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 544 篇，第 11 / 11 页

501. ICML 2024Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
502. ICML 2024Characterizing ResNet's Universal Approximation Capability
503. ICML 2024CLLMs: Consistency Large Language Models
504. ICML 2024Embodied CoT Distillation From LLM To Off-the-shelf Agents
505. ICML 2024ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking
506. ICML 2024Executable Code Actions Elicit Better LLM Agents
507. ICML 2024Exploring the LLM Journey from Cognition to Expression with Linear Representations
508. ICML 2024Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study
509. ICML 2024LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning
510. ICML 2024LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
511. ICML 2024Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
512. ICML 2024MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark
513. ICML 2024MuxServe: Flexible Spatial-Temporal Multiplexing for Multiple LLM Serving
514. ICML 2024NExT-GPT: Any-to-Any Multimodal LLM
515. ICML 2024Position: Fundamental Limitations of LLM Censorship Necessitate New Approaches
516. ICML 2024Position: Key Claims in LLM Research Have a Long Tail of Footnotes
517. ICML 2024Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents
518. ICML 2024SparQ Attention: Bandwidth-Efficient LLM Inference
519. NeurIPS 2024Cascade Speculative Drafting for Even Faster LLM Inference
520. NeurIPS 2024DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
521. NeurIPS 2024Distributional Preference Alignment of LLMs via Optimal Transport
522. NeurIPS 2024EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries
523. NeurIPS 2024Enhancing LLM’s Cognition via Structurization
524. NeurIPS 2024Evaluating Copyright Takedown Methods for Language Models
525. NeurIPS 2024Exploiting LLM Quantization
526. NeurIPS 2024Gorilla: Large Language Model Connected with Massive APIs
527. NeurIPS 2024HYDRA: Model Factorization Framework for Black-Box LLM Personalization
528. NeurIPS 2024IaC-Eval: A Code Generation Benchmark for Cloud Infrastructure-as-Code Programs
529. NeurIPS 2024Large Language Models' Expert-level Global History Knowledge Benchmark (HiST-LLM)
530. NeurIPS 2024LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language
531. NeurIPS 2024LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems
532. NeurIPS 2024NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention
533. NeurIPS 2024ReMoDetect: Reward Models Recognize Aligned LLM's Generations
534. NeurIPS 2024Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
535. NeurIPS 2024RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models
536. NeurIPS 2024SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training
537. NeurIPS 2024SpecExec: Massively Parallel Speculative Decoding For Interactive LLM Inference on Consumer Devices
538. NeurIPS 2024Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training
539. NeurIPS 2024To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty
540. NeurIPS 2024Topic-Conversation Relevance (TCR) Dataset and Benchmarks
541. NeurIPS 2024Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers
542. NeurIPS 2024WaterMax: breaking the LLM watermark detectability-robustness-quality trade-off
543. NeurIPS 2023Jailbroken: How Does LLM Safety Training Fail?
544. NeurIPS 2023Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing

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。