开放域问答论文趋势 2023–2026

主要结论

• 开放域问答论文从 2023 年的 52 篇增长到 2026 年的 62 篇，三年间扩大到约 1.2 倍。
• CVPR 是发开放域问答论文最多的会议，2023–2026 年共 113 篇，占四个会议总量的 46%。
• 交叉方向里涨得最快的是驾驶仿真：同时属于两个主题的论文从 2023 年的 2 篇增至 2026 年的 9 篇。
• 在「信息检索」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的交叉编码重排是 3.0 倍，开放域问答是 1.2 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• 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

全部开放域问答论文

共 61 篇，第 1 / 2 页

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

常见问题

2023–2026 年四大会议一共有多少篇开放域问答论文？

共 244 篇，按年份分别是 2023 年 52 篇、2024 年 61 篇、2025 年 69 篇、2026 年 62 篇。

NeurIPS 2026 有多少篇开放域问答论文？

NeurIPS 2026 有 19 篇开放域问答论文，上一届是 21 篇。

ICLR 2026 有多少篇开放域问答论文？

ICLR 2026 有 7 篇开放域问答论文，上一届是 12 篇。

ICML 2026 有多少篇开放域问答论文？

ICML 2026 有 5 篇开放域问答论文，上一届是 2 篇。

CVPR 2026 有多少篇开放域问答论文？

CVPR 2026 有 31 篇开放域问答论文，上一届是 34 篇。

哪个会议的开放域问答论文最多？

CVPR，2023–2026 年共 113 篇。