification of Large Language Models on Math Word Problems: A Dynamically Adaptive Framework
    EMNLP 2025 ·
    Zhangyue Yin
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  23. FastMCTS: A Simple Sampling Strategy for Data Synthesis
    ACL 2025 ·
    Peiji Li
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  24. FiNE: Filtering and Improving Noisy Data Elaborately with Large Language Models
    NAACL 2025 ·
    Junliang He
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  25. Firewall Routing: Blocking Leads to Better Hybrid Inference for LLMs
    EMNLP 2025 ·
    Runyu Peng
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  26. ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection
    NeurIPS 2025 ·
    Zhihao Sun
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  27. How to Mitigate Overfitting in Weak-to-strong Generalization?
    ACL 2025 ·
    Junhao Shi
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  28. INST-IT: Boosting Instance Understanding via Explicit Visual Prompt Instruction Tuning
    NeurIPS 2025 ·
    Wujian Peng
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  29. Implicit Reward as the Bridge: A Unified View of SFT and DPO Connections
    NeurIPS 2025 ·
    Bo Wang
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  30. MCM-DPO: Multifaceted Cross-Modal Direct Preference Optimization for Alt-text Generation
    ACM MM 2025 ·
    Jinlan Fu
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  31. MetaAlign: Align Large Language Models with Diverse Preferences during Inference Time
    NAACL 2025 ·
    Mozhi Zhang
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  32. Multi-Programming Language Sandbox for LLMs
    ACL 2025 ·
    Shihan Dou
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  33. Pre-Trained Policy Discriminators are General Reward Models
    NeurIPS 2025 ·
    Shihan Dou
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  34. Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak Learners
    AISTATS 2025 ·
    Yuxin Wang
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  35. ProLongVid: A Simple but Strong Baseline for Long-context Video Instruction Tuning
    EMNLP 2025 ·
    Rui Wang
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  36. R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement Learning
    EMNLP 2025 ·
    Yuan Li
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  37. REARANK: Reasoning Re-ranking Agent via Reinforcement Learning
    EMNLP 2025 ·
    Le Zhang
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  38. ReAttention: Training-Free Infinite Context with Finite Attention Scope
    ICLR 2025 ·
    Xiaoran Liu
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  39. Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?
    ACL 2025 ·
    Zhiyuan Zeng
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  40. Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Models
    NAACL 2025 ·
    Siyin Wang
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  41. Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs
    ACL 2025 ·
    Tao Ji
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  42. Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures
    ICLR 2025 ·
    Junxuan Wang
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  43. UnifiedVisual: A Framework for Constructing Unified Vision-Language Datasets
    EMNLP 2025 ·
    Pengyu Wang
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  44. UnitCoder: Scalable Code Synthesis from Pre-training Corpora
    EMNLP 2025 ·
    Yichuan Ma
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  45. VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks
    ICCV 2025 ·
    Shiduo Zhang
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  46. VehicleWorld: A Highly Integrated Multi-Device Environment for Intelligent Vehicle Interaction
    EMNLP 2025 ·
    Jie Yang
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  47. VideoRoPE: What Makes for Good Video Rotary Position Embedding?
    ICML 2025 ·
    Xilin Wei
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  48. VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search
    ACL 2025 ·
    Yikun Wang
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  49. World Modeling Makes a Better Planner: Dual Preference Optimization for Embodied Task Planning
    ACL 2025 ·
    Siyin Wang
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  50. World-aware Planning Narratives Enhance Large Vision-Language Model Planner
    NeurIPS 2025 ·
    Junhao Shi
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  51. AdaLomo: Low-memory Optimization with Adaptive Learning Rate
    ACL 2024 ·
    Kai Lv
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  52. Alignment for Honesty
    NeurIPS 2024 ·
    Yuqing Yang
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  53. AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling
    ACL 2024 ·
    Jun Zhan
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  54. Balanced Data Sampling for Language Model Training with Clustering
    ACL 2024 ·
    Yunfan Shao
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  55. Calibrating the Confidence of Large Language Models by Eliciting Fidelity
    EMNLP 2024 ·
    Mozhi Zhang
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  56. Can AI Assistants Know What They Don't Know?
