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 219 篇,第 3 / 5 页
- ICML 2026LLM Watermark Evasion via Bias Inversion
- ICML 2026LLM-based Embeddings: Attention Values Encode Sentence Semantics Better Than Hidden States
- ICML 2026Margin-Adaptive Confidence Ranking for Reliable LLM Judgement
- ICML 2026Mitigating Perceptual Judgment Bias in Multimodal LLM-as-a-Judge via Perceptual Perturbation and Reward Modeling
- ICML 2026Mitigating Translationese Bias in Multilingual LLM-as-a-Judge via Disentangled Information Bottleneck
- ICML 2026No Free Lunch: Non-Asymptotic Analysis of Prediction-Powered Inference
- ICML 2026Nonparametric LLM Evaluation from Preference Data
- ICML 2026On the Limits of LLM Adaptability: Impact of Model-Internalized Priors on Annotation Task Performance
- ICML 2026Order Matters: Unveiling the Hidden Impact of Macro Placement Sequences via Proxy-Guided LLM Evolution
- ICML 2026PPDL: LLM-Based Flows as Probabilistic Programs
- ICML 2026PPT-Eval: A Benchmark for Computer-Use Agents on PowerPoint Tasks
- ICML 2026Prediction-Powered Risk Monitoring of Deployed Models for Detecting Harmful Distribution Shifts
- ICML 2026Pressure Reveals Character: Behavioural Alignment Evaluation at Depth
- ICML 2026ProbeLLM: Automating Principled Diagnosis of LLM Failures
- ICML 2026ProtocolBench: Which LLM MultiAgent Protocol to Choose?
- ICML 2026Quantifying Biases in LLM-as-a-Judge Evaluations
- ICML 2026Quartet II: Accurate LLM Pre-Training in NVFP4 by Improved Unbiased Gradient Estimation
- ICML 2026REAL: Regression-Aware Reinforcement Learning for LLM-as-a-Judge
- ICML 2026Reasoning Is Not Free: Robust Adaptive Cost-Efficient Routing for LLM-as-a-Judge
- ICML 2026Reward Modeling from Natural Language Human Feedback
- ICML 2026RLCracker: Evaluating the Worst-Case Vulnerability of LLM Watermarks with Adaptive RL Attacks
- ICML 2026SCOPE: Selective Conformal Optimized Pairwise LLM Judging
- ICML 2026Security--Fidelity Tradeoffs: The Hidden Cost of Prompt Injection Defense
- ICML 2026SelfJudge: Faster Speculative Decoding via Self-Supervised Judge Verification
- ICML 2026SpreadsheetArena: Decomposing Preference in LLM Generation of Spreadsheet Workbooks
- ICML 2026Talk, Judge, Cooperate: Gossip-Driven Indirect Reciprocity in Self-Interested LLM Agents
- ICML 2026Training-Free Hashing-Based Attention via Binary Principal Components
- ICML 2026Turning Bias into Bugs: Bandit-Guided Style Manipulation Attacks on LLM Judges
- ICML 2026UniRRM: Unified Reasoning Reward Models Across Languages and Evaluation Paradigms
- ICML 2026Who can we trust? LLM-as-a-jury for Comparative Assessment
- ICML 2026Zero-source LLM Hallucination Detection with Human-like Criteria Probing
- NeurIPS 20263D-PLOT-LLM: Part-Level Object Tokens for 3D Large Language Models
- NeurIPS 2026A Free Lunch in LLM Compression: Revisiting Retraining after Pruning
- NeurIPS 2026A Stratified Multi-Rater Evaluation of LLM-Based Virtual Standardized Patients with a Deployed Data-Generation Platform
- NeurIPS 2026Accelerating LLM Pre-Training through Flat-Direction Dynamics Enhancement
- NeurIPS 2026ADAPT: Hybrid Prompt Optimization for LLM Feature Visualization
- NeurIPS 2026AdvJudge-Zero: Binary Decision Flips in LLM-as-a-Judge via Adversarial Control Tokens
- NeurIPS 2026AgentAbstain: Do LLM Agents Know When Not to Act?
- NeurIPS 2026Alignment Is Not Enough for Safe Medical LLM Evaluation
- NeurIPS 2026Are LLM Safety Judges Policy-Invariant? A Three-Principle Stress-Test
- NeurIPS 2026Ask in the Crowd: Differentially Private LLM Inference via Dummy-Augmented Shuffling
- NeurIPS 2026ASPI: Seeking Ambiguity Clarification Amplifies Prompt Injection Vulnerability in LLM Agents
- NeurIPS 2026Auditing the Judge: Human-Grounded Bias Discovery, Quantification, and Mitigation in LLM Judges
- NeurIPS 2026Autoregressive Diffusion World Models for Off-Policy Evaluation of LLM Agents
- NeurIPS 2026BayesJudge: Uncertainty-Aware Bayesian Meta-Evaluation of Human and LLM Judgments
- NeurIPS 2026Benchmarks Are Not Atomic: Composition-Aware LLM Evaluation using BenchHub
- NeurIPS 2026Block-OBS-GS: Exact Per-Block Joint Brain Surgery with Gauss–Seidel Refinement for LLM Pruning
- NeurIPS 2026BMAttn: Block-Aligned Mixed-Precision Attention Quantization for LLM Inference
- NeurIPS 2026Can an LLM Reason Like a Lawyer? Benchmarking the ability of LLMs to map the facts of a case to the elements of the applicable legal rule
- NeurIPS 2026CapTrack: Multifaceted Evaluation of Forgetting in LLM Post-Training
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。