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 7 of 9
- NeurIPS 2025BrainEC-LLM: Brain Effective Connectivity Estimation by Multiscale Mixing LLM
- NeurIPS 2025Bridging Human and LLM Judgments: Understanding and Narrowing the Gap
- NeurIPS 2025Comparison requires valid measurement: Rethinking attack success rate comparisons in AI red teaming
- NeurIPS 2025Correlation Dimension of Autoregressive Large Language Models
- NeurIPS 2025Cost-aware LLM-based Online Dataset Annotation
- NeurIPS 2025Distributional LLM-as-a-Judge
- NeurIPS 2025Do Automatic Factuality Metrics Measure Factuality? A Critical Evaluation
- NeurIPS 2025Do Language Models Use Their Depth Efficiently?
- NeurIPS 2025Enhancing Multilingual LLM Pretraining with Model-Based Data Selection
- NeurIPS 2025Evaluating LLM-contaminated Crowdsourcing Data Without Ground Truth
- NeurIPS 2025Flex-Judge: Text-Only Reasoning Unleashes Zero-Shot Multimodal Evaluators
- NeurIPS 2025From Replication to Redesign: Exploring Pairwise Comparisons for LLM-Based Peer Review
- NeurIPS 2025GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling
- NeurIPS 2025HyGen: Efficient LLM Serving via Elastic Online-Offline Request Co-location
- NeurIPS 2025KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation
- NeurIPS 2025Less is More: Improving LLM Alignment via Preference Data Selection
- NeurIPS 2025Let the LLM Stick to Its Strengths: Learning to Route Economical LLM
- NeurIPS 2025LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming?
- NeurIPS 2025Lua-LLM: Learning Unstructured-Sparsity Allocation for Large Language Models
- NeurIPS 2025Martingale Score: An Unsupervised Metric for Bayesian Rationality in LLM Reasoning
- NeurIPS 2025Masked Gated Linear Unit
- NeurIPS 2025MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants
- NeurIPS 2025metaTextGrad: Automatically optimizing language model optimizers
- NeurIPS 2025MODEL SHAPLEY: Find Your Ideal Parameter Player via One Gradient Backpropagation
- NeurIPS 2025MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search
- NeurIPS 2025Multi-Agent Debate for LLM Judges with Adaptive Stability Detection
- NeurIPS 2025On Evaluating LLM Alignment by Evaluating LLMs as Judges
- NeurIPS 2025PARALLELPROMPT: Extracting Parallelism from Large Language Model Queries
- NeurIPS 2025Permissioned LLMs: Enforcing Access Control in Large Language Models
- NeurIPS 2025Position: Benchmarking is Broken - Don't Let AI be Its Own Judge
- NeurIPS 2025Predicting Empirical AI Research Outcomes with Language Models
- NeurIPS 2025QuadEnhancer: Leveraging Quadratic Transformations to Enhance Deep Neural Networks
- NeurIPS 2025Reparameterized LLM Training via Orthogonal Equivalence Transformation
- NeurIPS 2025Reverse Engineering Human Preferences with Reinforcement Learning
- NeurIPS 2025SEC-bench: Automated Benchmarking of LLM Agents on Real-World Software Security Tasks
- NeurIPS 2025Set-LLM: A Permutation-Invariant LLM
- NeurIPS 2025SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines
- NeurIPS 2025The Fragile Truth of Saliency: Improving LLM Input Attribution via Attention Bias Optimization
- NeurIPS 2025The Leaderboard Illusion
- NeurIPS 2025The Lighthouse of Language: Enhancing LLM Agents via Critique-Guided Improvement
- NeurIPS 2025Towards Fully FP8 GEMM LLM Training at Scale
- NeurIPS 2025Towards Reliable LLM-based Robots Planning via Combined Uncertainty Estimation
- NeurIPS 2025URLs Help, Topics Guide: Understanding Metadata Utility in LLM Training
- NeurIPS 2025Validating LLM-as-a-Judge Systems under Rating Indeterminacy
- NeurIPS 2025Your Pre-trained LLM is Secretly an Unsupervised Confidence Calibrator
- ICLR 2024An LLM can Fool Itself: A Prompt-Based Adversarial Attack
- ICLR 2024ARGS: Alignment as Reward-Guided Search
- ICLR 2024BEND: Benchmarking DNA Language Models on Biologically Meaningful Tasks
- ICLR 2024Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain
- ICLR 2024Can LLM-Generated Misinformation Be Detected?
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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.