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Domain Generalization
1760 directly classified papers
Papers per year
2008: 1
2013: 2
2014: 1
2015: 4
2016: 2
2017: 6
2018: 12
2019: 68
2020: 85
2021: 213
2022: 277
2023: 378
2024: 322
2025: 280
2026: 109
Papers
ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment
EMNLP 2024
Understanding the effects of language-specific class imbalance in multilingual fine-tuning
EACL 2024
A Robust Dual-debiasing VQA Model based on Counterfactual Causal Effect
EMNLP 2024
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift
NIPS 2024
RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering
EMNLP 2024
Measuring the Robustness of NLP Models to Domain Shifts
EMNLP 2024
How Hard is this Test Set? NLI Characterization by Exploiting Training Dynamics
EMNLP 2024
In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search
EMNLP 2024
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation
EMNLP 2024
Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation
NIPS 2024
Attribute Diversity Determines the Systematicity Gap in VQA
EMNLP 2024
Breaking Semantic Artifacts for Generalized AI-generated Image Detection
NIPS 2024
Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks
EMNLP 2024
Delving into Qualitative Implications of Synthetic Data for Hate Speech Detection
EMNLP 2024
Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment
CVPR 2024
Grounding Partially-Defined Events in Multimodal Data
EMNLP 2024
Contrastive Instruction Tuning
ACL 2024
FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding
EMNLP 2024
Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark
EMNLP 2024
ALVIN: Active Learning Via INterpolation
EMNLP 2024
Fill In The Gaps: Model Calibration and Generalization with Synthetic Data
EMNLP 2024
Recovering Complete Actions for Cross-dataset Skeleton Action Recognition
NIPS 2024
Interventional Speech Noise Injection for ASR Generalizable Spoken Language Understanding
EMNLP 2024
An Open-Source Data Contamination Report for Large Language Models
EMNLP 2024
Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering
EACL 2024
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