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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
CoDa: Constrained Generation based Data Augmentation for Low-Resource NLP
NAACL 2024
Characterizing Human and Zero-Shot GPT-3.5 Object-Similarity Judgments
NAACL 2024
Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models
NAACL 2024
Read between the lines - Functionality Extraction From READMEs
NAACL 2024
Do Prompt Positions Really Matter?
NAACL 2024
Guiding Large Language Models to Post-Edit Machine Translation with Error Annotations
NAACL 2024
InstructEval: Systematic Evaluation of Instruction Selection Methods
NAACL 2024
Fumbling in Babel: An Investigation into ChatGPT’s Language Identification Ability
NAACL 2024
Efficient Citer: Tuning Large Language Models for Enhanced Answer Quality and Verification
NAACL 2024
Addressing Healthcare-related Racial and LGBTQ+ Biases in Pretrained Language Models
NAACL 2024
On Evaluating the Integration of Reasoning and Action in LLM Agents with Database Question Answering
NAACL 2024
SGSH: Stimulate Large Language Models with Skeleton Heuristics for Knowledge Base Question Generation
NAACL 2024
Comparing LLM prompting with Cross-lingual transfer performance on Indigenous and Low-resource Brazilian Languages
NAACL 2024
LLM-Assisted Rule Based Machine Translation for Low/No-Resource Languages
NAACL 2024
The unreasonable effectiveness of large language models for low-resource clause-level morphology: In-context generalization or prior exposure?
NAACL 2024
A Comparison of Fine-Tuning and In-Context Learning for Clause-Level Morphosyntactic Alternation
NAACL 2024
Applying Linguistic Expertise to LLMs for Educational Material Development in Indigenous Languages
NAACL 2024
Exploring Very Low-Resource Translation with LLMs: The University of Edinburgh’s Submission to AmericasNLP 2024 Translation Task
NAACL 2024
Improving Transfer Learning for Early Forecasting of Academic Performance by Contextualizing Language Models
NAACL 2024
Can GPT-4 do L2 analytic assessment?
NAACL 2024
Towards Fine-Grained Pedagogical Control over English Grammar Complexity in Educational Text Generation
NAACL 2024
Assessing Student Explanations with Large Language Models Using Fine-Tuning and Few-Shot Learning
NAACL 2024
UnibucLLM: Harnessing LLMs for Automated Prediction of Item Difficulty and Response Time for Multiple-Choice Questions
NAACL 2024
Item Difficulty and Response Time Prediction with Large Language Models: An Empirical Analysis of USMLE Items
NAACL 2024
UPN-ICC at BEA 2024 Shared Task: Leveraging LLMs for Multiple-Choice Questions Difficulty Prediction
NAACL 2024
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