PPaperPicks

Bing Qin

Harbin Institute of Technology, Research Center for Social Computing and Information Retrieval, China

119 papers at tracked venues · 94 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-2543-5604 ↗

Venues

ACL ×68EMNLP ×21AAAI ×11NeurIPS ×10ACM MM ×2IJCAI ×2NAACL ×2ICLR ×1SIGIR ×1WWW ×1

Frequent coauthors

Weixiang Zhao
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Yang Zhao
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Bichen Wang
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Yangfan Ye
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Lei Huang
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Tao He
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Zheng Chu
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Shixin Jiang
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Guo Tang
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Yanrui Du
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Yirong Zeng
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Zerui Chen
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Papers

  1. Adaptive Backtracking for Privacy Protection in Large Language Models
    ACL 2026 ·
    Zhihao Yao
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  2. Beyond the Flat Sequence: Hierarchical and Preference-Aware Generative Recommendations
    WWW 2026 ·
    Zerui Chen
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  3. Breaking Language Preference in Multilingual RAG via Language-Controllable Retrieval and Language-Agnostic Reasoning
    ACL 2026 ·
    Wenshuai Huo
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  4. CARE-Bench: A Benchmark of Diverse Client Simulations Guided by Expert Principles for Evaluating LLMs in Psychological Counseling
    AAAI 2026 ·
    Bichen Wang
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  5. Collaborative Chain-of-Agents for Parametric-Retrieved Knowledge Synergy
    ACL 2026 ·
    Yi Jiang
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  6. Consolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient Concentration
    ACL 2026 ·
    Yang Zhao
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  7. Culture-Aware Machine Translation in Large Language Models: Benchmarking and Investigation
    ACL 2026 ·
    Zekun Yuan
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  8. CultureRL: Internalizing Cultural Principles in Large Language Models via Norm-Driven Reinforcement Learning
    AAAI 2026 ·
    Weixiang Zhao
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  9. EMTIR-GRPO: Efficient Multi-Tool Augmented Large Language Models via Reinforcement Learning
    ACL 2026 ·
    Shixin Jiang
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  10. ENPMR-Bench: Benchmarking Proactive Memory Retrieval for Emotional Support Agents
    ACL 2026 ·
    Xing Fu
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  11. Fine-Mem: Fine-Grained Feedback Alignment for Long-Horizon Memory Management
    ACL 2026 ·
    Weitao Ma
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  12. From Implicit Graph Encoding to Explicit Evidence: A Training-Free LLM Framework for Temporal Knowledge Graph Reasoning
    ACL 2026 ·
    Guo Tang
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  13. Graph Reasoning Paradigm: Structured and Symbolic Reasoning with Topology-Aware Reinforcement Learning for Large Language Models
    ACL 2026 ·
    Runxuan Liu
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  14. LangGPS: Language Separability Guided Data Pre-Selection for Joint Multilingual Instruction Tuning
    AAAI 2026 ·
    Yangfan Ye
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  15. Large Language Models Are Still Misled by Simple Bias Ensembles
    ACL 2026 ·
    Zhouhao Sun
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  16. MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward Optimization
    ACL 2026 ·
    Yang Zhao
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  17. MCGA: A Multi-task Classical Chinese Literary Genre Audio Corpus
    ACL 2026 ·
    Yexing Du
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  18. MDC-Bench: A Multidisciplinary Causal Benchmark Based on Causal Structures for Evaluating Large Language Models
    ACL 2026 ·
    Peng Wang
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  19. MPR-GUI: Benchmarking and Enhancing Multilingual Perception and Reasoning in GUI Agents
    ACL 2026 ·
    Ruihan Chen
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  20. On Safety Risks in Experience-Driven Self-Evolving Agents
    ACL 2026 ·
    Weixiang Zhao
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  21. PARIF: Pushing the Pareto Frontier of Instruction Following and Reasoning with Curriculum Reinforcement Learning
    ACL 2026 ·
    Rongchuan Mu
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  22. Psychological Counseling Cannot Be Achieved Overnight: Automated Psychological Counseling Through Multi-Session Conversations
    ACL 2026 ·
    Bichen Wang
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  23. Question Tells You Where the Answer Is: Intention-aware Long-Context KV Cache Compression
    ACL 2026 ·
    Liang Zhao
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  24. SAVOIR: Learning Social Savoir-Faire via Shapley-based Reward Attribution
