深度学习 · large language models论文趋势 2023–2026

ICML/NeurIPS 深度学习方向：large_language_models

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 2,334 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

深度学习 · large language models论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
20234150730488
2024298000298
20250134040417
2026001,13101,131

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

全部深度学习 · large language models论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 2,334 篇，第 35 / 47 页

  1. NeurIPS 2024LIVE: Learnable In-Context Vector for Visual Question Answering
  2. NeurIPS 2024LLM Evaluators Recognize and Favor Their Own Generations
  3. NeurIPS 2024LLM-Check: Investigating Detection of Hallucinations in Large Language Models
  4. NeurIPS 2024Localized Zeroth-Order Prompt Optimization
  5. NeurIPS 2024LoFiT: Localized Fine-tuning on LLM Representations
  6. NeurIPS 2024Long-form factuality in large language models
  7. NeurIPS 2024Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering
  8. NeurIPS 2024LoTLIP: Improving Language-Image Pre-training for Long Text Understanding
  9. NeurIPS 2024MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems
  10. NeurIPS 2024MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization
  11. NeurIPS 2024Make Your LLM Fully Utilize the Context
  12. NeurIPS 2024MAmmoTH2: Scaling Instructions from the Web
  13. NeurIPS 2024Many-Shot In-Context Learning
  14. NeurIPS 2024MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models
  15. NeurIPS 2024MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models
  16. NeurIPS 2024Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance
  17. NeurIPS 2024MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning
  18. NeurIPS 2024MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models
  19. NeurIPS 2024Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving
  20. NeurIPS 2024Mind's Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models
  21. NeurIPS 2024MindMerger: Efficiently Boosting LLM Reasoning in non-English Languages
  22. NeurIPS 2024MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
  23. NeurIPS 2024MiniCache: KV Cache Compression in Depth Dimension for Large Language Models
  24. NeurIPS 2024Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation
  25. NeurIPS 2024Mixture of Demonstrations for In-Context Learning
  26. NeurIPS 2024Mixture of In-Context Experts Enhance LLMs' Long Context Awareness
  27. NeurIPS 2024Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models
  28. NeurIPS 2024Mixture of Tokens: Continuous MoE through Cross-Example Aggregation
  29. NeurIPS 2024MKGL: Mastery of a Three-Word Language
  30. NeurIPS 2024Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration
  31. NeurIPS 2024MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability
  32. NeurIPS 2024Multi-LLM Debate: Framework, Principals, and Interventions
  33. NeurIPS 2024Neuro-Symbolic Data Generation for Math Reasoning
  34. NeurIPS 2024Noise Contrastive Alignment of Language Models with Explicit Rewards
  35. NeurIPS 2024Not All Tokens Are What You Need for Pretraining
  36. NeurIPS 2024Observational Scaling Laws and the Predictability of Langauge Model Performance
  37. NeurIPS 2024OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step
  38. NeurIPS 2024On Affine Homotopy between Language Encoders
  39. NeurIPS 2024On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion
  40. NeurIPS 2024On the Worst Prompt Performance of Large Language Models
  41. NeurIPS 2024Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge
  42. NeurIPS 2024OneBit: Towards Extremely Low-bit Large Language Models
  43. NeurIPS 2024Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning
  44. NeurIPS 2024PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition
  45. NeurIPS 2024Panacea: Pareto Alignment via Preference Adaptation for LLMs
  46. NeurIPS 2024Parameter Competition Balancing for Model Merging
  47. NeurIPS 2024PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applications
  48. NeurIPS 2024Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering
  49. NeurIPS 2024Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization
  50. NeurIPS 2024Policy Improvement using Language Feedback Models

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用 paperlist 查深度学习 · large language models在 ICML 2023–2026 的论文趋势，哪一年涨得最快？

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常见问题

2023–2026 年四大会议一共有多少篇深度学习 · large language models论文？
共 2,334 篇，按年份分别是 2023 年 488 篇、2024 年 298 篇、2025 年 417 篇、2026 年 1,131 篇。
NeurIPS 2024 有多少篇深度学习 · large language models论文？
NeurIPS 2024 有 298 篇深度学习 · large language models论文，上一届是 415 篇。
ICLR 2025 有多少篇深度学习 · large language models论文？
ICLR 2025 有 13 篇深度学习 · large language models论文。
ICML 2026 有多少篇深度学习 · large language models论文？
ICML 2026 有 1,131 篇深度学习 · large language models论文，上一届是 404 篇。
哪个会议的深度学习 · large language models论文最多？
ICML，2023–2026 年共 1,608 篇。

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