Latest Articles for Language Models

New method enhances performance of language models through better example selection.

A new method enhances language models' reasoning capabilities through structured feedback.

A novel approach to improve the safety of language models without extensive retraining.

MATHWELL helps teachers create engaging math problems for K-8 students quickly.

New benchmark assesses LLMs' skills in interacting with multiple agents.

Research challenges traditional methods of evaluating language model values and opinions.

Researchers enhance Encoder-Decoder models to better predict sentence complexity using linguistic features.

A study on the effects of instruction fine-tuning on model performance.

This study evaluates the effectiveness of different learning approaches in multilingual natural language processing.

This article examines gender biases in language models and their implications.

A new method enhances fact checking in retrieval augmented generation systems.

A new benchmark assesses LLM performance on complex PowerPoint tasks.

iScore helps educators evaluate how well language models score written summaries.

Mipha combines visual and text understanding with smaller models for greater efficiency.

HILL helps users spot inaccuracies in language model responses.

TaxoLLaMA enhances understanding of word meanings and relationships for better language processing.

This paper explores how semantic decoding improves AI teamwork and outputs.

Adaptive-RAG improves answer accuracy by addressing question complexity.

Discover how language models can enhance our understanding of argument quality.

A study of techniques used to bypass safety measures in AI language models.

This article discusses the effectiveness of MCQs in testing LLMs compared to long-form questions.

MANGO benchmark tests language models for navigation and mapping in maze contexts.

This study evaluates cross-lingual performance of multilingual models in named entity recognition.

Study explores how language models work with humans and each other in task completion.

This article examines how language models handle pronouns and the implications for identity.

Exploring how Mamba recalls and edits facts differently than traditional models.

Examining a new method to exploit language models' weaknesses using low-resource languages.

A new method to shape LLM personalities using the Big Five traits.

Discover how language imbalance can improve multilingual model performance.

This study examines if language models make decisions like humans in strategic scenarios.

A new benchmark reveals gaps in visual understanding of large language models.

A look into the span-overlap method for enhanced sentence parsing.

Examining how names influence biases in language models.

A robust Japanese corpus created from Common Crawl data improves LLM performance.

This study investigates how language models respond to changing word meanings.

Examining how temperature influences creativity in language model-generated narratives.

Investigating positional bias in language models and ways to reduce it.

This study dissects how GPT-2 predicts three-letter acronyms.

Strategies to reduce overly cautious behavior in language models.

This framework improves text evaluation efficiency and accuracy using Large Language Models.