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
- 模型即裁判论文从 2023 年的 8 篇增长到 2026 年的 219 篇，三年间扩大到约 27 倍。
- NeurIPS 是发模型即裁判论文最多的会议，2023–2026 年共 173 篇，占四个会议总量的 43%。
- 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 78 篇。
- 在「评测与基准」的 5 个主题里，它的 2026 年论文数排第 2；同组增长最快的大模型基准是 154 倍，模型即裁判是 27 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 5 | 1 | 2 | 0 | 8 |
| 2024 | 27 | 12 | 9 | 0 | 48 |
| 2025 | 53 | 37 | 33 | 3 | 126 |
| 2026 | 88 | 62 | 64 | 5 | 219 |
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 2026A Judge-Aware Ranking Framework for Evaluating Large Language Models without Ground Truth
- ICLR 2026Addressing Pitfalls in the Evaluation of Uncertainty Estimation Methods for Natural Language Generation
- CVPR 2026Pixels Dont Lie But Your Detector Might Bootstrapping MLLM-as-a-Judge for
- NeurIPS 2025$\texttt{BetaConform}$: Efficient MAP Estimation of LLM Ensemble Judgment Performance with Prior Transfer
- ICML 2025Active Evaluation Acquisition for Efficient LLM Benchmarking
- ICLR 2025An Empirical Analysis of Uncertainty in Large Language Model Evaluations
- CVPR 2025ASHiTA: Automatic Scene-grounded HIerarchical Task Analysis
- NeurIPS 2024BertaQA: How Much Do Language Models Know About Local Culture?
- ICML 2024CHAI: Clustered Head Attention for Efficient LLM Inference
- ICLR 2024PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
- NeurIPS 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
- ICML 2023SAM operates far from home: eigenvalue regularization as a dynamical phenomenon
- ICLR 2023On the complexity of nonsmooth automatic differentiation
- NeurIPS 2026A Stratified Multi-Rater Evaluation of LLM-Based Virtual Standardized Patients with a Deployed Data-Generation Platform
- ICML 2026Are LLM Evaluators Really Narcissists? Sanity Checking Self-Preference Evaluations
- ICLR 2026AutoMetrics: Approximate Human Judgments with Automatically Generated Evaluators
- CVPR 20263DrawAgent Teaching LLM to Draw in 3D with Early Contrastive
- NeurIPS 2025Adaptive Prediction-Powered AutoEval with Reliability and Efficiency Guarantees
- ICML 2025Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators
全部模型即裁判论文
共 27 篇，第 1 / 1 页
- NeurIPS 2024Accuracy is Not All You Need
- NeurIPS 2024AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents
- NeurIPS 2024Apathetic or Empathetic? Evaluating LLMs' Emotional Alignments with Humans
- NeurIPS 2024Automatic Outlier Rectification via Optimal Transport
- NeurIPS 2024AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning
- NeurIPS 2024Benchmarking Complex Instruction-Following with Multiple Constraints Composition
- NeurIPS 2024BertaQA: How Much Do Language Models Know About Local Culture?
- NeurIPS 2024CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses
- NeurIPS 2024CriticEval: Evaluating Large-scale Language Model as Critic
- NeurIPS 2024Efficient multi-prompt evaluation of LLMs
- NeurIPS 2024Enhancing LLM’s Cognition via Structurization
- NeurIPS 2024Evaluating Copyright Takedown Methods for Language Models
- NeurIPS 2024Exploiting LLM Quantization
- NeurIPS 2024IDGen: Item Discrimination Induced Prompt Generation for LLM Evaluation
- NeurIPS 2024IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering
- NeurIPS 2024Large Language Models' Expert-level Global History Knowledge Benchmark (HiST-LLM)
- NeurIPS 2024Learn To be Efficient: Build Structured Sparsity in Large Language Models
- NeurIPS 2024LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems
- NeurIPS 2024MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures
- NeurIPS 2024On scalable oversight with weak LLMs judging strong LLMs
- NeurIPS 2024Prediction-Powered Ranking of Large Language Models
- NeurIPS 2024ReMoDetect: Reward Models Recognize Aligned LLM's Generations
- NeurIPS 2024Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
- NeurIPS 2024Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training
- NeurIPS 2024Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning
- NeurIPS 2024The Art of Saying No: Contextual Noncompliance in Language Models
- 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"}
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。