LLM-as-Judge papers, 2023–2026
Automatic evaluation
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 401 papers are tagged with this topic.
Key findings
- LLM-as-Judge went from 8 papers in 2023 to 219 in 2026, roughly 27x in three years.
- NeurIPS publishes the most LLM-as-Judge work: 173 papers from 2023 to 2026, 43% of the four-venue total.
- The fastest-growing overlap is with AI Agents: papers tagged with both rose from 1 in 2023 to 78 in 2026.
- Among the 5 topics under Evaluation and Benchmarks, it ranks #2 by 2026 paper count; the fastest grower in the group, LLM Benchmarks, is up 154x versus 27x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 5 | 1 | 2 | 0 | 8 |
| 2024 | 27 | 12 | 9 | 0 | 48 |
| 2025 | 53 | 37 | 33 | 3 | 126 |
| 2026 | 88 | 62 | 64 | 5 | 219 |
Representative papers
Spread across years and venues so every edition shows up
- 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
All LLM-as-Judge papers
401 papers, page 8 of 9
- ICLR 2024Generative Judge for Evaluating Alignment
- ICLR 2024On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs
- ICLR 2024PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
- ICLR 2024PB-LLM: Partially Binarized Large Language Models
- ICLR 2024Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models
- ICLR 2024The LLM Surgeon
- ICLR 2024To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination
- ICML 2024CHAI: Clustered Head Attention for Efficient LLM Inference
- ICML 2024ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking
- ICML 2024MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark
- ICML 2024MuxServe: Flexible Spatial-Temporal Multiplexing for Multiple LLM Serving
- ICML 2024NExT-GPT: Any-to-Any Multimodal LLM
- ICML 2024Position: Fundamental Limitations of LLM Censorship Necessitate New Approaches
- ICML 2024Position: Key Claims in LLM Research Have a Long Tail of Footnotes
- ICML 2024Self-Rewarding Language Models
- ICML 2024SparQ Attention: Bandwidth-Efficient LLM Inference
- 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
- ICLR 2023On the complexity of nonsmooth automatic differentiation
- ICML 2023AutoCoreset: An Automatic Practical Coreset Construction Framework
- ICML 2023SAM operates far from home: eigenvalue regularization as a dynamical phenomenon
- NeurIPS 2023ClusterFomer: Clustering As A Universal Visual Learner
- NeurIPS 2023FELM: Benchmarking Factuality Evaluation of Large Language Models
- NeurIPS 2023Jailbroken: How Does LLM Safety Training Fail?
- NeurIPS 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
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FAQ
- How many LLM-as-Judge papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 401 in total: 8 in 2023, 48 in 2024, 126 in 2025, 219 in 2026.
- How many LLM-as-Judge papers are at NeurIPS 2026?
- NeurIPS 2026 has 88 LLM-as-Judge papers, versus 53 the year before.
- How many LLM-as-Judge papers are at ICLR 2026?
- ICLR 2026 has 62 LLM-as-Judge papers, versus 37 the year before.
- How many LLM-as-Judge papers are at ICML 2026?
- ICML 2026 has 64 LLM-as-Judge papers, versus 33 the year before.
- How many LLM-as-Judge papers are at CVPR 2026?
- CVPR 2026 has 5 LLM-as-Judge papers, versus 3 the year before.
- Which conference publishes the most LLM-as-Judge papers?
- NeurIPS, with 173 papers from 2023 to 2026.