    ACL 2026 ·
    Xiachong Feng
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  25. Stratagem: Learning Transferable Reasoning via Trajectory-Modulated Game Self-Play
    ACL 2026 ·
    Xiachong Feng
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  26. TEA-Bench: A Systematic Benchmarking of Tool-enhanced Emotional Support Dialogue Agent
    ACL 2026 ·
    Xingyu Sui
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  27. Toward Secure Tuning: Mitigating Security Risks from Instruction Fine-Tuning
    ACL 2026 ·
    Yanrui Du
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  28. Trade-offs in Large Reasoning Models: An Empirical Analysis of Deliberative and Adaptive Reasoning over Foundational Capabilities
    AAAI 2026 ·
    Weixiang Zhao
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  29. Two-Stage Parameter Alignment for Multi-LoRA Merging in Large Language Models
    ACL 2026 ·
    Zijian Li
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  30. Unlocking Multilingual Reasoning Capability of LLMs and LVLMs through Representation Engineering
    ACL 2026 ·
    Qiming Li
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  31. WebAnchor: Anchoring Agent Planning to Stabilize Long-Horizon Web Reasoning
    ACL 2026 ·
    Xinmiao Yu
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  32. When Correct Beliefs Collapse: Epistemic Resilience of LLMs under Clinical Pressure
    ACL 2026 ·
    Boyu Xiao
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  33. When Personalization Legitimizes Risks: Uncovering Safety Vulnerabilities in Personalized Dialogue Agents
    ACL 2026 ·
    Jiahe Guo
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  34. x1: Learning to Think Adaptively Across Languages and Cultures
    ACL 2026 ·
    Yangfan Ye
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  35. AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defender
    EMNLP 2025 ·
    Weixiang Zhao
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  36. Alleviating Hallucinations from Knowledge Misalignment in Large Language Models via Selective Abstention Learning
    ACL 2025 ·
    Lei Huang
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  37. AnRe: Analogical Replay for Temporal Knowledge Graph Forecasting
    ACL 2025 ·
    Guo Tang
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  38. Analyzing the Rapid Generalization of SFT via the Perspective of Attention Head Activation Patterns
    ACL 2025 ·
    Yang Zhao
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  39. Balancing Forget Quality and Model Utility: A Reverse KL-Divergence Knowledge Distillation Approach for Better Unlearning in LLMs
    NAACL 2025 ·
    Bichen Wang
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  40. Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs
    ACL 2025 ·
    Weixiang Zhao
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  41. Beyond Fixed Length: Bucket Pre-training is All You Need
    IJCAI 2025 ·
    Qing Yang
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  42. Beyond Frameworks: Unpacking Collaboration Strategies in Multi-Agent Systems
    ACL 2025 ·
    Haochun Wang
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  43. Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection
    ACL 2025 ·
    Yang Zhao
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  44. Beyond Snapshots: A Multimodal User-Level Dataset for Depression Detection in Dynamic Social Media Streams
    ACM MM 2025 ·
    Bichen Wang
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  45. Breaking the Reasoning Barrier A Survey on LLM Complex Reasoning through the Lens of Self-Evolution
    ACL 2025 ·
    Tao He
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  46. CC-Tuning: A Cross-Lingual Connection Mechanism for Improving Joint Multilingual Supervised Fine-Tuning
    ACL 2025 ·
    Yangfan Ye
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  47. CLAIM: Mitigating Multilingual Object Hallucination in Large Vision-Language Models with Cross-Lingual Attention Intervention
    ACL 2025 ·
    Zekai Ye
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  48. Chain of Strategy Optimization Makes Large Language Models Better Emotional Supporter
    EMNLP 2025 ·
    Weixiang Zhao
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  49. Com² : A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models
    ACL 2025 ·
    Kai Xiong
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  50. Context-Aware Hierarchical Taxonomy Generation for Scientific Papers via LLM-Guided Multi-Aspect Clustering
    EMNLP 2025 ·
    Kun Zhu
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  51. Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective
    AAAI 2025 ·
    Xinmiao Yu
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  52. EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models
    ACL 2025 ·
    Zekun Wang
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  53. End-to-End Learnable Psychiatric Scale Guided Risky Post Screening for Depression Detection on Social Media
    EMNLP 2025 ·
    Bichen Wang
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  54. Enhancing Non-English Capabilities of English-Centric Large Language Models Through Deep Supervision Fine-Tuning
