Latest Articles for Language Models

A study reveals how prompt injection can compromise language models.

This study examines how well LLMs assess creativity in the Alternative Uses Test.

PEFT methods enhance language models while safeguarding private data.

A study on how well language models connect facts without shortcuts.

A new method for language models to enhance their responses through self-generated critiques.

How low-bit quantization affects large language models during training.

A new method automates news classification, saving time and resources for organizations.

Evaluating if language models can understand spatial relationships effectively.

Discover how to improve large language models in handling symmetric tasks.

Evaluating language models' abilities in synthetic data creation using AgoraBench.

How language models improve their understanding of grammar and sentence structures.

Exploring how transformers can express uncertainty to improve AI reliability.

Large language models excel in some areas but struggle with general tasks.

Discover how activation sparsity boosts AI efficiency and speed.

Explore the connections between language models and physical phenomena in an engaging way.

Researchers are improving AI's ability to tackle complex questions with AutoReason.

Researchers tackle biases in language models for Filipino, enhancing cultural relevance.

This article examines the complex role of English in multilingual evaluations.

Learn how Sloth is changing predictions for language model performance.

BatchTopK sparse autoencoders improve language processing through smart data selection.

Addressing challenges in Multi-Hop Question Answering for better AI responses.

Combining language models enhances instruction-following in chip design tasks.

Smaller language models show surprising advantages in evolving instructions over larger ones.

Explore how memory structures enhance communication in large language models.

A tool that clarifies peer review comments for authors.

A new benchmark to test LLM reasoning across cultural backgrounds.

Learn how hints can improve AI reasoning and problem-solving skills.

Optimize your prompts with iPrOp for better AI responses.

Learn how external knowledge improves language model accuracy and reliability.

ChainRank improves text reranking, keeping models sharp and relevant.

LLMs can create tailored false content, increasing risks of deception.

Large language models stumble on simple tasks like counting letters, raising questions about their abilities.

Fietje showcases the potential of focused language models for Dutch.

Learn how verbalized confidence scores enhance trust in language models.

Discover how language models can learn and adapt while avoiding harmful content.

RAG improves language models but faces challenges from misinformation attacks.

A new method helps language models handle complex tasks better.

Explore how Adaptive-Prompt improves learning in large language models.

A new approach for better prompts in AI language models.

Improving the readability of automated tests using language models.