LLM Benchmarks papers, 2023–2026

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.

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

92 papers, page 1 of 2

1. NeurIPS 2025$Q\sharp$: Provably Optimal Distributional RL for LLM Post-Training
2. NeurIPS 2025Accelerating Block Coordinate Descent for LLM Finetuning via Landscape Expansion
3. NeurIPS 2025ACCO: Accumulate While You Communicate for Communication-Overlapped Sharded LLM Training
4. NeurIPS 2025Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference
5. NeurIPS 2025Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts
6. NeurIPS 2025AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems
7. NeurIPS 2025Antidistillation Sampling
8. NeurIPS 2025AutoJudge: Judge Decoding Without Manual Annotation
9. NeurIPS 2025BenchmarkCards: Standardized Documentation for Large Language Model Benchmarks
10. NeurIPS 2025Beyond Chemical QA: Evaluating LLM's Chemical Reasoning with Modular Chemical Operations
11. NeurIPS 2025BLEUBERI: BLEU is a surprisingly effective reward for instruction following
12. NeurIPS 2025Bohdi: Heterogeneous LLM Fusion with Automatic Data Exploration
13. NeurIPS 2025BrainEC-LLM: Brain Effective Connectivity Estimation by Multiscale Mixing LLM
14. NeurIPS 2025C-SEO Bench: Does Conversational SEO Work?
15. NeurIPS 2025Can Dependencies Induced by LLM-Agent Workflows Be Trusted?
16. NeurIPS 2025Causal LLM Routing: End-to-End Regret Minimization from Observational Data
17. NeurIPS 2025ComPO: Preference Alignment via Comparison Oracles
18. NeurIPS 2025ConnectomeBench: Can LLMs proofread the connectome?
19. NeurIPS 2025Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning
20. NeurIPS 2025DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization
21. NeurIPS 2025Dependency Matters: Enhancing LLM Reasoning with Explicit Knowledge Grounding
22. NeurIPS 2025DISC: Dynamic Decomposition Improves LLM Inference Scaling
23. NeurIPS 2025Distribution-Aligned Decoding for Efficient LLM Task Adaptation
24. NeurIPS 2025Do Language Models Use Their Depth Efficiently?
25. NeurIPS 2025DP-LLM: Runtime Model Adaptation with Dynamic Layer-wise Precision Assignment
26. NeurIPS 2025EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code
27. NeurIPS 2025Efficient Large Language Model Inference with Neural Block Linearization
28. NeurIPS 2025Enhancing Multilingual LLM Pretraining with Model-Based Data Selection
29. NeurIPS 2025Evaluating LLM-contaminated Crowdsourcing Data Without Ground Truth
30. NeurIPS 2025Extrapolation by Association: Length Generalization Transfer In Transformers
31. NeurIPS 2025Factorio Learning Environment
32. NeurIPS 2025FFN Fusion: Rethinking Sequential Computation in Large Language Models
33. NeurIPS 2025FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents
34. NeurIPS 2025GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling
35. NeurIPS 2025GPO: Learning from Critical Steps to Improve LLM Reasoning
36. NeurIPS 2025ICPC-Eval: Probing the Frontiers of LLM Reasoning with Competitive Programming Contests
37. NeurIPS 2025IR-OptSet: An Optimization-Sensitive Dataset for Advancing LLM-Based IR Optimizer
38. NeurIPS 2025Learning Grouped Lattice Vector Quantizers for Low-Bit LLM Compression
39. NeurIPS 2025Less is More: Improving LLM Alignment via Preference Data Selection
40. NeurIPS 2025Let the LLM Stick to Its Strengths: Learning to Route Economical LLM
41. NeurIPS 2025LLM Layers Immediately Correct Each Other
42. NeurIPS 2025LLM Meeting Decision Trees on Tabular Data
43. NeurIPS 2025LLM-DAMVC: A Large Language Model Assisted Dynamic Agent for Multi-View Clustering
44. NeurIPS 2025LLM-Explorer: A Plug-in Reinforcement Learning Policy Exploration Enhancement Driven by Large Language Models
45. NeurIPS 2025Lookahead Routing for Large Language Models
46. NeurIPS 2025LTD-Bench: Evaluating Large Language Models by Letting Them Draw
47. NeurIPS 2025Lua-LLM: Learning Unstructured-Sparsity Allocation for Large Language Models
48. NeurIPS 2025Masked Gated Linear Unit
49. NeurIPS 2025MESS+: Dynamically Learned Inference-Time LLM Routing in Model Zoos with Service Level Guarantees
50. NeurIPS 2025metaTextGrad: Automatically optimizing language model optimizers

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.