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 126 篇,第 1 / 3 页
- CVPR 2025ASHiTA: Automatic Scene-grounded HIerarchical Task Analysis
- CVPR 2025LLaVA-Critic: Learning to Evaluate Multimodal Models
- CVPR 2025Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model
- ICLR 2025A Statistical Framework for Ranking LLM-based Chatbots
- ICLR 2025AgentSquare: Automatic LLM Agent Search in Modular Design Space
- ICLR 2025An Empirical Analysis of Uncertainty in Large Language Model Evaluations
- ICLR 2025BadJudge: Backdoor Vulnerabilities of LLM-As-A-Judge
- ICLR 2025Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback
- ICLR 2025Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge
- ICLR 2025Catastrophic Failure of LLM Unlearning via Quantization
- ICLR 2025Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates
- ICLR 2025Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection
- ICLR 2025Controlled LLM Decoding via Discrete Auto-regressive Biasing
- ICLR 2025Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents
- ICLR 2025Do LLMs have Consistent Values?
- ICLR 2025GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation
- ICLR 2025HShare: Fast LLM Decoding by Hierarchical Key-Value Sharing
- ICLR 2025Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment
- ICLR 2025JudgeBench: A Benchmark for Evaluating LLM-Based Judges
- ICLR 2025Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge
- ICLR 2025Language Model Alignment in Multilingual Trolley Problems
- ICLR 2025Language Models Are Implicitly Continuous
- ICLR 2025Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation
- ICLR 2025Learning LLM-as-a-Judge for Preference Alignment
- ICLR 2025Limits to scalable evaluation at the frontier: LLM as judge won’t beat twice the data
- ICLR 2025LiveBench: A Challenging, Contamination-Limited LLM Benchmark
- ICLR 2025On Calibration of LLM-based Guard Models for Reliable Content Moderation
- ICLR 2025Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages
- ICLR 2025Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models
- ICLR 2025Progressive Mixed-Precision Decoding for Efficient LLM Inference
- ICLR 2025RevisEval: Improving LLM-as-a-Judge via Response-Adapted References
- ICLR 2025RMB: Comprehensively benchmarking reward models in LLM alignment
- ICLR 2025RocketEval: Efficient automated LLM evaluation via grading checklist
- ICLR 2025SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators
- ICLR 2025Selective Attention Improves Transformer
- ICLR 2025SpinQuant: LLM Quantization with Learned Rotations
- ICLR 2025SqueezeAttention: 2D Management of KV-Cache in LLM Inference via Layer-wise Optimal Budget
- ICLR 2025Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking
- ICLR 2025ToolACE: Winning the Points of LLM Function Calling
- ICLR 2025Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement
- ICML 2025Accelerating Unbiased LLM Evaluation via Synthetic Feedback
- ICML 2025Active Evaluation Acquisition for Efficient LLM Benchmarking
- ICML 2025Agent-as-a-Judge: Evaluate Agents with Agents
- ICML 2025am-ELO: A Stable Framework for Arena-based LLM Evaluation
- ICML 2025Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle
- ICML 2025BaWA: Automatic Optimizing Pruning Metric for Large Language Models with Balanced Weight and Activation
- ICML 2025Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression
- ICML 2025Copilot Arena: A Platform for Code LLM Evaluation in the Wild
- ICML 2025CoSER: Coordinating LLM-Based Persona Simulation of Established Roles
- ICML 2025Demystifying Singular Defects in Large 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。