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Methodology
← Core AI
Artificial Intelligence
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Core AI
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Large Language Models
6405 directly classified 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
PLD+: Accelerating LLM Inference by Leveraging Language Model Artifacts
NAACL 2025
Adapting LLM Agents with Universal Communication Feedback
NAACL 2025
Ignore the KL Penalty! Boosting Exploration on Critical Tokens to Enhance RL Fine-Tuning
NAACL 2025
Learning to Search Effective Example Sequences for In-Context Learning
NAACL 2025
From Intentions to Techniques: A Comprehensive Taxonomy and Challenges in Text Watermarking for Large Language Models
NAACL 2025
M-IFEval: Multilingual Instruction-Following Evaluation
NAACL 2025
Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models
NAACL 2025
CAPE: A Chinese Dataset for Appraisal-based Emotional Generation in Large Language Models
NAACL 2025
Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models
NAACL 2025
Weight-based Analysis of Detokenization in Language Models: Understanding the First Stage of Inference Without Inference
NAACL 2025
DiPT: Enhancing LLM Reasoning through Diversified Perspective-Taking
NAACL 2025
SOLID: Self-seeding and Multi-intent Self-instructing LLMs for Generating Intent-aware Information-Seeking Dialogs
NAACL 2025
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification
NAACL 2025
Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context
NAACL 2025
Text Annotation via Inductive Coding: Comparing Human Experts to LLMs in Qualitative Data Analysis
NAACL 2025
Investigating the Zone of Proximal Development of Language Models for In-Context Learning
NAACL 2025
Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction
NAACL 2025
Exploring Backward Reasoning in Large Language Models
NAACL 2025
Dynamic Guided and Domain Applicable Safeguards for Enhanced Security in Large Language Models
NAACL 2025
VisualCoder: Guiding Large Language Models in Code Execution with Fine-grained Multimodal Chain-of-Thought Reasoning
NAACL 2025
Optimizing LLMs for Italian: Reducing Token Fertility and Enhancing Efficiency Through Vocabulary Adaptation
NAACL 2025
LLMs for Extremely Low-Resource Finno-Ugric Languages
NAACL 2025
LOFT: Scalable and More Realistic Long-Context Evaluation
NAACL 2025
On the Influence of Context Size and Model Choice in Retrieval-Augmented Generation Systems
NAACL 2025
Rationale Behind Essay Scores: Enhancing S-LLM’s Multi-Trait Essay Scoring with Rationale Generated by LLMs
NAACL 2025
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