    ICML 2024 ·
    Qinyuan Cheng
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  57. Can Language Models Learn to Skip Steps?
    NeurIPS 2024 ·
    Tengxiao Liu
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  58. Code Needs Comments: Enhancing Code LLMs with Comment Augmentation
    ACL 2024 ·
    Demin Song
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  59. DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning
    AAAI 2024 ·
    Xinghao Wang
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  60. Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder
    ACL 2024 ·
    Jiaqi Wang
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  61. Explicit Memory Learning with Expectation Maximization
    EMNLP 2024 ·
    Zhangyue Yin
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  62. F-Eval: Asssessing Fundamental Abilities with Refined Evaluation Methods
    ACL 2024 ·
    Yu Sun
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  63. Flames: Benchmarking Value Alignment of LLMs in Chinese
    NAACL 2024 ·
    Kexin Huang
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  64. Full Parameter Fine-tuning for Large Language Models with Limited Resources
    ACL 2024 ·
    Kai Lv
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  65. GAOKAO-MM: A Chinese Human-Level Benchmark for Multimodal Models Evaluation
    ACL 2024 ·
    Yi Zong
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  66. Identifying Semantic Induction Heads to Understand In-Context Learning
    ACL 2024 ·
    Jie Ren
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  67. InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance
    EMNLP 2024 ·
    Pengyu Wang
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  68. Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation
    EMNLP 2024 ·
    Qin Zhu
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  69. L-Eval: Instituting Standardized Evaluation for Long Context Language Models
    ACL 2024 ·
    Chenxin An
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  70. LLM can Achieve Self-Regulation via Hyperparameter Aware Generation
    ACL 2024 ·
    Siyin Wang
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  71. LLatrieval: LLM-Verified Retrieval for Verifiable Generation
    NAACL 2024 ·
    Xiaonan Li
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  72. LongWanjuan: Towards Systematic Measurement for Long Text Quality
    EMNLP 2024 ·
    Xiaoran Liu
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  73. Making Large Language Models Better Reasoners with Orchestrated Streaming Experiences
    EMNLP 2024 ·
    Xiangyang Liu
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  74. Memorize Step by Step: Efficient Long-Context Prefilling with Incremental Memory and Decremental Chunk
    EMNLP 2024 ·
    Zhiyuan Zeng
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  75. Pixel-Level Semantic Correspondence Through Layout-Aware Representation Learning and Multi-Scale Matching Integration
    CVPR 2024 ·
    Yixuan Sun
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  76. Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance
    ACL 2024 ·
    Zhangyue Yin
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  77. R³-NL2GQL: A Model Coordination and Knowledge Graph Alignment Approach for NL2GQL
    EMNLP 2024 ·
    Yuhang Zhou
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  78. Scaling Laws for Fact Memorization of Large Language Models
    EMNLP 2024 ·
    Xingyu Lu
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  79. Scaling Laws of RoPE-based Extrapolation
    ICLR 2024 ·
    Xiaoran Liu
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  80. SpeechAlign: Aligning Speech Generation to Human Preferences
    NeurIPS 2024 ·
    Dong Zhang
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  81. SpeechTokenizer: Unified Speech Tokenizer for Speech Language Models
    ICLR 2024 ·
    Xin Zhang
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  82. Training-Free Long-Context Scaling of Large Language Models
    ICML 2024 ·
    Chenxin An
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  83. Turn Waste into Worth: Rectifying Top-k Router of MoE
    EMNLP 2024 ·
    Zhiyuan Zeng
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  84. Unified Active Retrieval for Retrieval Augmented Generation
    EMNLP 2024 ·
    Qinyuan Cheng
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