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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
KnowComp at SemEval-2024 Task 9: Conceptualization-Augmented Prompting with Large Language Models for Lateral Reasoning
NAACL 2024
SU-FMI at SemEval-2024 Task 5: From BERT Fine-Tuning to LLM Prompt Engineering - Approaches in Legal Argument Reasoning
NAACL 2024
uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers?
NAACL 2024
Mothman at SemEval-2024 Task 9: An Iterative System for Chain-of-Thought Prompt Optimization
NAACL 2024
Zero Shot is All You Need at SemEval-2024 Task 9: A study of State of the Art LLMs on Lateral Thinking Puzzles
NAACL 2024
MASSIVE Multilingual Abstract Meaning Representation: A Dataset and Baselines for Hallucination Detection
NAACL 2024
Polysemy through the lens of psycholinguistic variables: a dataset and an evaluation of static and contextualized language models
NAACL 2024
Speedy Gonzales: A Collection of Fast Task-Specific Models for Spanish
NAACL 2024
Investigating Wit, Creativity, and Detectability of Large Language Models in Domain-Specific Writing Style Adaptation of Reddit’s Showerthoughts
NAACL 2024
A Trip Towards Fairness: Bias and De-Biasing in Large Language Models
NAACL 2024
Do large language models and humans have similar behaviours in causal inference with script knowledge?
NAACL 2024
FairBelief - Assessing Harmful Beliefs in Language Models
NAACL 2024
FactAlign: Fact-Level Hallucination Detection and Classification Through Knowledge Graph Alignment
NAACL 2024
Holistic Evaluation of Large Language Models: Assessing Robustness, Accuracy, and Toxicity for Real-World Applications
NAACL 2024
HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality Evaluation
NAACL 2024
Introducing GenCeption for Multimodal LLM Benchmarking: You May Bypass Annotations
NAACL 2024
Sandwich attack: Multi-language Mixture Adaptive Attack on LLMs
NAACL 2024
Tell Me Why: Explainable Public Health Fact-Checking with Large Language Models
NAACL 2024
What Drives Performance in Multilingual Language Models?
NAACL 2024
DIALECT-COPA: Extending the Standard Translations of the COPA Causal Commonsense Reasoning Dataset to South Slavic Dialects
NAACL 2024
Can LLMs Handle Low-Resource Dialects? A Case Study on Translation and Common Sense Reasoning in Šariš
NAACL 2024
Data-Augmentation-Based Dialectal Adaptation for LLMs
NAACL 2024
JSI and WüNLP at the DIALECT-COPA Shared Task: In-Context Learning From Just a Few Dialectal Examples Gets You Quite Far
NAACL 2024
Incorporating Dialect Understanding Into LLM Using RAG and Prompt Engineering Techniques for Causal Commonsense Reasoning
NAACL 2024
One-Shot Prompt for Language Variety Identification
NAACL 2024
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