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Large Language Models

6405 directly classified papers

Papers per year

Papers

Effective Self-Mining of In-Context Examples for Unsupervised Machine Translation with LLMs NAACL 2025
Understanding and Controlling Repetition Neurons and Induction Heads in In-Context Learning IJCNLP 2025
MES-RAG: Bringing Multi-modal, Entity-Storage, and Secure Enhancements to RAG NAACL 2025
Language Arithmetics: Towards Systematic Language Neuron Identification and Manipulation IJCNLP 2025
How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM? NAACL 2025
ContrastScore: Towards Higher Quality, Less Biased, More Efficient Evaluation Metrics with Contrastive Evaluation IJCNLP 2025
How Well Do LLMs Handle Cantonese? Benchmarking Cantonese Capabilities of Large Language Models NAACL 2025
ReasoningWeekly: A General Knowledge and Verbal Reasoning Challenge for Large Language Models IJCNLP 2025
A Closer Look into Mixture-of-Experts in Large Language Models NAACL 2025
Cascaded Information Disclosure for Generalized Evaluation of Problem Solving Capabilities IJCNLP 2025
CodeRAG-Bench: Can Retrieval Augment Code Generation? NAACL 2025
Thank You, Stingray: Multilingual Large Language Models Can Not (Yet) Disambiguate Cross-Lingual Word Senses NAACL 2025
Probing-RAG: Self-Probing to Guide Language Models in Selective Document Retrieval NAACL 2025
Unlocking the Planning Capabilities of Large Language Models with Maximum Diversity Fine-tuning NAACL 2025
Challenges in Trustworthy Human Evaluation of Chatbots NAACL 2025
FACT: Examining the Effectiveness of Iterative Context Rewriting for Multi-fact Retrieval NAACL 2025
Multilingual Blending: Large Language Model Safety Alignment Evaluation with Language Mixture NAACL 2025
Mitigating Hallucinations in Multimodal Spatial Relations through Constraint-Aware Prompting NAACL 2025
Concise and Organized Perception Facilitates Reasoning in Large Language Models NAACL 2025
Verifiable Format Control for Large Language Model Generations NAACL 2025
Taxonomy and Analysis of Sensitive User Queries in Generative AI Search System NAACL 2025
TestEval: Benchmarking Large Language Models for Test Case Generation NAACL 2025
FLEX: A Benchmark for Evaluating Robustness of Fairness in Large Language Models NAACL 2025
When and How to Augment Your Input: Question Routing Helps Balance the Accuracy and Efficiency of Large Language Models 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