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Domain Adaptation
8656 directly classified 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
NUST Nova at RIRAG 2025: A Hybrid Framework for Regulatory Information Retrieval and Question Answering
COLING 2025
User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems
ACL 2025
CoAlign: Uncertainty Calibration of LLM for Geospatial Repartition
ACL 2025
RUBRIC-MQM : Span-Level LLM-as-judge in Machine Translation For High-End Models
ACL 2025
MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection
ACL 2025
QA Analysis in Medical and Legal Domains: A Survey of Data Augmentation in Low-Resource Settings
ACL 2025
Tulun: Transparent and Adaptable Low-resource Machine Translation
ACL 2025
Abacus-SQL: A Text-to-SQL System Empowering Cross-Domain and Open-Domain Database Retrieval
ACL 2025
LexKeyPlan: Planning with Keyphrases and Retrieval Augmentation for Legal Text Generation: A Case Study on European Court of Human Rights Cases
ACL 2025
Limited-Resource Adapters Are Regularizers, Not Linguists
ACL 2025
KnowShiftQA: How Robust are RAG Systems when Textbook Knowledge Shifts in K-12 Education?
ACL 2025
Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach
ACL 2025
Selecting and Merging: Towards Adaptable and Scalable Named Entity Recognition with Large Language Models
ACL 2025
Understanding Cross-Domain Adaptation in Low-Resource Topic Modeling
ACL 2025
A Survey on Foundation Language Models for Single-cell Biology
ACL 2025
RealisID: Scale-Robust and Fine-Controllable Identity Customization via Local and Global Complementation
AAAI 2025
Domain-Informed Label Fusion Surpasses LLMs in Free-Living Activity Classification (Student Abstract)
AAAI 2025
DrugHash: Hashing Based Contrastive Learning for Virtual Screening
AAAI 2025
Anchor Learning with Potential Cluster Constraints for Multi-view Clustering
AAAI 2025
ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection
AAAI 2025
Unified Graph Neural Networks Pre-training for Multi-domain Graphs
AAAI 2025
Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels
AAAI 2025
Common Sense Bias Modeling for Classification Tasks
AAAI 2025
Privacy-Preserving V2X Collaborative Perception Integrating Unknown Collaborators
AAAI 2025
Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language Alignment
AAAI 2025
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