Datasets and Benchmarks papers, 2023–2026

Key findings

• Datasets and Benchmarks went from 937 papers in 2023 to 1,991 in 2026, roughly 2.1x in three years.
• NeurIPS publishes the most Datasets and Benchmarks work: 1,935 papers from 2023 to 2026, 33% of the four-venue total.
• The fastest-growing overlap is with AI Agents: papers tagged with both rose from 8 in 2023 to 194 in 2026.
• Among the 5 topics under Efficiency and Systems, it ranks #1 by 2026 paper count; the fastest grower in the group, Hardware-Aware ML, is up 4.4x versus 2.1x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A Surrogate Perspective on Convergence of Fixed-Target DQN
• ICML 2026$\mu$pscaling small models: Principled warm starts and hyperparameter transfer
• ICLR 2026**TandemFoilSet**: Datasets for Flow Field Prediction of Tandem-Airfoil Through the Reuse of Single Airfoils
• CVPR 20264DEquine Disentangling Motion and Appearance for 4D Equine Reconstruction from
• NeurIPS 2025A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design
• ICML 2025Active Evaluation Acquisition for Efficient LLM Benchmarking
• ICLR 2025$F^3Set$: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos
• CVPR 20253D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination
• NeurIPS 2024A Benchmark Dataset for Event-Guided Human Pose Estimation and Tracking in Extreme Conditions
• ICML 2024A connection between Tempering and Entropic Mirror Descent
• ICLR 2024A Benchmark Study on Calibration
• CVPR 2024Data Valuation and Detections in Federated Learning
• NeurIPS 2023$\mathbf{\mathbb{E}^{FWI}}$: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties
• ICML 2023A Picture of the Space of Typical Learnable Tasks
• ICLR 2023$\Lambda$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells
• CVPR 2023A Bag-of-Prototypes Representation for Dataset-Level Applications
• NeurIPS 2026A Theoretical Bridge Between Long-Tailed Recognition and Continual Learning
• ICML 2026A Semantically Consistent Dataset for Data-Efficient Query-Based Universal Sound Separation
• ICLR 2026A Fictional Q&A Dataset for Studying Memorization and Knowledge Acquisition
• CVPR 2026Advancing Cancer Prognosis with Hierarchical Fusion of Genomic Proteomic and

