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Methodology
← Resources & Methods
Natural Language Processing
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Resources & Methods
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Large Language Models
9067 directly classified papers
Papers per year
2010: 1
2013: 1
2017: 1
2018: 14
2019: 129
2020: 336
2021: 463
2022: 582
2023: 1165
2024: 2492
2025: 3325
2026: 558
Papers
OpenPrompt: An Open-source Framework for Prompt-learning
ACL 2022
BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model
ACL 2022
Explainable Publication Year Prediction of Eighteenth Century Texts with the BERT Model
ACL 2022
A survey on improving NLP models with human explanations
ACL 2022
Prompt-based Pre-trained Model for Personality and Interpersonal Reactivity Prediction
ACL 2022
Addressing token uniformity in transformers via singular value transformation
UAI 2022
Deduplicating Training Data Mitigates Privacy Risks in Language Models
ICML 2022
Co-training Improves Prompt-based Learning for Large Language Models
ICML 2022
Learning to Rank Visual Stories From Human Ranking Data
ACL 2022
HIE-SQL: History Information Enhanced Network for Context-Dependent Text-to-SQL Semantic Parsing
ACL 2022
A Holistic Assessment of the Carbon Footprint of Noor, a Very Large Arabic Language Model
ACL 2022
Replicability under Near-Perfect Conditions – A Case-Study from Automatic Summarization
ACL 2022
MaChAmp at SemEval-2022 Tasks 2, 3, 4, 6, 10, 11, and 12: Multi-task Multi-lingual Learning for a Pre-selected Set of Semantic Datasets
SEMEVAL 2022
Enhanced Story Comprehension for Large Language Models through Dynamic Document-Based Knowledge Graphs
AAAI 2022
CoCoLM: Complex Commonsense Enhanced Language Model with Discourse Relations
ACL 2022
Leveraging Knowledge in Multilingual Commonsense Reasoning
ACL 2022
Materialized Knowledge Bases from Commonsense Transformers
ACL 2022
JAKET: Joint Pre-training of Knowledge Graph and Language Understanding
AAAI 2022
DKPLM: Decomposable Knowledge-Enhanced Pre-trained Language Model for Natural Language Understanding
AAAI 2022
XLM-K: Improving Cross-Lingual Language Model Pre-training with Multilingual Knowledge
AAAI 2022
On Semantic Cognition, Inductive Generalization, and Language Models
AAAI 2022
Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey
AAAI 2022
InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation
AAAI 2022
DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization
AAAI 2022
Can Machines Read Coding Manuals Yet? – A Benchmark for Building Better Language Models for Code Understanding
AAAI 2022
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