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
244 papers, page 2 of 5
- NeurIPS 2026EgoSurgHands: An Egocentric 3D Hand Pose Dataset & Benchmark for Open-Surgery Training
- NeurIPS 2026FrontierSmith: Synthesizing Open-Ended Coding Problems at Scale
- NeurIPS 2026LDD-RFM: Learnable Domain Decomposition for Random Feature Models via Variable Projection
- NeurIPS 2026Open Vocabulary Domain Unlearning
- NeurIPS 2026PRISM: Priority-Guided Scanning in the Wavelet Domain for UAV Maritime Small Object Detection
- NeurIPS 2026Query as a Resource: Activity-Cost Guided Remote Sensing Domain-Incremental Object Detection
- NeurIPS 2026Re:Cognize - A Framework For Open-Set Comic Character Re-Identification
- NeurIPS 2026ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork
- NeurIPS 2026SCOPE: Self-Play via Co-Evolving Policies for Open-Ended Tasks
- NeurIPS 2026The Shape of Events: Edge-Based Inductive Biases via Cross-Domain Distillation
- NeurIPS 2026Too Smart to Teach: The Articulability Ceiling in Language Models
- NeurIPS 2026Witness Overlap: Directional Provenance Inside Open-Weight Model Families
- CVPR 2025AvatarArtist: Open-Domain 4D Avatarization
- CVPR 2025Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
- CVPR 2025Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need
- CVPR 2025Cross-Rejective Open-Set SAR Image Registration
- CVPR 2025DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos
- CVPR 2025Detecting Open World Objects via Partial Attribute Assignment
- CVPR 2025Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment
- CVPR 2025Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
- CVPR 2025EntropyMark: Towards More Harmless Backdoor Watermark via Entropy-based Constraint for Open-source Dataset Copyright Protection
- CVPR 2025Exploring Simple Open-Vocabulary Semantic Segmentation
- CVPR 2025Federated Learning with Domain Shift Eraser
- CVPR 2025Gradient-Guided Annealing for Domain Generalization
- CVPR 2025LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models
- CVPR 2025MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
- CVPR 2025OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad
- CVPR 2025ODE: Open-Set Evaluation of Hallucinations in Multimodal Large Language Models
- CVPR 2025Open Ad-hoc Categorization with Contextualized Feature Learning
- CVPR 2025Open Set Label Shift with Test Time Out-of-Distribution Reference
- CVPR 2025Open-Canopy: Towards Very High Resolution Forest Monitoring
- CVPR 2025Open-World Amodal Appearance Completion
- CVPR 2025OpenSDI: Spotting Diffusion-Generated Images in the Open World
- CVPR 2025OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP
- CVPR 2025OSMamba: Omnidirectional Spectral Mamba with Dual-Domain Prior Generator for Exposure Correction
- CVPR 2025PEER Pressure: Model-to-Model Regularization for Single Source Domain Generalization
- CVPR 2025Percept, Memory, and Imagine: World Feature Simulating for Open-Domain Unknown Object Detection
- CVPR 2025Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift
- CVPR 2025RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness
- CVPR 2025Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
- CVPR 2025SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for Remote Sensing Images
- CVPR 2025SGC-Net: Stratified Granular Comparison Network for Open-Vocabulary HOI Detection
- CVPR 2025SPC-GS: Gaussian Splatting with Semantic-Prompt Consistency for Indoor Open-World Free-view Synthesis from Sparse Inputs
- CVPR 2025TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification
- CVPR 2025v-CLR: View-Consistent Learning for Open-World Instance Segmentation
- CVPR 2025When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach
- ICLR 2025ACES: Automatic Cohort Extraction System for Event-Stream Datasets
- ICLR 2025Do Deep Neural Network Solutions Form a Star Domain?
- ICLR 2025FreDF: Learning to Forecast in the Frequency Domain
- ICLR 2025NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks In Open Domains
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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.