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

26 papers, page 1 of 1

1. ICML 2026Failure is Feedback: History-Aware Backtracking for Agentic Traversal in Multimodal Graphs
2. ICML 2026HEDP: A Hybrid Energy-Distance Prompt-based Framework for Domain Incremental Learning
3. ICML 2026JADE: Expert-Grounded Dynamic Evaluation for Open-Ended Professional Tasks
4. ICML 2026Names Don’t Matter: Symbol-Invariant Transformer for Open-Vocabulary Learning
5. ICML 2026Source-Free Open-World RF Fingerprint Identification
6. ICML 2025COSDA: Counterfactual-based Susceptibility Risk Framework for Open-Set Domain Adaptation
7. ICML 2025Heterogeneous Label Shift: Theory and Algorithm
8. ICML 2024CLLMs: Consistency Large Language Models
9. ICML 2024Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning
10. ICML 2024Cross-domain Open-world Discovery
11. ICML 2024DOGE: Domain Reweighting with Generalization Estimation
12. ICML 2024Domain Generalisation via Imprecise Learning
13. ICML 2024Domain-wise Data Acquisition to Improve Performance under Distribution Shift
14. ICML 2024Hyperbolic Active Learning for Semantic Segmentation under Domain Shift
15. ICML 2024Large Scale Dataset Distillation with Domain Shift
16. ICML 2024Open-Domain Text Evaluation via Contrastive Distribution Methods
17. ICML 2024OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models
18. ICML 2024Out-of-Domain Generalization in Dynamical Systems Reconstruction
19. ICML 2024Position: On the Societal Impact of Open Foundation Models
20. ICML 2024Position: Open-Endedness is Essential for Artificial Superhuman Intelligence
21. ICML 2024Rethinking DP-SGD in Discrete Domain: Exploring Logistic Distribution in the Realm of signSGD
22. ICML 2023Beyond In-Domain Scenarios: Robust Density-Aware Calibration
23. ICML 2023Cooperative Open-ended Learning Framework for Zero-Shot Coordination
24. ICML 2023Distribution Free Domain Generalization
25. ICML 2023Internet Explorer: Targeted Representation Learning on the Open Web
26. ICML 2023Variational Open-Domain Question Answering

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.