All Datasets and Benchmarks papers

1,935 papers, page 10 of 39

451. NeurIPS 2026Resolution-Aware Structural Density Peak Clustering
452. NeurIPS 2026Rethinking "RL Generalizes, SFT Memorizes": The Role of SFT Data
453. NeurIPS 2026Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets?
454. NeurIPS 2026Rethinking Long-Video Efficiency: A Joint Allocation Perspective on Frames, Pixels, and Front-End Latency
455. NeurIPS 2026Rethinking Projector Training in Multimodal LLMs
456. NeurIPS 2026Rethinking SAE Evaluation: An Atomic Interpretable Unit Framework Reveals Hidden Polysemanticity and Redundancy
457. NeurIPS 2026Rethinking XAI Evaluation: A Human-Centered Audit of Shapley Benchmarks in High-Stakes Settings
458. NeurIPS 2026Revisiting Incremental Learning: A Three-Interface Diagnosis of Stability and Plasticity
459. NeurIPS 2026Reward-Conditioned Reinforcement Learning
460. NeurIPS 2026Richer or More Gates? Fan-In Trade-offs in Learnable Logic Circuits
461. NeurIPS 2026RoadmapBench: Evaluating Long-Horizon Agentic Software Development Across Version Upgrades
462. NeurIPS 2026Robust and Hard-to-Remove GNN Watermarking via Topological Invariant Perception
463. NeurIPS 2026Robust Approximate Nearest Neighbor Search for Any Dataset
464. NeurIPS 2026Robust Domain Generalization under Divergent Marginal and Conditional Distributions
465. NeurIPS 2026Robust Satisficing Ensemble: Scalable Model Aggregation Under Distribution Shifts
466. NeurIPS 2026Robust Statistical Estimators with Bounded Empirical Sensitivity
467. NeurIPS 2026Routeability Before Routing: Routeability Audit Protocol (RAP) and RouteabilityBench for Audited LLM Model Selection
468. NeurIPS 2026RSSA: Robust Semantic and Spatial Aligner for Collaborative Perception
469. NeurIPS 2026RTCBench: Evaluating Tool Use of Large Language Models Beyond Oracle Access
470. NeurIPS 2026RTEB: An Overfitting-Resistant Benchmark for Embedding Model Evaluation
471. NeurIPS 2026RVR: Retrieve-Verify-Retrieve for Comprehensive Question Answering
472. NeurIPS 2026S&P: Towards Scalable and Powerful Graph Learning with Hierarchical Structural Acquisition
473. NeurIPS 2026S3Former: Sequential, Structural, and Statistical Fusion for Continuous-Time Dynamic Graphs
474. NeurIPS 2026Safe Actions Can Form Unsafe Traces: Benchmarking and Shielding Compositional Emergent Risk in AI Agents
475. NeurIPS 2026Safe Active Learning with Future Viability Guarantees in Time-Series Models
476. NeurIPS 2026Safe Offline Reinforcement Learning using Behavior Regularisation and Latent Feasibility-Guidance
477. NeurIPS 2026SafeDrug: A Benchmark Dataset for Safety-Critical Pharmacological Reasoning in LLMs
478. NeurIPS 2026SAGE: Semantically Disentangled Representation Learning through Latent Geometry Constraint and Large Language Model
479. NeurIPS 2026SAM 3D Animal: Promptable Animal 3D Reconstruction from Images in the Wild
480. NeurIPS 2026Same Words, Different Judgments: How Preferences Vary Across Modalities
481. NeurIPS 2026SBNO : Schrödinger Bridge Neural Operator for the Forward and Inverse Problems under Missing Information
482. NeurIPS 2026Scalable Fair Learning via Cramér-von Mises Regularization
483. NeurIPS 2026Scaling Arbitrary Architectures and Optimizers with Automatic Parameterization
484. NeurIPS 2026Scaling Genomic Language Modeling with Unified Corpus and Evaluation in Bacteria
485. NeurIPS 2026Scaling Point-in-Time Language Models: Economic Evaluation of Embeddings
486. NeurIPS 2026ScrapeGraphAI-100k: Dataset for Schema-Constrained LLM Generation
487. NeurIPS 2026Seeing Across Skies and Streets: Feedforward 3D Reconstruction from Satellite, Drone, and Ground Images
488. NeurIPS 2026Selectivity and Shape in the Design of Forward-Forward Goodness Functions
489. NeurIPS 2026Self-Evolving Agents Should Build Internal and External Models of the World
490. NeurIPS 2026Self-Recognition Finetuning can Reverse and Prevent Emergent Misalignment
491. NeurIPS 2026SeoulMMOD: A Large-Scale Multimodal Origin-Destination Flow Benchmark
492. NeurIPS 2026SGD at the Edge of Stability: The Stochastic Sharpness Gap
493. NeurIPS 2026Sharpness, Stability, and Step-Size Scaling in Deep Polynomial Networks
494. NeurIPS 2026Shepherd: A Runtime Substrate Empowering Meta-Agents with a Formalized Execution Trace
495. NeurIPS 2026Short-Context Dominance: How Much Local Context Natural Language Actually Needs?
496. NeurIPS 2026Simple Baselines are Competitive with Code Evolution
497. NeurIPS 2026Simplified Reversible Residual Networks
498. NeurIPS 2026SimSD: Simple Speculative Decoding in Diffusion Language Models
499. NeurIPS 2026Single-Pass Evidence Measurement for Interpretable and Uncertainty-Aware Multimodal Face Anti-Spoofing
500. NeurIPS 2026SkillForge: Co-Evolving Skills and Agents via Dynamic Skill Lifecycles

FAQ

How many Datasets and Benchmarks papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

5,856 in total: 937 in 2023, 1,346 in 2024, 1,582 in 2025, 1,991 in 2026.

How many Datasets and Benchmarks papers are at NeurIPS 2026?

NeurIPS 2026 has 623 Datasets and Benchmarks papers, versus 637 the year before.

How many Datasets and Benchmarks papers are at ICLR 2026?

ICLR 2026 has 635 Datasets and Benchmarks papers, versus 419 the year before.

How many Datasets and Benchmarks papers are at ICML 2026?

ICML 2026 has 275 Datasets and Benchmarks papers, versus 189 the year before.

How many Datasets and Benchmarks papers are at CVPR 2026?

CVPR 2026 has 458 Datasets and Benchmarks papers, versus 337 the year before.

Which conference publishes the most Datasets and Benchmarks papers?

NeurIPS, with 1,935 papers from 2023 to 2026.