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Foundation Models
4845 directly classified papers
Papers per year
2002: 1
2006: 1
2007: 1
2008: 1
2010: 1
2012: 2
2013: 1
2014: 1
2015: 2
2016: 7
2017: 15
2018: 49
2019: 69
2020: 123
2021: 204
2022: 243
2023: 579
2024: 1365
2025: 1819
2026: 361
Papers
Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation
EACL 2021
PINGAN Omini-Sinitic at SemEval-2021 Task 4:Reading Comprehension of Abstract Meaning
ACL 2021
SciConceptMiner: A system for large-scale scientific concept discovery
ACL 2021
SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining
IJCNLP 2021
BERTAC: Enhancing Transformer-based Language Models with Adversarially Pretrained Convolutional Neural Networks
IJCNLP 2021
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts
ACL 2021
Levenshtein Training for Word-level Quality Estimation
EMNLP 2021
CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata
EACL 2021
DanNet2: Extending the coverage of adjectives in DanNet based on thesaurus data (project presentation)
EACL 2021
MilaNLP @ WASSA: Does BERT Feel Sad When You Cry?
EACL 2021
Structural Encoding and Pre-training Matter: Adapting BERT for Table-Based Fact Verification
EACL 2021
Predator: Registration of 3D Point Clouds With Low Overlap
CVPR 2021
MSA Transformer
ICML 2021
Team Phoenix at WASSA 2021: Emotion Analysis on News Stories with Pre-Trained Language Models
EACL 2021
Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies
EACL 2021
Structural Pre-training for Dialogue Comprehension
IJCNLP 2021
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
EACL 2021
Solving Inverse Problems with a Flow-based Noise Model
ICML 2021
HOMADOS at SemEval-2021 Task 6: Multi-Task Learning for Propaganda Detection
SEMEVAL 2021
Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Models
EMNLP 2021
Beyond English-Centric Multilingual Machine Translation
JMLR 2021
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning
IJCNLP 2021
Emerging Methods of Auction Design in Social Networks
IJCAI 2021
Improvements and Extensions on Metaphor Detection
IJCNLP 2021
YoungSheldon at SemEval-2021 Task 5: Fine-tuning Pre-trained Language Models for Toxic Spans Detection using Token classification Objective
SEMEVAL 2021
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