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← Resources & Methods
Natural Language Processing
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Resources & Methods
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Large Language Models
9,067 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
Generating Better Items for Cognitive Assessments Using Large Language Models
ACL 2023
Transformer-based Hebrew NLP models for Short Answer Scoring in Biology
ACL 2023
Rating Short L2 Essays on the CEFR Scale with GPT-4
ACL 2023
Evaluating Reading Comprehension Exercises Generated by LLMs: A Showcase of ChatGPT in Education Applications
ACL 2023
Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom Instruction
ACL 2023
RETUYT-InCo at BEA 2023 Shared Task: Tuning Open-Source LLMs for Generating Teacher Responses
ACL 2023
The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues
ACL 2023
Zero-shot Temporal Relation Extraction with ChatGPT
ACL 2023
Good Data, Large Data, or No Data? Comparing Three Approaches in Developing Research Aspect Classifiers for Biomedical Papers
ACL 2023
Large Language Models as Instructors: A Study on Multilingual Clinical Entity Extraction
ACL 2023
AliBERT: A Pre-trained Language Model for French Biomedical Text
ACL 2023
Automated Extraction of Molecular Interactions and Pathway Knowledge using Large Language Model, Galactica: Opportunities and Challenges
ACL 2023
Automatic Glossary of Clinical Terminology: a Large-Scale Dictionary of Biomedical Definitions Generated from Ontological Knowledge
ACL 2023
Evaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers
ACL 2023
Biomedical Language Models are Robust to Sub-optimal Tokenization
ACL 2023
BioNART: A Biomedical Non-AutoRegressive Transformer for Natural Language Generation
ACL 2023
Zero-Shot Information Extraction for Clinical Meta-Analysis using Large Language Models
ACL 2023
RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models
ACL 2023
Team:PULSAR at ProbSum 2023:PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients’ Problems and Data Augmentation with Black-box Large Language Models
ACL 2023
CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models
ACL 2023
shs-nlp at RadSum23: Domain-Adaptive Pre-training of Instruction-tuned LLMs for Radiology Report Impression Generation
ACL 2023
LHS712EE at BioLaySumm 2023: Using BART and LED to summarize biomedical research articles
ACL 2023
Harnessing the Power of BERT in the Turkish Clinical Domain: Pretraining Approaches for Limited Data Scenarios
ACL 2023
Prompt Discriminative Language Models for Domain Adaptation
ACL 2023
Cross-domain German Medical Named Entity Recognition using a Pre-Trained Language Model and Unified Medical Semantic Types
ACL 2023
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