    AAAI 2025 ·
    Wenshuai Huo
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  55. Ensuring Responses Contain Appropriate Images: Timing Judgment for Multimodal Responses
    ACM MM 2025 ·
    Hao Yang
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  56. ExpeTrans: LLMs Are Experiential Transfer Learners
    ACL 2025 ·
    Jinglong Gao
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  57. Exploring Large Language Models for Effective Rumor Detection on Social Media
    NAACL 2025 ·
    Yirong Zeng
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  58. FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging
    EMNLP 2025 ·
    Zijian Li
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  59. From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems
    EMNLP 2025 ·
    Zekun Zhou
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  60. From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalities
    ACL 2025 ·
    Shixin Jiang
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  61. GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis
    ACL 2025 ·
    Yi Jiang
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  62. How Does Sequence Modeling Architecture Influence Base Capabilities of Pre-trained Language Models? Exploring Key Architecture Design Principles to Avoid Base Capabilities Degradation
    NeurIPS 2025 ·
    Xin Lu
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  63. How do Language Models Reshape Entity Alignment? A Survey of LM-Driven EA Methods: Advances, Benchmarks, and Future
    EMNLP 2025 ·
    Zerui Chen
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  64. Improved Diffusion-based Generative Model with Better Adversarial Robustness
    ICLR 2025 ·
    Zekun Wang
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  65. Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization
    ACL 2025 ·
    Lei Huang
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  66. Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency
    ACL 2025 ·
    Jiafeng Liang
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  67. Investigating the Security Threat Arising from "Yes-No" Implicit Bias in Large Language Models
    AAAI 2025 ·
    Yanrui Du
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  68. Length Controlled Generation for Black-box LLMs
    ACL 2025 ·
    Yuxuan Gu
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  69. Look Beyond Feeling: Unveiling Latent Needs from Implicit Expressions for Proactive Emotional Support
    EMNLP 2025 ·
    Xing Fu
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  70. MA-GTS: A Multi-Agent Framework for Solving Complex Graph Problems in Real-World Applications
    EMNLP 2025 ·
    Zike Yuan
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  71. MPO: Multilingual Safety Alignment via Reward Gap Optimization
    ACL 2025 ·
    Weixiang Zhao
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  72. Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning
    ACL 2025 ·
    Yexing Du
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  73. Natural Logic at the Core: Dynamic Rewards for Entailment Tree Generation
    ACL 2025 ·
    Jihao Shi
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  74. One for All: Update Parameterized Knowledge Across Multiple Models with Once Edit
    ACL 2025 ·
    Weitao Ma
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  75. Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering
    ACL 2025 ·
    Runxuan Liu
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  76. Probing and Boosting Large Language Models Capabilities via Attention Heads
    EMNLP 2025 ·
    Dezhi Zhao
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  77. Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering
    ACL 2025 ·
    Zheng Chu
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  78. Separate the Wheat from the Chaff: A Post-Hoc Approach to Safety Re-Alignment for Fine-Tuned Language Models
    ACL 2025 ·
    Di Wu
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  79. Simulating Before Planning: Constructing Intrinsic User World Model for User-Tailored Dialogue Policy Planning
    SIGIR 2025 ·
    Tao He
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  80. Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues
    AAAI 2025 ·
    Tao He
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  81. Teaching Language Models to Evolve with Users: Dynamic Profile Modeling for Personalized Alignment
    NeurIPS 2025 ·
    Weixiang Zhao
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  82. Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch
    EMNLP 2025 ·
    Yirong Zeng
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  83. UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection
    NeurIPS 2025 ·
    Yang Zhao
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  84. When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners
    NeurIPS 2025 ·
    Weixiang Zhao
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  85. iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use
    EMNLP 2025 ·
    Yirong Zeng
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  86. AS-ES Learning: Towards efficient CoT learning in small models
