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Large Language Models

6405 directly classified papers

Papers per year

Papers

Enhancing Text-to-SQL with Question Classification and Multi-Agent Collaboration NAACL 2025
Unfolding the Headline: Iterative Self-Questioning for News Retrieval and Timeline Summarization NAACL 2025
RetrieverGuard: Empowering Information Retrieval to Combat LLM-Generated Misinformation NAACL 2025
A Closer Look into Mixture-of-Experts in Large Language Models NAACL 2025
CDB: A Unified Framework for Hope Speech Detection Through Counterfactual, Desire and Belief NAACL 2025
How Well Do LLMs Handle Cantonese? Benchmarking Cantonese Capabilities of Large Language Models NAACL 2025
Improving Reward Models with Synthetic Critiques NAACL 2025
Lost in the Distance: Large Language Models Struggle to Capture Long-Distance Relational Knowledge NAACL 2025
Re-evaluating Automatic LLM System Ranking for Alignment with Human Preference NAACL 2025
Richer Output for Richer Countries: Uncovering Geographical Disparities in Generated Stories and Travel Recommendations NAACL 2025
TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data NAACL 2025
From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs NAACL 2025
MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains NAACL 2025
Improving Consistency in LLM Inference using Probabilistic Tokenization NAACL 2025
WordGame: Efficient & Effective LLM Jailbreak via Simultaneous Obfuscation in Query and Response NAACL 2025
Human and LLM-Based Resume Matching: An Observational Study NAACL 2025
A Practical Examination of AI-Generated Text Detectors for Large Language Models NAACL 2025
Jailbreaking with Universal Multi-Prompts NAACL 2025
Enhancing Temporal Understanding in LLMs for Semi-structured Tables NAACL 2025
OLMES: A Standard for Language Model Evaluations NAACL 2025
Avoiding Copyright Infringement via Large Language Model Unlearning NAACL 2025
LLM-Generated Passphrases That Are Secure and Easy to Remember NAACL 2025
Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions NAACL 2025
From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization NAACL 2025
iai_MSU at SemEval-2025 Task-3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes in English SEMEVAL 2025