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Artificial Intelligence
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Learning Paradigms
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Transfer Learning
8,078 papers
Papers per year
2002: 2
2003: 1
2005: 3
2006: 5
2007: 12
2008: 7
2009: 7
2010: 16
2011: 15
2012: 13
2013: 35
2014: 32
2015: 40
2016: 72
2017: 149
2018: 341
2019: 619
2020: 711
2021: 992
2022: 980
2023: 1182
2024: 1282
2025: 1254
2026: 308
Papers
Fine-Tuning Open Access LLMs for High-Precision NLU in Goal-Driven Dialog Systems
COLING 2024
Could We Have Had Better Multilingual LLMs if English Was Not the Central Language?
COLING 2024
Analyzing Offensive Language and Hate Speech in Political Discourse: A Case Study of German Politicians
COLING 2024
DoDo Learning: Domain-Demographic Transfer in Language Models for Detecting Abuse Targeted at Public Figures
COLING 2024
Introducing the Djinni Recruitment Dataset: A Corpus of Anonymized CVs and Job Postings
COLING 2024
Setting up the Data Printer with Improved English to Ukrainian Machine Translation
COLING 2024
The UNLP 2024 Shared Task on Fine-Tuning Large Language Models for Ukrainian
COLING 2024
From Bytes to Borsch: Fine-Tuning Gemma and Mistral for the Ukrainian Language Representation
COLING 2024
Multilingual Bias Detection and Mitigation for Indian Languages
COLING 2024
On the Performance of Empirical Risk Minimization with Smoothed Data
COLT 2024
Physics-informed machine learning as a kernel method
COLT 2024
Testable Learning with Distribution Shift
COLT 2024
Learning Intersections of Halfspaces with Distribution Shift: Improved Algorithms and SQ Lower Bounds
COLT 2024
Optimal Multi-Distribution Learning
COLT 2024
Multi-Cultural Norm Base: Frame-based Norm Discovery in Multi-Cultural Settings
CONLL 2024
Transformer verbatim in-context retrieval across time and scale
CONLL 2024
An Empirical Comparison of Vocabulary Expansion and Initialization Approaches For Language Models
CONLL 2024
Information Association for Language Model Updating by Mitigating LM-Logical Discrepancy
CONLL 2024
Global Learning with Triplet Relations in Abstractive Summarization
CONLL 2024
A Novel Instruction Tuning Method for Vietnamese Mathematical Reasoning using Trainable Open-Source Large Language Models
CONLL 2024
Extending the BabyLM Initiative : Promoting Diversity in Datasets and Metrics through High-Quality Linguistic Corpora
CONLL 2024
BERTtime Stories: Investigating the Role of Synthetic Story Data in Language Pre-training
CONLL 2024
Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer
CVPR 2024
Accept the Modality Gap: An Exploration in the Hyperbolic Space
CVPR 2024
VideoLLM-online: Online Video Large Language Model for Streaming Video
CVPR 2024
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