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Large Language Models

6405 directly classified papers

Papers per year

Papers

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
Ambiguity Detection and Uncertainty Calibration for Question Answering with Large Language Models NAACL 2025
Smaller Large Language Models Can Do Moral Self-Correction NAACL 2025
Break the Breakout: Reinventing LM Defense Against Jailbreak Attacks with Self-Refine NAACL 2025
Line of Duty: Evaluating LLM Self-Knowledge via Consistency in Feasibility Boundaries NAACL 2025
Multi-lingual Multi-turn Automated Red Teaming for LLMs NAACL 2025
Rainbow-Teaming for the Polish Language: A Reproducibility Study NAACL 2025
BiasEdit: Debiasing Stereotyped Language Models via Model Editing NAACL 2025
Know What You do Not Know: Verbalized Uncertainty Estimation Robustness on Corrupted Images in Vision-Language Models NAACL 2025
Summary the Savior: Harmful Keyword and Query-based Summarization for LLM Jailbreak Defense NAACL 2025
Bias A-head? Analyzing Bias in Transformer-Based Language Model Attention Heads NAACL 2025
Mimicking How Humans Interpret Out-of-Context Sentences Through Controlled Toxicity Decoding NAACL 2025
On the Robustness of Agentic Function Calling NAACL 2025
Monte Carlo Temperature: a robust sampling strategy for LLM’s uncertainty quantification methods NAACL 2025
Know Thyself: Validating Knowledge Awareness of LLM-based Persona Agents NAACL 2025
Building Safe GenAI Applications: An End-to-End Overview of Red Teaming for Large Language Models NAACL 2025
Are Small Language Models Ready to Compete with Large Language Models for Practical Applications? NAACL 2025
A Calibrated Reflection Approach for Enhancing Confidence Estimation in LLMs NAACL 2025
Evaluating Design Choices in Verifiable Generation with Open-source Models NAACL 2025
Battling Misinformation: An Empirical Study on Adversarial Factuality in Open-Source Large Language Models NAACL 2025
Gender Encoding Patterns in Pretrained Language Model Representations NAACL 2025
Revitalizing Saturated Benchmarks: A Weighted Metric Approach for Differentiating Large Language Model Performance NAACL 2025
Rationale Behind Essay Scores: Enhancing S-LLM’s Multi-Trait Essay Scoring with Rationale Generated by LLMs NAACL 2025