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Machine Learning
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Domain Adaptation
8,656 papers
Papers per year
2003: 1
2004: 2
2006: 11
2007: 9
2008: 8
2009: 13
2010: 14
2011: 16
2012: 16
2013: 44
2014: 32
2015: 44
2016: 126
2017: 203
2018: 378
2019: 662
2020: 726
2021: 1006
2022: 964
2023: 1217
2024: 1326
2025: 1387
2026: 451
Papers
Improving Factual Accuracy of Neural Table-to-Text Output by Addressing Input Problems in ToTTo
NAACL 2024
DUQGen: Effective Unsupervised Domain Adaptation of Neural Rankers by Diversifying Synthetic Query Generation
NAACL 2024
What Matters in Training a GPT4-Style Language Model with Multimodal Inputs?
NAACL 2024
Improving In-context Learning of Multilingual Generative Language Models with Cross-lingual Alignment
NAACL 2024
ICLE++: Modeling Fine-Grained Traits for Holistic Essay Scoring
NAACL 2024
Pre-trained Language Models for Entity Blocking: A Reproducibility Study
NAACL 2024
Clear Up Confusion: Advancing Cross-Domain Few-Shot Relation Extraction through Relation-Aware Prompt Learning
NAACL 2024
CELI: Simple yet Effective Approach to Enhance Out-of-Domain Generalization of Cross-Encoders.
NAACL 2024
SLIDE: Reference-free Evaluation for Machine Translation using a Sliding Document Window
NAACL 2024
On Retrieval Augmentation and the Limitations of Language Model Training
NAACL 2024
M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine Translation
NAACL 2024
QueryExplorer: An Interactive Query Generation Assistant for Search and Exploration
NAACL 2024
Fighting crime with Transformers: Empirical analysis of address parsing methods in payment data
NAACL 2024
Ignore Me But Don’t Replace Me: Utilizing Non-Linguistic Elements for Pretraining on the Cybersecurity Domain
NAACL 2024
EcoSpeak: Cost-Efficient Bias Mitigation for Partially Cross-Lingual Speaker Verification
NAACL 2024
LLM-Rec: Personalized Recommendation via Prompting Large Language Models
NAACL 2024
Source-Free Unsupervised Domain Adaptation for Question Answering via Prompt-Assisted Self-learning
NAACL 2024
Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization
NAACL 2024
The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation
NAACL 2024
Aligning Large Language Models with Recommendation Knowledge
NAACL 2024
Learning Cross-Architecture Instruction Embeddings for Binary Code Analysis in Low-Resource Architectures
NAACL 2024
Pruning as a Domain-specific LLM Extractor
NAACL 2024
Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies
NAACL 2024
Applications of BERT Models Towards Automation of Clinical Coding in Icelandic
NAACL 2024
Role Prompting Guided Domain Adaptation with General Capability Preserve for Large Language Models
NAACL 2024
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