Open-Domain QA papers, 2023–2026

Key findings

• Open-Domain QA went from 52 papers in 2023 to 62 in 2026, roughly 1.2x in three years.
• CVPR publishes the most Open-Domain QA work: 113 papers from 2023 to 2026, 46% of the four-venue total.
• The fastest-growing overlap is with Simulation for Driving: papers tagged with both rose from 2 in 2023 to 9 in 2026.
• Among the 5 topics under Information Retrieval, it ranks #3 by 2026 paper count; the fastest grower in the group, Cross-Encoder Reranking, is up 3.0x versus 1.2x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Beyond Average Flatness: Domain-wise Flatness for Domain Generalization
• ICML 2026HEDP: A Hybrid Energy-Distance Prompt-based Framework for Domain Incremental Learning
• ICLR 2026PRISM: Progressive Robust Learning for Open-World Continual Category Discovery
• CVPR 2026Enhancing Part-Level Point Grounding for Any Open-Source MLLMs
• NeurIPS 2025Continuous Domain Generalization
• ICML 2025COSDA: Counterfactual-based Susceptibility Risk Framework for Open-Set Domain Adaptation
• ICLR 2025NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks In Open Domains
• CVPR 2025Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
• NeurIPS 2024GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages
• ICML 2024DOGE: Domain Reweighting with Generalization Estimation
• ICLR 2024Domain constraints improve risk prediction when outcome data is missing
• CVPR 2024Enhancing Quality of Compressed Images by Mitigating Enhancement Bias Towards Compression Domain
• NeurIPS 2023ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram
• ICML 2023Internet Explorer: Targeted Representation Learning on the Open Web
• ICLR 2023Domain Generalization via Heckman-type Selection Models
• CVPR 2023AutoLabel: CLIP-Based Framework for Open-Set Video Domain Adaptation
• NeurIPS 2026CompleteRXN: Toward Completing Open Chemical Reaction Databases
• ICML 2026Names Don’t Matter: Symbol-Invariant Transformer for Open-Vocabulary Learning
• ICLR 2026LeRobot: An Open-Source Library for End-to-End Robot Learning
• CVPR 2026From Indoor to Open World Revealing the Spatial Reasoning Gap

All Open-Domain QA papers

52 papers, page 1 of 2

1. CVPR 2023Adjustment and Alignment for Unbiased Open Set Domain Adaptation
2. CVPR 2023AutoLabel: CLIP-Based Framework for Open-Set Video Domain Adaptation
3. CVPR 2023Coreset Sampling From Open-Set for Fine-Grained Self-Supervised Learning
4. CVPR 2023Cross-Domain 3D Hand Pose Estimation With Dual Modalities
5. CVPR 2023DATE: Domain Adaptive Product Seeker for E-Commerce
6. CVPR 2023Decompose, Adjust, Compose: Effective Normalization by Playing With Frequency for Domain Generalization
7. CVPR 2023Deep Frequency Filtering for Domain Generalization
8. CVPR 2023Domain Expansion of Image Generators
9. CVPR 2023Domain Generalized Stereo Matching via Hierarchical Visual Transformation
10. CVPR 2023Generalized UAV Object Detection via Frequency Domain Disentanglement
11. CVPR 2023HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation
12. CVPR 2023Learning Open-Vocabulary Semantic Segmentation Models From Natural Language Supervision
13. CVPR 2023Masked Representation Learning for Domain Generalized Stereo Matching
14. CVPR 2023Modality-Agnostic Debiasing for Single Domain Generalization
15. CVPR 2023Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection
16. CVPR 2023NICO++: Towards Better Benchmarking for Domain Generalization
17. CVPR 2023Open Vocabulary Semantic Segmentation With Patch Aligned Contrastive Learning
18. CVPR 2023Open-Set Representation Learning Through Combinatorial Embedding
19. CVPR 2023PLA: Language-Driven Open-Vocabulary 3D Scene Understanding
20. CVPR 2023Progressive Open Space Expansion for Open-Set Model Attribution
21. CVPR 2023Progressive Random Convolutions for Single Domain Generalization
22. CVPR 2023Rethinking Federated Learning With Domain Shift: A Prototype View
23. CVPR 2023Style Projected Clustering for Domain Generalized Semantic Segmentation
24. CVPR 2023Towards Open-World Segmentation of Parts
25. CVPR 2023Towards Professional Level Crowd Annotation of Expert Domain Data
26. ICLR 2023Domain Generalization via Heckman-type Selection Models
27. ICLR 2023Generate rather than Retrieve: Large Language Models are Strong Context Generators
28. ICLR 2023GLM-130B: An Open Bilingual Pre-trained Model
29. ICLR 2023Learning Domain-Agnostic Representation for Disease Diagnosis
30. ICLR 2023Learning Object-Language Alignments for Open-Vocabulary Object Detection
31. ICLR 2023Phenaki: Variable Length Video Generation from Open Domain Textual Descriptions
32. ICLR 2023SIMPLE: Specialized Model-Sample Matching for Domain Generalization
33. ICLR 2023The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition
34. ICML 2023Beyond In-Domain Scenarios: Robust Density-Aware Calibration
35. ICML 2023Cooperative Open-ended Learning Framework for Zero-Shot Coordination
36. ICML 2023Distribution Free Domain Generalization
37. ICML 2023Internet Explorer: Targeted Representation Learning on the Open Web
38. ICML 2023Variational Open-Domain Question Answering
39. NeurIPS 2023CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation
40. NeurIPS 2023DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining
41. NeurIPS 2023ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram
42. NeurIPS 2023Evaluating Open-QA Evaluation
43. NeurIPS 2023Extremal Domain Translation with Neural Optimal Transport
44. NeurIPS 2023FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation
45. NeurIPS 2023How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources
46. NeurIPS 2023Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search
47. NeurIPS 2023Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning
48. NeurIPS 2023Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation
49. NeurIPS 2023OpenAGI: When LLM Meets Domain Experts
50. NeurIPS 2023RealTime QA: What's the Answer Right Now?

FAQ

How many Open-Domain QA papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

244 in total: 52 in 2023, 61 in 2024, 69 in 2025, 62 in 2026.

How many Open-Domain QA papers are at NeurIPS 2026?

NeurIPS 2026 has 19 Open-Domain QA papers, versus 21 the year before.

How many Open-Domain QA papers are at ICLR 2026?

ICLR 2026 has 7 Open-Domain QA papers, versus 12 the year before.

How many Open-Domain QA papers are at ICML 2026?

ICML 2026 has 5 Open-Domain QA papers, versus 2 the year before.

How many Open-Domain QA papers are at CVPR 2026?

CVPR 2026 has 31 Open-Domain QA papers, versus 34 the year before.

Which conference publishes the most Open-Domain QA papers?

CVPR, with 113 papers from 2023 to 2026.