大模型基准论文趋势 2023–2026

主要结论

• 大模型基准论文从 2023 年的 2 篇增长到 2026 年的 307 篇，三年间扩大到约 154 倍。
• NeurIPS 是发大模型基准论文最多的会议，2023–2026 年共 256 篇，占四个会议总量的 47%。
• 交叉方向里涨得最快的是AI 智能体：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 116 篇。
• 在「评测与基准」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的模型即裁判是 27 倍，大模型基准是 154 倍。

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

• NeurIPS 2026A Free Lunch in LLM Compression: Revisiting Retraining after Pruning
• ICML 2026Controlled LLM Training on Spectral Sphere
• ICLR 2026Hey, That's My Model! Introducing Chain & Hash, An LLM Fingerprinting Technique
• CVPR 20263DrawAgent Teaching LLM to Draw in 3D with Early Contrastive
• NeurIPS 2025ACCO: Accumulate While You Communicate for Communication-Overlapped Sharded LLM Training
• ICML 2025Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM’s Reasoning Capability
• ICLR 2025Catastrophic Failure of LLM Unlearning via Quantization
• CVPR 2025Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model
• NeurIPS 2024Large Language Models' Expert-level Global History Knowledge Benchmark (HiST-LLM)
• ICML 2024Characterizing ResNet's Universal Approximation Capability
• ICLR 2024Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals
• CVPR 2024Koala: Key Frame-Conditioned Long Video-LLM
• NeurIPS 2023Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing
• NeurIPS 2026Accelerating LLM Pre-Training through Flat-Direction Dynamics Enhancement
• ICML 2026LLM Priors for ERM over Programs
• ICLR 2026How Learning Rate Decay Wastes Your Best Data in Curriculum-Based LLM Pretraining
• CVPR 20263D-VCD Hallucination Mitigation in 3D-LLM Embodied Agents through Visual Contrastive
• NeurIPS 2025BrainEC-LLM: Brain Effective Connectivity Estimation by Multiscale Mixing LLM
• ICML 2025Position: Medical Large Language Model Benchmarks Should Prioritize Construct Validity
• ICLR 2025Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates

全部大模型基准论文

共 174 篇，第 1 / 4 页

1. CVPR 2025LiveCC: Learning Video LLM with Streaming Speech Transcription at Scale
2. CVPR 2025M-LLM Based Video Frame Selection for Efficient Video Understanding
3. CVPR 2025Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model
4. CVPR 2025Separation of Powers: On Segregating Knowledge from Observation in LLM-enabled Knowledge-based Visual Question Answering
5. CVPR 2025StoryGPT-V: Large Language Models as Consistent Story Visualizers
6. CVPR 2025Video-3D LLM: Learning Position-Aware Video Representation for 3D Scene Understanding
7. CVPR 2025VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM
8. CVPR 2025VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos
9. ICLR 2025AI Sandbagging: Language Models can Strategically Underperform on Evaluations
10. ICLR 2025An Empirical Analysis of Uncertainty in Large Language Model Evaluations
11. ICLR 2025Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback
12. ICLR 2025BingoGuard: LLM Content Moderation Tools with Risk Levels
13. ICLR 2025Catastrophic Failure of LLM Unlearning via Quantization
14. ICLR 2025Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates
15. ICLR 2025Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection
16. ICLR 2025Controlled LLM Decoding via Discrete Auto-regressive Biasing
17. ICLR 2025Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
18. ICLR 2025Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling
19. ICLR 2025Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents
20. ICLR 2025Do LLMs have Consistent Values?
21. ICLR 2025Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs
22. ICLR 2025DON’T STOP ME NOW: EMBEDDING BASED SCHEDULING FOR LLMS
23. ICLR 2025ELICIT: LLM Augmentation Via External In-context Capability
24. ICLR 2025Faster Cascades via Speculative Decoding
25. ICLR 2025ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities
26. ICLR 2025Fourier Head: Helping Large Language Models Learn Complex Probability Distributions
27. ICLR 2025From Commands to Prompts: LLM-based Semantic File System for AIOS
28. ICLR 2025GameArena: Evaluating LLM Reasoning through Live Computer Games
29. ICLR 2025Herald: A Natural Language Annotated Lean 4 Dataset
30. ICLR 2025HShare: Fast LLM Decoding by Hierarchical Key-Value Sharing
31. ICLR 2025Improving Large Language Model Planning with Action Sequence Similarity
32. ICLR 2025Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning
33. ICLR 2025Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy
34. ICLR 2025Language Models Are Implicitly Continuous
35. ICLR 2025Large Language Models can Become Strong Self-Detoxifiers
36. ICLR 2025Law of the Weakest Link: Cross Capabilities of Large Language Models
37. ICLR 2025Lawma: The Power of Specialization for Legal Annotation
38. ICLR 2025LiveBench: A Challenging, Contamination-Limited LLM Benchmark
39. ICLR 2025LLM Unlearning via Loss Adjustment with Only Forget Data
40. ICLR 2025Logical Consistency of Large Language Models in Fact-Checking
41. ICLR 2025MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning
42. ICLR 2025Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models
43. ICLR 2025On Calibration of LLM-based Guard Models for Reliable Content Moderation
44. ICLR 2025Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models
45. ICLR 2025PhyloLM: Inferring the Phylogeny of Large Language Models and Predicting their Performances in Benchmarks
46. ICLR 2025RevisEval: Improving LLM-as-a-Judge via Response-Adapted References
47. ICLR 2025Robotouille: An Asynchronous Planning Benchmark for LLM Agents
48. ICLR 2025SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators
49. ICLR 2025Selective Attention Improves Transformer
50. ICLR 2025SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal

常见问题

2023–2026 年四大会议一共有多少篇大模型基准论文？

共 544 篇，按年份分别是 2023 年 2 篇、2024 年 61 篇、2025 年 174 篇、2026 年 307 篇。

NeurIPS 2026 有多少篇大模型基准论文？

NeurIPS 2026 有 138 篇大模型基准论文，上一届是 92 篇。

ICLR 2026 有多少篇大模型基准论文？

ICLR 2026 有 103 篇大模型基准论文，上一届是 50 篇。

ICML 2026 有多少篇大模型基准论文？

ICML 2026 有 60 篇大模型基准论文，上一届是 24 篇。

CVPR 2026 有多少篇大模型基准论文？

CVPR 2026 有 6 篇大模型基准论文，上一届是 8 篇。

哪个会议的大模型基准论文最多？

NeurIPS，2023–2026 年共 256 篇。