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
166 papers, page 2 of 4
- ICLR 2026Metis: Training LLMs with FP4 Quantization
- ICLR 2026Mix-Ecom: Towards Mixed-Type E-Commerce Dialogues with Complex Domain Rules
- ICLR 2026NetArena: Dynamically Generated LLM Benchmarks for Network Applications
- ICLR 2026NewtonBench: Benchmarking Generalizable Scientific Law Discovery in LLM Agents
- ICLR 2026No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping
- ICLR 2026On Entropy Control in LLM-RL Algorithms
- ICLR 2026Operationalizing Data Minimization for Privacy-Preserving LLM Prompting
- ICLR 2026PersonaX: Multimodal Datasets with LLM-Inferred Behavior Traits
- ICLR 2026PILOT-Bench: Probabilistic Interaction for LLM Operations in Tool-driven Scenarios
- ICLR 2026Preference Leakage: A Contamination Problem in LLM-as-a-judge
- ICLR 2026Prompt Curriculum Learning for Efficient LLM Post-Training
- ICLR 2026Randomization Boosts KV Caching, Learning Balances Query Load: A Joint Perspective
- ICLR 2026Randomized Antipodal Search Done Right for Data Pareto Improvement of LLM Unlearning
- ICLR 2026Rating Quality of Diverse Time Series Data by Meta-learning from LLM Judgment
- ICLR 2026RCPU: Rotation-Constrained Error Compensation for Structured Pruning of a Large Language Model
- ICLR 2026Reasoning Scaffolding: Distilling the Flow of Thought from LLMs
- ICLR 2026Rectifying LLM Thought from Lens of Optimization
- ICLR 2026RedSage: A Cybersecurity Generalist LLM
- ICLR 2026RefineBench: Evaluating Refinement Capability in Language Models
- ICLR 2026Rethinking Residual Errors in Compensation-based LLM Quantization
- ICLR 2026Revisiting Parameter Server in LLM Post-Training
- ICLR 2026Revisiting the Scaling Properties of Downstream Metrics in Large Language Model Training
- ICLR 2026RL makes MLLMs see better than SFT
- ICLR 2026RouterArena: An Open Platform for Comprehensive Comparison of LLM Routers
- ICLR 2026Scheduling Your LLM Reinforcement Learning with Reasoning Trees
- ICLR 2026SeedPrints: Fingerprints Can Even Tell Which Seed Your Large Language Model Was Trained From
- ICLR 2026SelfReflect: Can LLMs Communicate Their Internal Answer Distribution?
- ICLR 2026Semantic Regexes: Auto-Interpreting LLM Features with a Structured Language
- ICLR 2026Semantic-Aware Diffusion LLM Inference With Adaptive Block Size
- ICLR 2026SigLIP-HD by Fine-to-Coarse Supervision
- ICLR 2026SK2Decompile: LLM-based Two-Phase Binary Decompilation from Skeleton to Skin
- ICLR 2026Solving the Granularity Mismatch: Hierarchical Preference Learning for Long-Horizon LLM Agents
- ICLR 2026SpareTrain: Fault-Tolerant LLM Training via Low-Cost Dual Modular Redundancy
- ICLR 2026Stabilizing Policy Gradients for Sample-Efficient Reinforcement Learning in LLM Reasoning
- ICLR 2026Taming the Fragility of KV Cache Eviction in LLM Inference
- ICLR 2026Temperature as a Meta-Policy: Adaptive Temperature in LLM Reinforcement Learning
- ICLR 2026Textual Bayes: Quantifying Uncertainty in LLM-Based Systems
- ICLR 2026The Geometry of LLM Quantization: GPTQ as Babai's Nearest Plane Algorithm
- ICLR 2026The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas
- ICLR 2026The Mind's Transformer: Computational Neuroanatomy of LLM-Brain Alignment
- ICLR 2026The Unseen Frontier: Pushing the Limits of LLM Sparsity with Surrogate-Free ADMM
- ICLR 2026To Compress or Not? Pushing the Frontier of Lossless GenAI Model Weights Compression with Exponent Concentration
- ICLR 2026Towards Multimodal Data-Driven Scientific Discovery Powered by LLM Agents
- ICLR 2026TRAJECT-Bench:A Trajectory-Aware Benchmark for Evaluating Agentic Tool Use
- ICLR 2026Translation Heads: Unveiling Attention's Role in LLM Multilingual Translation
- ICLR 2026Trinity: An Evolved LLM Coordinator
- ICLR 2026TSM-Bench: Detecting LLM-Generated Text in Real-World Wikipedia Editing Practices
- ICLR 2026Universal Model Routing for Efficient LLM Inference
- ICLR 2026Watch your steps: Dormant Adversarial Behaviors that Activate upon LLM Finetuning
- ICLR 2026When Greedy Wins: Emergent Exploitation Bias in Meta-Bandit LLM Training
Ask about this trend from Claude or Cursor
Connect the Paperlist MCP and your assistant can pull the numbers on this page while you draft a survey, pick a direction or plan a submission: papers per year and venue, growth, the fastest-rising sub-themes and representative papers, shaped around your question.
Copy this prompt into your assistant
Use paperlist to show how LLM Benchmarks papers grew at NeurIPS from 2023 to 2026, and which year jumped the most.
Tool the assistant calls: get_topic_stats {"topic": "llm-benchmarks"}
Set up Paperlist MCP in two minutes (Claude Code, Cursor, Codex, ChatGPT)
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.