大模型基准论文趋势 2023–2026
能力评测
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 544 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 2 | 0 | 0 | 0 | 2 |
| 2024 | 24 | 13 | 21 | 3 | 61 |
| 2025 | 92 | 50 | 24 | 8 | 174 |
| 2026 | 138 | 103 | 60 | 6 | 307 |
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
- ICML 2025CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration
- ICML 2025Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM’s Reasoning Capability
- ICML 2025Demystifying Singular Defects in Large Language Models
- ICML 2025Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning
- ICML 2025FlatQuant: Flatness Matters for LLM Quantization
- ICML 2025From Crowdsourced Data to High-quality Benchmarks: Arena-Hard and Benchbuilder Pipeline
- ICML 2025From Jack of All Trades to Master of One: Specializing LLM-based Autoraters to a Test Set
- ICML 2025La RoSA: Enhancing LLM Efficiency via Layerwise Rotated Sparse Activation
- ICML 2025Large Language-Geometry Model: When LLM meets Equivariance
- ICML 2025LongRoPE2: Near-Lossless LLM Context Window Scaling
- ICML 2025Memorization Sinks: Isolating Memorization during LLM Training
- ICML 2025Minerva: A Programmable Memory Test Benchmark for Language Models
- ICML 2025Overestimation in LLM Evaluation: A Controlled Large-Scale Study on Data Contamination’s Impact on Machine Translation
- ICML 2025Position: Don't Use the CLT in LLM Evals With Fewer Than a Few Hundred Datapoints
- ICML 2025Position: Medical Large Language Model Benchmarks Should Prioritize Construct Validity
- ICML 2025Position: Principles of Animal Cognition to Improve LLM Evaluations
- ICML 2025Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives
- ICML 2025Position: The Most Expensive Part of an LLM *should* be its Training Data
- ICML 2025RBench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation
- ICML 2025RE-Bench: Evaluating Frontier AI R&D Capabilities of Language Model Agents against Human Experts
- ICML 2025Reward-Augmented Data Enhances Direct Preference Alignment of LLMs
- ICML 2025RZ-NAS: Enhancing LLM-guided Neural Architecture Search via Reflective Zero-Cost Strategy
- ICML 2025Sketch to Adapt: Fine-Tunable Sketches for Efficient LLM Adaptation
- ICML 2025TruthFlow: Truthful LLM Generation via Representation Flow Correction
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查大模型基准在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "llm-benchmarks"}
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。