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

244 papers, page 4 of 5

151. CVPR 2024Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection
152. CVPR 2024Unified Entropy Optimization for Open-Set Test-Time Adaptation
153. CVPR 2024Unknown Prompt the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization
154. CVPR 2024Unveiling the Unknown: Unleashing the Power of Unknown to Known in Open-Set Source-Free Domain Adaptation
155. ICLR 2024BatteryML: An Open-source Platform for Machine Learning on Battery Degradation
156. ICLR 2024Domain constraints improve risk prediction when outcome data is missing
157. ICLR 2024DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption
158. ICLR 2024EasyTPP: Towards Open Benchmarking Temporal Point Processes
159. ICLR 2024Improving Domain Generalization with Domain Relations
160. ICLR 2024Minimum width for universal approximation using ReLU networks on compact domain
161. ICLR 2024OpenTab: Advancing Large Language Models as Open-domain Table Reasoners
162. ICLR 2024SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs
163. ICLR 2024Threshold-Consistent Margin Loss for Open-World Deep Metric Learning
164. ICML 2024CLLMs: Consistency Large Language Models
165. ICML 2024Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning
166. ICML 2024Cross-domain Open-world Discovery
167. ICML 2024DOGE: Domain Reweighting with Generalization Estimation
168. ICML 2024Domain Generalisation via Imprecise Learning
169. ICML 2024Domain-wise Data Acquisition to Improve Performance under Distribution Shift
170. ICML 2024Hyperbolic Active Learning for Semantic Segmentation under Domain Shift
171. ICML 2024Large Scale Dataset Distillation with Domain Shift
172. ICML 2024Open-Domain Text Evaluation via Contrastive Distribution Methods
173. ICML 2024OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models
174. ICML 2024Out-of-Domain Generalization in Dynamical Systems Reconstruction
175. ICML 2024Position: On the Societal Impact of Open Foundation Models
176. ICML 2024Position: Open-Endedness is Essential for Artificial Superhuman Intelligence
177. ICML 2024Rethinking DP-SGD in Discrete Domain: Exploring Logistic Distribution in the Realm of signSGD
178. NeurIPS 2024A Cross-Domain Benchmark for Active Learning
179. NeurIPS 2024ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition
180. NeurIPS 2024Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler
181. NeurIPS 2024CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics
182. NeurIPS 2024DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain
183. NeurIPS 2024EGonc : Energy-based Open-Set Node Classification with substitute Unknowns
184. NeurIPS 2024EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations
185. NeurIPS 2024Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts
186. NeurIPS 2024GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages
187. NeurIPS 2024HelpSteer 2: Open-source dataset for training top-performing reward models
188. NeurIPS 2024LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models
189. NeurIPS 2024RedPajama: an Open Dataset for Training Large Language Models
190. NeurIPS 2024SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection
191. NeurIPS 2024SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain
192. NeurIPS 2024Weight Diffusion for Future: Learn to Generalize in Non-Stationary Environments
193. CVPR 2023Adjustment and Alignment for Unbiased Open Set Domain Adaptation
194. CVPR 2023AutoLabel: CLIP-Based Framework for Open-Set Video Domain Adaptation
195. CVPR 2023Coreset Sampling From Open-Set for Fine-Grained Self-Supervised Learning
196. CVPR 2023Cross-Domain 3D Hand Pose Estimation With Dual Modalities
197. CVPR 2023DATE: Domain Adaptive Product Seeker for E-Commerce
198. CVPR 2023Decompose, Adjust, Compose: Effective Normalization by Playing With Frequency for Domain Generalization
199. CVPR 2023Deep Frequency Filtering for Domain Generalization
200. CVPR 2023Domain Expansion of Image Generators

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.