    ACL 2024 ·
    Nuwa Xi
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  87. Advancing Large Language Model Attribution through Self-Improving
    EMNLP 2024 ·
    Lei Huang
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  88. Aligning Translation-Specific Understanding to General Understanding in Large Language Models
    EMNLP 2024 ·
    Yichong Huang
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  89. An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation
    ACL 2024 ·
    Kun Zhu
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  90. BC-Prover: Backward Chaining Prover for Formal Theorem Proving
    EMNLP 2024 ·
    Yuhang He
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  91. BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering
    ACL 2024 ·
    Zheng Chu
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  92. Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence
    ACL 2024 ·
    Weixiang Zhao
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  93. Causal-Guided Active Learning for Debiasing Large Language Models
    ACL 2024 ·
    Zhouhao Sun
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  94. CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models
    EMNLP 2024 ·
    Yaojia Lv
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  95. Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning
    ACL 2024 ·
    Yang Zhao
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  96. Decomposing Argumentative Essay Generation via Dialectical Planning of Complex Reasoning
    ACL 2024 ·
    Yuhang He
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  97. Discrete Modeling via Boundary Conditional Diffusion Processes
    NeurIPS 2024 ·
    Yuxuan Gu
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  98. Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation
    NeurIPS 2024 ·
    Jingchang Chen
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  99. Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration
    NeurIPS 2024 ·
    Yichong Huang
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  100. Extending Context Window of Large Language Models from a Distributional Perspective
    EMNLP 2024 ·
    Yingsheng Wu
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  101. From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery
    AAAI 2024 ·
    Yuhan Chen
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  102. GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension
    IJCAI 2024 ·
    Jiafeng Liang
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  103. GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization
    EMNLP 2024 ·
    Yangfan Ye
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  104. How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers
    NeurIPS 2024 ·
    Xin Lu
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  105. Improving In-Context Learning with Prediction Feedback for Sentiment Analysis
    ACL 2024 ·
    Hongling Xu
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  106. Infrared-LLaVA: Enhancing Understanding of Infrared Images in Multi-Modal Large Language Models
    EMNLP 2024 ·
    Shixin Jiang
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  107. Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models
    ACL 2024 ·
    Weihong Zhong
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  108. Learning Fine-Grained Grounded Citations for Attributed Large Language Models
    ACL 2024 ·
    Lei Huang
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  109. Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding
    EMNLP 2024 ·
    Liang Zhao
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  110. Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification
    AAAI 2024 ·
    Haochun Wang
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  111. Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance
    NeurIPS 2024 ·
    Kai Xiong
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  112. MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability
    NeurIPS 2024 ·
    Yanrui Du
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  113. MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts
    AAAI 2024 ·
    Haoqiang Guo
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  114. Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future
    ACL 2024 ·
    Zheng Chu
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  115. Planning Like Human: A Dual-process Framework for Dialogue Planning
    ACL 2024 ·
    Tao He
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  116. SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models
    ACL 2024 ·
    Weixiang Zhao
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  117. Self-Evolving GPT: A Lifelong Autonomous Experiential Learner
    ACL 2024 ·
    Jinglong Gao
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  118. TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models
    ACL 2024 ·
    Zheng Chu
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  119. Towards Benchmarking Situational Awareness of Large Language Models: Comprehensive Benchmark, Evaluation and Analysis
    EMNLP 2024 ·
    Guo Tang
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