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
219 papers, page 4 of 5
- NeurIPS 2026Capturing LLM Capabilities via Evidence-Calibrated Query Clustering
- NeurIPS 2026CogBench: Evaluating Cognitive-Level Control in LLM Question Generation
- NeurIPS 2026CompJudge: Fine-Grained Comparative Evaluation using Multimodal LLM for Subject-Driven Generation
- NeurIPS 2026Consolidating Rewarded Perturbations for LLM Post-Training
- NeurIPS 2026ContractBench: Can LLM Agents Preserve Observation Contracts?
- NeurIPS 2026CUDABeaver: Benchmarking LLM-Based Automated CUDA Debugging
- NeurIPS 2026CyBiasBench: Benchmarking Bias in LLM Agents for Cyber-Attack Scenarios
- NeurIPS 2026Decentralized Aggregation of LLM Predictions via Wagering Mechanisms
- NeurIPS 2026Demystifying Numerical Errors in LLM Inference: Achieving Reproducible Inference for Mission-Critical Tasks with HEAL
- NeurIPS 2026DICE: Decoupling Capability from Intervention Necessity in LLM Tutoring
- NeurIPS 2026Efficient Evaluation of LLM Performance with Statistical Guarantees
- NeurIPS 2026Every Bit, Everywhere, All At Once: A Binomial Multibit LLM Watermark
- NeurIPS 2026Forced Deferral: Manipulating Routing Decisions in Multimodal LLM Cascades
- NeurIPS 2026Forced Orders: What LLM Leaderboards Hide About Model Comparisons
- NeurIPS 2026From Infrastructure to Interface, the AI Value Chain Drives LLM Homogenization
- NeurIPS 2026From Uncertain Judgments to Calibrated Rankings: Conformal Elo Estimation for LLM Evaluation
- NeurIPS 2026Hidden Measurement Error in LLM Pipelines Distorts Annotation, Evaluation, and Benchmarking
- NeurIPS 2026HireWatch: Evaluating LLM Compliance with U.S. Employment Law Under Contextual Pressure
- NeurIPS 2026How Does Personalized Memory Shape LLM Behavior? Benchmarking Rational Preference Utilization in Personalized Assistants
- NeurIPS 2026Imagine3D-LLM: Teaching MLLMs to Imagine 3D Scenes Before Answering
- NeurIPS 2026Improving LLM Final Representations with Inter-Layer Geometry
- NeurIPS 2026Instrumental Choices: Measuring the Propensity of LLM Agents to Pursue Instrumental Behaviors
- NeurIPS 2026Jacobian Scopes: A Unified Geometric Framework for Token-Level LLM Attributions
- NeurIPS 2026JuICE: A Benchmark for Evaluating LLM-Judge in Identifying Cultural Errors
- NeurIPS 2026L2-Bench: An Evaluation Benchmark for Measuring LLM Capabilities in Second Language Education
- NeurIPS 2026Learning What to Forget: Improving LLM Unlearning via Learned Token-Level Importance
- NeurIPS 2026LensCT: Fine-Grained AI-Involved Text Detection via Temporal-Hierarchical Tomograms of LLM Internals
- NeurIPS 2026LLM Judge Validation Under Sparse Overlap: From Inference to Design
- NeurIPS 2026LLM-Auction: Generative Auction towards LLM-Native Advertising
- NeurIPS 2026MEMAUDIT: An Exact Package-Oracle Evaluation Protocol for Budgeted Long-Term LLM Memory Writing
- NeurIPS 2026Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use
- NeurIPS 2026Models Recall What They Violate: Constraint Adherence in Multi-Turn LLM Ideation
- NeurIPS 2026NeuroFaith: Evaluating Mechanistic Faithfulness of LLM Free Text Self-Explanation at the Concept Level
- NeurIPS 2026Not All Proofs Are Equal: Evaluating LLM Proof Quality Beyond Correctness
- NeurIPS 2026NuMuon: Nuclear-Norm-Constrained Muon for Compressible LLM Training
- NeurIPS 2026NyoomFloat12: Accelerating LLM Inference via Lossless 12-bit Weight Compression
- NeurIPS 2026Pacing Branch Parallelism in LLM Serving
- NeurIPS 2026RA$^2$: Retain-Anchored Attraction Preserves Forget-Adjacent Utility in LLM Unlearning
- NeurIPS 2026RAOP: Step-Level Resource Orchestration for LLM Agents across Edge and Cloud
- NeurIPS 2026RelAgent: LLM Agents as Data Scientists for Relational Learning
- NeurIPS 2026Rethinking Latency Denial-of-Service: Attack the LLM Serving Framework, Not the Model
- NeurIPS 2026Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks
- NeurIPS 2026Salvation Lies Within: Proactive Prefix Re-forming for LLM-based Tagging
- NeurIPS 2026SCDBench: A Benchmark for LLM-Based Smart Contract Decompilers
- NeurIPS 2026SchemeArena: Factorized Stress Testing of Scheming in LLM Agents
- NeurIPS 2026SCTI: Self-Calibrated Trident Identification of Black-Box LLM Watermarks
- NeurIPS 2026Self-EvolveRec: Self-Evolving Recommender Systems with LLM-based Directional Feedback
- NeurIPS 2026SkillMaster: Toward Autonomous Skill Mastery in LLM Agents
- NeurIPS 2026Social Interaction Breaks Replicate Independence in Controlled-Clone LLM Agents
- NeurIPS 2026Step-wise Rubric Rewards for LLM Reasoning
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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.