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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
Factual Consistency of Multilingual Pretrained Language Models
ACL 2022
Improving Robustness of Language Models from a Geometry-aware Perspective
ACL 2022
THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption
ACL 2022
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora
ACL 2022
You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings
ACL 2022
GPT-NeoX-20B: An Open-Source Autoregressive Language Model
ACL 2022
Dataset Debt in Biomedical Language Modeling
ACL 2022
Emergent Structures and Training Dynamics in Large Language Models
ACL 2022
Position-based Prompting for Health Outcome Generation
ACL 2022
Comparing Encoder-Only and Encoder-Decoder Transformers for Relation Extraction from Biomedical Texts: An Empirical Study on Ten Benchmark Datasets
ACL 2022
Psycholinguistic Diagnosis of Language Models’ Commonsense Reasoning
ACL 2022
What GPT Knows About Who is Who
ACL 2022
Using neural topic models to track context shifts of words: a case study of COVID-related terms before and after the lockdown in April 2020
ACL 2022
OPI@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text using RoBERTa Pre-trained Language Models
ACL 2022
Design principles of an open-source language modeling microservice package for AAC text-entry applications
ACL 2022
PINGAN_AI at SemEval-2022 Task 9: Recipe knowledge enhanced model applied in Competence-based Multimodal Question Answering
SEMEVAL 2022
BRCC and SentiBahasaRojak: The First Bahasa Rojak Corpus for Pretraining and Sentiment Analysis Dataset
COLING 2022
Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models
COLING 2022
FeatureBART: Feature Based Sequence-to-Sequence Pre-Training for Low-Resource NMT
COLING 2022
Semantically Consistent Data Augmentation for Neural Machine Translation via Conditional Masked Language Model
COLING 2022
A Japanese Masked Language Model for Academic Domain
COLING 2022
Evaluating Pre-Trained Language Models on Multi-Document Summarization for Literature Reviews
COLING 2022
Abstractive Approaches To Multidocument Summarization Of Medical Literature Reviews
COLING 2022
PingAnTech at SMM4H task1: Multiple pre-trained model approaches for Adverse Drug Reactions
COLING 2022
Enolp musk@SMM4H’22 : Leveraging Pre-trained Language Models for Stance And Premise Classification
COLING 2022
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