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

544 papers, page 5 of 11

201. NeurIPS 2026Confidence Estimation via Decoupled Smoothing for Dynamic LLM Routing and Aggregation
202. NeurIPS 2026Consolidating Rewarded Perturbations for LLM Post-Training
203. NeurIPS 2026ContractBench: Can LLM Agents Preserve Observation Contracts?
204. NeurIPS 2026Contrastive Representation Shaping for LLM Unlearning
205. NeurIPS 2026Correlation-Aware Contextual Bandits with Surrogate Rewards for LLM Routing
206. NeurIPS 2026CurveRL: Principled Distribution-Aware Context Reweighting for LLM Reasoning
207. NeurIPS 2026DAPS: Dependency-Aware Premise Selection for LLM Theorem Proving
208. NeurIPS 2026Decentralized Aggregation of LLM Predictions via Wagering Mechanisms
209. NeurIPS 2026Demystifying Numerical Errors in LLM Inference: Achieving Reproducible Inference for Mission-Critical Tasks with HEAL
210. NeurIPS 2026DICE: Decoupling Capability from Intervention Necessity in LLM Tutoring
211. NeurIPS 2026Differential Item Functioning as an Item-Level Diagnostic for LLM Benchmarks
212. NeurIPS 2026DistDebug-Bench: Can LLM Agents Diagnose Bugs in Distributed Systems?
213. NeurIPS 2026Don't Always Pick the Highest-Performing Model: An Information Theoretic View of LLM Ensemble Selection
214. NeurIPS 2026Efficient Evaluation of LLM Performance with Statistical Guarantees
215. NeurIPS 2026Efficient Gradient-Aware Asynchronous Reinforcement Learning for LLM Post-Training
216. NeurIPS 2026ENGINE: Endogenous Variational MultiScale Optimization for Zeroth-Order LLM Fine-Tuning
217. NeurIPS 2026Evaluating Physical Reasoning in LLM Agents Requires Construction Benchmarks
218. NeurIPS 2026Every Bit, Everywhere, All At Once: A Binomial Multibit LLM Watermark
219. NeurIPS 2026Fast-dLLM++: Fr\'{e}chet Profile Decoding for Faster Diffusion LLM Inference
220. NeurIPS 2026FEP-Agent: Grounding LLM Agent Self-Evolution in Active Inference with Semantic Memory
221. NeurIPS 2026Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing
222. NeurIPS 2026Forced Deferral: Manipulating Routing Decisions in Multimodal LLM Cascades
223. NeurIPS 2026Forced Orders: What LLM Leaderboards Hide About Model Comparisons
224. NeurIPS 2026From Chats to Markets: AgenticPay for LLM-Powered Negotiation in Multi-Agent Commerce
225. NeurIPS 2026From History to State: Constant-Context Skill Learning for LLM Agents
226. NeurIPS 2026From Infrastructure to Interface, the AI Value Chain Drives LLM Homogenization
227. NeurIPS 2026From Local Skills to Long-Horizon Tasks: Progressive Skill Exploration for LLM Web Agents
228. NeurIPS 2026From Reasoning Chains to Verifiable Subproblems: Curriculum Reinforcement Learning Enables Credit Assignment for LLM Reasoning
229. NeurIPS 2026From Talking Words to Sharing Thoughts: Scalable Multi-LLM Aggregation via Structured Message Passing
230. NeurIPS 2026From Walls to Synergy: A Joint LLM-Evolution Framework for MILP Solvers
231. NeurIPS 2026GraphInstruct: A Progressive Benchmark for Diagnosing Capability Gaps in LLM Graph Generation
232. NeurIPS 2026GroupMemBench: Benchmarking LLM Agent Memory in Multi-Party Conversations
233. NeurIPS 2026HARP: Training-Free Dual-Profile Agentic Communication for LLM-Based Recommendation
234. NeurIPS 2026Hidden Positives: Why Code Retrieval Benchmarks Underestimate Model Quality
235. NeurIPS 2026HireWatch: Evaluating LLM Compliance with U.S. Employment Law Under Contextual Pressure
236. NeurIPS 2026Imagine3D-LLM: Teaching MLLMs to Imagine 3D Scenes Before Answering
237. NeurIPS 2026Improving LLM Final Representations with Inter-Layer Geometry
238. NeurIPS 2026Instrumental Choices: Measuring the Propensity of LLM Agents to Pursue Instrumental Behaviors
239. NeurIPS 2026Jacobian Scopes: A Unified Geometric Framework for Token-Level LLM Attributions
240. NeurIPS 2026Joint Sequence--Vocabulary Selection for Efficient LLM Distillation
241. NeurIPS 2026JuICE: A Benchmark for Evaluating LLM-Judge in Identifying Cultural Errors
242. NeurIPS 2026Knowing When to Ask: Segment-Level Credit Assignment for LLM Tool Use
243. NeurIPS 2026Learning Cost-Efficient Autoscaling for Latency-Constrained Disaggregated LLM Serving
244. NeurIPS 2026Learning What to Forget: Improving LLM Unlearning via Learned Token-Level Importance
245. NeurIPS 2026LLM Agents Already Know When to Call Tools - Even Without Reasoning
246. NeurIPS 2026LLM-AutoSciLab: Closed-Loop Scientific Law Discovery via Active Experimentation with LLMs
247. NeurIPS 2026LLM-Enhanced Random Forests in Orthogonal Hyperbolic Subspaces for Tabular Learning
248. NeurIPS 2026MAGE: All-[MASK] Block Already Knows Where to Look in Block Diffusion LLM
249. NeurIPS 2026Measuring Collapse and Correction in Homogeneous-Panel LLM Debate
250. NeurIPS 2026MemeEconomy : Do LLM Agents Trade Ethics for Survival?

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.