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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
When Men Bite Dogs: Testing Good-Enough Parsing in Turkish with Humans and Large Language Models
NAACL 2025
Transformers Can Model Human Hyperprediction in Buzzer Quiz
NAACL 2025
What to Predict? Exploring How Sentence Structure Influences Contrast Predictions in Humans and Large Language Models
NAACL 2025
Investigating noun-noun compound relation representations in autoregressive large language models
NAACL 2025
CUET_Ignite@DravidianLangTech 2025: Detection of Abusive Comments in Tamil Text Using Transformer Models
NAACL 2025
Overview of the Shared Task on Fake News Detection in Dravidian Languages-DravidianLangTech@NAACL 2025
NAACL 2025
ReadCtrl: Personalizing text generation with readability-controlled instruction learning
NAACL 2025
Voice Interaction With Conversational AI Could Facilitate Thoughtful Reflection and Substantive Revision in Writing
NAACL 2025
An Analysis of Scoring Methods for Reranking in Large Language Model Story Generation
NAACL 2025
In-Context Learning on a Budget: A Case Study in Token Classification
NAACL 2025
Corrective In-Context Learning: Evaluating Self-Correction in Large Language Models
NAACL 2025
Do Prevalent Bias Metrics Capture Allocational Harms from LLMs?
NAACL 2025
Language-Specific Neurons Do Not Facilitate Cross-Lingual Transfer
NAACL 2025
Monte Carlo Sampling for Analyzing In-Context Examples
NAACL 2025
Does Training on Synthetic Data Make Models Less Robust?
NAACL 2025
LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction
NAACL 2025
Exploring Limitations of LLM Capabilities with Multi-Problem Evaluation
NAACL 2025
Self Knowledge-Tracing for Tool Use (SKT-Tool): Helping LLM Agents Understand Their Capabilities in Tool Use
NAACL 2025
Error Reflection Prompting: Can Large Language Models Successfully Understand Errors?
NAACL 2025
Evaluating Robustness of LLMs to Numerical Variations in Mathematical Reasoning
NAACL 2025
Generating Tables from the Parametric Knowledge of Language Models
NAACL 2025
GAVEL: Generative Attribute-Value Extraction Using LLMs on LLM-Augmented Datasets
NAACL 2025
Leveraging Domain Knowledge at Inference Time for LLM Translation: Retrieval versus Generation
NAACL 2025
Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented Generation
NAACL 2025
LLM Reasoning Engine: Specialized Training for Enhanced Mathematical Reasoning
NAACL 2025
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