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
61 papers, page 1 of 2
- CVPR 2024Honeybee: Locality-enhanced Projector for Multimodal LLM
- CVPR 2024Koala: Key Frame-Conditioned Long Video-LLM
- CVPR 2024Self-correcting LLM-controlled Diffusion Models
- ICLR 2024BEND: Benchmarking DNA Language Models on Biologically Meaningful Tasks
- ICLR 2024Can LLM-Generated Misinformation Be Detected?
- ICLR 2024ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate
- ICLR 2024Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals
- ICLR 2024LLM-Assisted Code Cleaning For Training Accurate Code Generators
- ICLR 2024LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
- 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 2024SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models
- ICLR 2024Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds
- ICLR 2024The LLM Surgeon
- ICLR 2024To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination
- ICML 2024An LLM Compiler for Parallel Function Calling
- ICML 2024Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs
- ICML 2024Auto-Encoding Morph-Tokens for Multimodal LLM
- ICML 2024Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
- ICML 2024Characterizing ResNet's Universal Approximation Capability
- ICML 2024CLLMs: Consistency Large Language Models
- ICML 2024Embodied CoT Distillation From LLM To Off-the-shelf Agents
- ICML 2024ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking
- ICML 2024Executable Code Actions Elicit Better LLM Agents
- ICML 2024Exploring the LLM Journey from Cognition to Expression with Linear Representations
- ICML 2024Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study
- ICML 2024LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning
- ICML 2024LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
- ICML 2024Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
- 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 2024Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents
- ICML 2024SparQ Attention: Bandwidth-Efficient LLM Inference
- NeurIPS 2024Cascade Speculative Drafting for Even Faster LLM Inference
- NeurIPS 2024DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
- NeurIPS 2024Distributional Preference Alignment of LLMs via Optimal Transport
- NeurIPS 2024EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries
- NeurIPS 2024Enhancing LLM’s Cognition via Structurization
- NeurIPS 2024Evaluating Copyright Takedown Methods for Language Models
- NeurIPS 2024Exploiting LLM Quantization
- NeurIPS 2024Gorilla: Large Language Model Connected with Massive APIs
- NeurIPS 2024HYDRA: Model Factorization Framework for Black-Box LLM Personalization
- NeurIPS 2024IaC-Eval: A Code Generation Benchmark for Cloud Infrastructure-as-Code Programs
- NeurIPS 2024Large Language Models' Expert-level Global History Knowledge Benchmark (HiST-LLM)
- NeurIPS 2024LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language
- NeurIPS 2024LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems
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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.