模型即裁判论文趋势 2023–2026

自动评测

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 401 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

模型即裁判论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202351208
202427129048
20255337333126
20268862645219

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

全部模型即裁判论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 48 篇，第 1 / 1 页

  1. ICLR 2024An LLM can Fool Itself: A Prompt-Based Adversarial Attack
  2. ICLR 2024ARGS: Alignment as Reward-Guided Search
  3. ICLR 2024BEND: Benchmarking DNA Language Models on Biologically Meaningful Tasks
  4. ICLR 2024Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain
  5. ICLR 2024Can LLM-Generated Misinformation Be Detected?
  6. ICLR 2024Generative Judge for Evaluating Alignment
  7. ICLR 2024On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs
  8. ICLR 2024PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
  9. ICLR 2024PB-LLM: Partially Binarized Large Language Models
  10. ICLR 2024Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models
  11. ICLR 2024The LLM Surgeon
  12. ICLR 2024To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination
  13. ICML 2024CHAI: Clustered Head Attention for Efficient LLM Inference
  14. ICML 2024ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking
  15. ICML 2024MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark
  16. ICML 2024MuxServe: Flexible Spatial-Temporal Multiplexing for Multiple LLM Serving
  17. ICML 2024NExT-GPT: Any-to-Any Multimodal LLM
  18. ICML 2024Position: Fundamental Limitations of LLM Censorship Necessitate New Approaches
  19. ICML 2024Position: Key Claims in LLM Research Have a Long Tail of Footnotes
  20. ICML 2024Self-Rewarding Language Models
  21. ICML 2024SparQ Attention: Bandwidth-Efficient LLM Inference
  22. NeurIPS 2024Accuracy is Not All You Need
  23. NeurIPS 2024AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents
  24. NeurIPS 2024Apathetic or Empathetic? Evaluating LLMs' Emotional Alignments with Humans
  25. NeurIPS 2024Automatic Outlier Rectification via Optimal Transport
  26. NeurIPS 2024AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning
  27. NeurIPS 2024Benchmarking Complex Instruction-Following with Multiple Constraints Composition
  28. NeurIPS 2024BertaQA: How Much Do Language Models Know About Local Culture?
  29. NeurIPS 2024CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses
  30. NeurIPS 2024CriticEval: Evaluating Large-scale Language Model as Critic
  31. NeurIPS 2024Efficient multi-prompt evaluation of LLMs
  32. NeurIPS 2024Enhancing LLM’s Cognition via Structurization
  33. NeurIPS 2024Evaluating Copyright Takedown Methods for Language Models
  34. NeurIPS 2024Exploiting LLM Quantization
  35. NeurIPS 2024IDGen: Item Discrimination Induced Prompt Generation for LLM Evaluation
  36. NeurIPS 2024IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering
  37. NeurIPS 2024Large Language Models' Expert-level Global History Knowledge Benchmark (HiST-LLM)
  38. NeurIPS 2024Learn To be Efficient: Build Structured Sparsity in Large Language Models
  39. NeurIPS 2024LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems
  40. NeurIPS 2024MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures
  41. NeurIPS 2024On scalable oversight with weak LLMs judging strong LLMs
  42. NeurIPS 2024Prediction-Powered Ranking of Large Language Models
  43. NeurIPS 2024ReMoDetect: Reward Models Recognize Aligned LLM's Generations
  44. NeurIPS 2024Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
  45. NeurIPS 2024Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training
  46. NeurIPS 2024Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning
  47. NeurIPS 2024The Art of Saying No: Contextual Noncompliance in Language Models
  48. NeurIPS 2024WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models

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 查模型即裁判在 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-as-judge"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

常见问题

2023–2026 年四大会议一共有多少篇模型即裁判论文？
共 401 篇，按年份分别是 2023 年 8 篇、2024 年 48 篇、2025 年 126 篇、2026 年 219 篇。
NeurIPS 2026 有多少篇模型即裁判论文？
NeurIPS 2026 有 88 篇模型即裁判论文，上一届是 53 篇。
ICLR 2026 有多少篇模型即裁判论文？
ICLR 2026 有 62 篇模型即裁判论文，上一届是 37 篇。
ICML 2026 有多少篇模型即裁判论文？
ICML 2026 有 64 篇模型即裁判论文，上一届是 33 篇。
CVPR 2026 有多少篇模型即裁判论文？
CVPR 2026 有 5 篇模型即裁判论文，上一届是 3 篇。
哪个会议的模型即裁判论文最多？
NeurIPS，2023–2026 年共 173 篇。

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