LLM Benchmarks papers, 2023–2026
Capability benchmarks
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 544 papers are tagged with this topic.
Key findings
- LLM Benchmarks went from 2 papers in 2023 to 307 in 2026, roughly 154x in three years.
- NeurIPS publishes the most LLM Benchmarks work: 256 papers from 2023 to 2026, 47% of the four-venue total.
- The fastest-growing overlap is with AI Agents: papers tagged with both rose from 1 in 2023 to 116 in 2026.
- Among the 5 topics under Evaluation and Benchmarks, it ranks #1 by 2026 paper count; the fastest grower in the group, LLM-as-Judge, is up 27x versus 154x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 2 | 0 | 0 | 0 | 2 |
| 2024 | 24 | 13 | 21 | 3 | 61 |
| 2025 | 92 | 50 | 24 | 8 | 174 |
| 2026 | 138 | 103 | 60 | 6 | 307 |
Representative papers
Spread across years and venues so every edition shows up
- NeurIPS 2026A Free Lunch in LLM Compression: Revisiting Retraining after Pruning
- ICML 2026Controlled LLM Training on Spectral Sphere
- ICLR 2026Hey, That's My Model! Introducing Chain & Hash, An LLM Fingerprinting Technique
- CVPR 20263DrawAgent Teaching LLM to Draw in 3D with Early Contrastive
- NeurIPS 2025ACCO: Accumulate While You Communicate for Communication-Overlapped Sharded LLM Training
- ICML 2025Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM’s Reasoning Capability
- ICLR 2025Catastrophic Failure of LLM Unlearning via Quantization
- CVPR 2025Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model
- NeurIPS 2024Large Language Models' Expert-level Global History Knowledge Benchmark (HiST-LLM)
- ICML 2024Characterizing ResNet's Universal Approximation Capability
- ICLR 2024Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals
- CVPR 2024Koala: Key Frame-Conditioned Long Video-LLM
- NeurIPS 2023Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing
- NeurIPS 2026Accelerating LLM Pre-Training through Flat-Direction Dynamics Enhancement
- ICML 2026LLM Priors for ERM over Programs
- ICLR 2026How Learning Rate Decay Wastes Your Best Data in Curriculum-Based LLM Pretraining
- CVPR 20263D-VCD Hallucination Mitigation in 3D-LLM Embodied Agents through Visual Contrastive
- NeurIPS 2025BrainEC-LLM: Brain Effective Connectivity Estimation by Multiscale Mixing LLM
- ICML 2025Position: Medical Large Language Model Benchmarks Should Prioritize Construct Validity
- ICLR 2025Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates
All LLM Benchmarks papers
50 papers, page 1 of 1
- ICLR 2025AI Sandbagging: Language Models can Strategically Underperform on Evaluations
- ICLR 2025An Empirical Analysis of Uncertainty in Large Language Model Evaluations
- ICLR 2025Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback
- ICLR 2025BingoGuard: LLM Content Moderation Tools with Risk Levels
- 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 2025Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
- ICLR 2025Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling
- ICLR 2025Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents
- ICLR 2025Do LLMs have Consistent Values?
- ICLR 2025Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs
- ICLR 2025DON’T STOP ME NOW: EMBEDDING BASED SCHEDULING FOR LLMS
- ICLR 2025ELICIT: LLM Augmentation Via External In-context Capability
- ICLR 2025Faster Cascades via Speculative Decoding
- ICLR 2025ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities
- ICLR 2025Fourier Head: Helping Large Language Models Learn Complex Probability Distributions
- ICLR 2025From Commands to Prompts: LLM-based Semantic File System for AIOS
- ICLR 2025GameArena: Evaluating LLM Reasoning through Live Computer Games
- ICLR 2025Herald: A Natural Language Annotated Lean 4 Dataset
- ICLR 2025HShare: Fast LLM Decoding by Hierarchical Key-Value Sharing
- ICLR 2025Improving Large Language Model Planning with Action Sequence Similarity
- ICLR 2025Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning
- ICLR 2025Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy
- ICLR 2025Language Models Are Implicitly Continuous
- ICLR 2025Large Language Models can Become Strong Self-Detoxifiers
- ICLR 2025Law of the Weakest Link: Cross Capabilities of Large Language Models
- ICLR 2025Lawma: The Power of Specialization for Legal Annotation
- ICLR 2025LiveBench: A Challenging, Contamination-Limited LLM Benchmark
- ICLR 2025LLM Unlearning via Loss Adjustment with Only Forget Data
- ICLR 2025Logical Consistency of Large Language Models in Fact-Checking
- ICLR 2025MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning
- ICLR 2025Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models
- ICLR 2025On Calibration of LLM-based Guard Models for Reliable Content Moderation
- ICLR 2025Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models
- ICLR 2025PhyloLM: Inferring the Phylogeny of Large Language Models and Predicting their Performances in Benchmarks
- ICLR 2025RevisEval: Improving LLM-as-a-Judge via Response-Adapted References
- ICLR 2025Robotouille: An Asynchronous Planning Benchmark for LLM Agents
- ICLR 2025SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators
- ICLR 2025Selective Attention Improves Transformer
- ICLR 2025SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal
- ICLR 2025SpinQuant: LLM Quantization with Learned Rotations
- ICLR 2025SqueezeAttention: 2D Management of KV-Cache in LLM Inference via Layer-wise Optimal Budget
- ICLR 2025StringLLM: Understanding the String Processing Capability of Large Language Models
- ICLR 2025Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking
- ICLR 2025TODO: Enhancing LLM Alignment with Ternary Preferences
- ICLR 2025ToolACE: Winning the Points of LLM Function Calling
- ICLR 2025Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective
- ICLR 2025Trajectory-LLM: A Language-based Data Generator for Trajectory Prediction in Autonomous Driving
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FAQ
- How many LLM Benchmarks papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 544 in total: 2 in 2023, 61 in 2024, 174 in 2025, 307 in 2026.
- How many LLM Benchmarks papers are at NeurIPS 2026?
- NeurIPS 2026 has 138 LLM Benchmarks papers, versus 92 the year before.
- How many LLM Benchmarks papers are at ICLR 2026?
- ICLR 2026 has 103 LLM Benchmarks papers, versus 50 the year before.
- How many LLM Benchmarks papers are at ICML 2026?
- ICML 2026 has 60 LLM Benchmarks papers, versus 24 the year before.
- How many LLM Benchmarks papers are at CVPR 2026?
- CVPR 2026 has 6 LLM Benchmarks papers, versus 8 the year before.
- Which conference publishes the most LLM Benchmarks papers?
- NeurIPS, with 256 papers from 2023 to 2026.