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← Core AI
Artificial Intelligence
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Core AI
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Large Language Models
6,405 papers
Papers per year
2007: 3
2017: 2
2018: 3
2019: 10
2020: 49
2021: 53
2022: 188
2023: 558
2024: 1910
2025: 3619
2026: 10
Papers
Song Lyrics Adaptations: Computational Interpretation of the Pentathlon Principle
NAACL 2025
Assessing Crowdsourced Annotations with LLMs: Linguistic Certainty as a Proxy for Trustworthiness
NAACL 2025
On Psychology of AI – Does Primacy Effect Affect ChatGPT and Other LLMs?
NAACL 2025
The Literary Canons of Large-Language Models: An Exploration of the Frequency of Novel and Author Generations Across Gender, Race and Ethnicity, and Nationality
NAACL 2025
Bootstrapping AI: Interdisciplinary Approaches to Assessing OCR Quality in English-Language Historical Documents
NAACL 2025
Transferring Extreme Subword Style Using Ngram Model-Based Logit Scaling
NAACL 2025
Evaluating Large Language Models for Narrative Topic Labeling
NAACL 2025
From Causal Parrots to Causal Prophets? Towards Sound Causal Reasoning with Large Language Models
NAACL 2025
Modern Models, Medieval Texts: A POS Tagging Study of Old Occitan
NAACL 2025
Testing Language Creativity of Large Language Models and Humans
NAACL 2025
A Comparative Analysis of Ethical and Safety Gaps in LLMs using Relative Danger Coefficient
NAACL 2025
VLG-BERT: Towards Better Interpretability in LLMs through Visual and Linguistic Grounding
NAACL 2025
A Comprehensive Evaluation of Cognitive Biases in LLMs
NAACL 2025
AI with Emotions: Exploring Emotional Expressions in Large Language Models
NAACL 2025
Fearful Falcons and Angry Llamas: Emotion Category Annotations of Arguments by Humans and LLMs
NAACL 2025
Studying the Representation of the LGBTQ+ Community in RuPaul’s Drag Race with LLM-Based Topic Modeling
NAACL 2025
Guardrails, not Guidance: Understanding Responses to LGBTQ+ Language in Large Language Models
NAACL 2025
Leveraging Large Language Models in Detecting Anti-LGBTQIA+ User-generated Texts
NAACL 2025
A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension
NAACL 2025
Amuro & Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models
NAACL 2025
State Space Models are Strong Text Rerankers
NAACL 2025
Large Language Models Are Overparameterized Text Encoders
NAACL 2025
Vocabulary-level Memory Efficiency for Language Model Fine-tuning
NAACL 2025
Prompt and circumstance: A word-by-word LLM prompting approach to interlinear glossing for low-resource languages
NAACL 2025
PBI-Attack: Prior-Guided Bimodal Interactive Black-Box Jailbreak Attack for Toxicity Maximization
NAACL 2025
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