Open-Domain QA papers, 2023–2026
Open QA
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 244 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 14 | 8 | 5 | 25 | 52 |
| 2024 | 15 | 9 | 14 | 23 | 61 |
| 2025 | 21 | 12 | 2 | 34 | 69 |
| 2026 | 19 | 7 | 5 | 31 | 62 |
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
61 papers, page 1 of 2
- CVPR 2024A2XP: Towards Private Domain Generalization
- CVPR 2024AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning
- CVPR 2024CommonCanvas: Open Diffusion Models Trained on Creative-Commons Images
- CVPR 2024Day-Night Cross-domain Vehicle Re-identification
- CVPR 2024Domain Prompt Learning with Quaternion Networks
- CVPR 2024Enhancing Quality of Compressed Images by Mitigating Enhancement Bias Towards Compression Domain
- CVPR 2024From Coarse to Fine-Grained Open-Set Recognition
- CVPR 2024GOV-NeSF: Generalizable Open-Vocabulary Neural Semantic Fields
- CVPR 2024Learning for Transductive Threshold Calibration in Open-World Recognition
- CVPR 2024Open-Set Domain Adaptation for Semantic Segmentation
- CVPR 2024Open-Vocabulary Segmentation with Semantic-Assisted Calibration
- CVPR 2024Open-World Semantic Segmentation Including Class Similarity
- CVPR 2024OpenESS: Event-based Semantic Scene Understanding with Open Vocabularies
- CVPR 2024PracticalDG: Perturbation Distillation on Vision-Language Models for Hybrid Domain Generalization
- CVPR 2024ProTeCt: Prompt Tuning for Taxonomic Open Set Classification
- CVPR 2024Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos
- CVPR 2024RealCustom: Narrowing Real Text Word for Real-Time Open-Domain Text-to-Image Customization
- CVPR 2024SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection
- CVPR 2024Single Domain Generalization for Crowd Counting
- CVPR 2024Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection
- CVPR 2024Unified Entropy Optimization for Open-Set Test-Time Adaptation
- CVPR 2024Unknown Prompt the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization
- CVPR 2024Unveiling the Unknown: Unleashing the Power of Unknown to Known in Open-Set Source-Free Domain Adaptation
- ICLR 2024BatteryML: An Open-source Platform for Machine Learning on Battery Degradation
- ICLR 2024Domain constraints improve risk prediction when outcome data is missing
- ICLR 2024DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption
- ICLR 2024EasyTPP: Towards Open Benchmarking Temporal Point Processes
- ICLR 2024Improving Domain Generalization with Domain Relations
- ICLR 2024Minimum width for universal approximation using ReLU networks on compact domain
- ICLR 2024OpenTab: Advancing Large Language Models as Open-domain Table Reasoners
- ICLR 2024SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs
- ICLR 2024Threshold-Consistent Margin Loss for Open-World Deep Metric Learning
- ICML 2024CLLMs: Consistency Large Language Models
- ICML 2024Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning
- ICML 2024Cross-domain Open-world Discovery
- ICML 2024DOGE: Domain Reweighting with Generalization Estimation
- ICML 2024Domain Generalisation via Imprecise Learning
- ICML 2024Domain-wise Data Acquisition to Improve Performance under Distribution Shift
- ICML 2024Hyperbolic Active Learning for Semantic Segmentation under Domain Shift
- ICML 2024Large Scale Dataset Distillation with Domain Shift
- ICML 2024Open-Domain Text Evaluation via Contrastive Distribution Methods
- ICML 2024OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models
- ICML 2024Out-of-Domain Generalization in Dynamical Systems Reconstruction
- ICML 2024Position: On the Societal Impact of Open Foundation Models
- ICML 2024Position: Open-Endedness is Essential for Artificial Superhuman Intelligence
- ICML 2024Rethinking DP-SGD in Discrete Domain: Exploring Logistic Distribution in the Realm of signSGD
- NeurIPS 2024A Cross-Domain Benchmark for Active Learning
- NeurIPS 2024ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition
- NeurIPS 2024Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler
- NeurIPS 2024CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics
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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.