Latest Articles for Language Processing

Uncovering tricks that threaten smart language models and how to counter them.

New methods help AI models safely remove unwanted information.

Tackling the challenges of data collection in specialized, low-resource languages.

Discover the Byte Latent Transformer, a game changer in machine language understanding.

Discover how RWKV models reshape language processing for low-power devices.

Examining biases in AI language models and strategies for improvement.

INTERACT transforms language models into interactive learning partners through dialogue.

Using Codenames to challenge AI reasoning and strategic skills.

New model creates fonts for diverse languages, tackling design challenges efficiently.

Generics offer insights into language but can create misunderstandings in communication.

Language models can unintentionally share sensitive information, raising important concerns.

Researchers reveal flaws in NLI models using adversarial techniques.

Researchers tackle the challenge of helping language models forget copyrighted material.

A method to help language models know when to speak or stay silent.

A new framework boosts language models for low-resource languages.

A new method ensuring language models remain safe while performing effectively.

Discover the ongoing battle between open-source and closed-source language models.

New initiative tests AI's ability to handle nonsensical science questions.

Discover the vital role of attention heads in large language models.

Discover how token granularity shapes reading difficulty predictions in language models.

Explore innovative techniques improving language models and their applications.

An overview of Bangla QA systems and their development journey.

Researchers explore crowdsourcing methods to enhance language interpretation.

A new method enhances LLM efficiency by evaluating when to seek extra information.

GeLoRA simplifies and cuts costs for fine-tuning large language models.

Learn how language models use in-context learning and face challenges.

Discover how curriculum learning tackles noisy data in text generation.

Speech recognition technology enhances digit recognition, especially in noisy environments.

Researchers introduce a method to find factual errors in text summaries.

Enhancing multilingual ASR performance for Japanese through targeted fine-tuning.

A new method enables efficient trojan attacks on language models through broader concepts.

NAVCON helps machines understand navigation instructions through language and visual cues.

Exploring the potential of LLMs in identifying cause-and-effect relationships.

Research shows AI can learn visual concepts using only text descriptions.

Revolutionizing text generation by combining small and large models for faster performance.

Exploring how language models tackle reasoning tasks through Generalized Associative Recall.

Improving language models for Icelandic through innovative training methods.

LLMs are reshaping how we create and use embeddings for AI tasks.

Exploring the importance of developing large language models in local languages.

Learn how LLMs improve performance during predictions without extensive resources.