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 24 篇，第 1 / 1 页

1. NeurIPS 2024Cascade Speculative Drafting for Even Faster LLM Inference
2. NeurIPS 2024DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
3. NeurIPS 2024Distributional Preference Alignment of LLMs via Optimal Transport
4. NeurIPS 2024EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries
5. NeurIPS 2024Enhancing LLM’s Cognition via Structurization
6. NeurIPS 2024Evaluating Copyright Takedown Methods for Language Models
7. NeurIPS 2024Exploiting LLM Quantization
8. NeurIPS 2024Gorilla: Large Language Model Connected with Massive APIs
9. NeurIPS 2024HYDRA: Model Factorization Framework for Black-Box LLM Personalization
10. NeurIPS 2024IaC-Eval: A Code Generation Benchmark for Cloud Infrastructure-as-Code Programs
11. NeurIPS 2024Large Language Models' Expert-level Global History Knowledge Benchmark (HiST-LLM)
12. NeurIPS 2024LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language
13. NeurIPS 2024LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems
14. NeurIPS 2024NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention
15. NeurIPS 2024ReMoDetect: Reward Models Recognize Aligned LLM's Generations
16. NeurIPS 2024Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
17. NeurIPS 2024RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models
18. NeurIPS 2024SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training
19. NeurIPS 2024SpecExec: Massively Parallel Speculative Decoding For Interactive LLM Inference on Consumer Devices
20. NeurIPS 2024Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training
21. NeurIPS 2024To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty
22. NeurIPS 2024Topic-Conversation Relevance (TCR) Dataset and Benchmarks
23. NeurIPS 2024Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers
24. NeurIPS 2024WaterMax: breaking the LLM watermark detectability-robustness-quality trade-off

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。