Latest Articles for Language Processing

A new dataset and method enhance language model question generation.

BlackMamba combines state-space models and mixture of experts for efficient language tasks.

Study explores how language models relate to human spatial understanding.

A new system aims to improve the analysis of Arabic nominals.

A look into the pitfalls of instruction tuning for AI language models.

Examining difficulties in recognizing languages in mixed-language communication.

Research enhances translation quality using context-aware methods and sequence shortening techniques.

An overview of skill learning and recognition in large language models.

Research on how prompt reformulation affects user satisfaction with language models.

A closer look at multilingual models' ability to transfer knowledge across languages.

This study examines how well dialogue systems handle German dialects.

This model improves sentence analysis for morphologically rich languages through joint segmentation and parsing.

Introducing a framework to improve efficiency and accuracy in language model reasoning.

Examining machine and human reasoning in language processing tasks.

This article presents a benchmark to assess large language models with complex tasks.

A look at how the VWFA processes written language and engages with other brain areas.

A method to improve language models for complex scientific applications.

Examining Mamba's capabilities and its hybrid model with Transformers.

This article examines the impact of noise on language model performance.

EoT prompting enhances reasoning capabilities of language models through diverse prompt generation.

Examining methods to enhance ChatGPT's classification of implicit discourse relations.

A look into brain processes during speech listening and understanding.

A study examines the fragile safety mechanisms in language models and proposes improvements.

This article examines how random changes affect the complexity of language recognition in automata.

Researchers explore LLMs for guiding robots' walking movements with text prompts.

Relative Preference Optimization improves alignment of language models with user expectations.

A simple comparison between LLMs and a two-player game reveals insights into their training.

A look into how we process language and meaning.

This article examines how Transformers solve problems using stepwise inference and graph models.

New methods enhance variety in translation outputs while maintaining quality.

Custom LLMs raise safety concerns, particularly with instruction backdoor attacks.

Enhancing Whisper's speech recognition for Vietnamese and other low-resource languages.

A novel approach ensures language models produce more accurate and reliable outputs.

Researchers reveal language models can reason without explicit prompts.

ReadAgent improves language models' ability to process long texts effectively.

BioMistral aims to advance language processing in healthcare with open-source technology.

A new method aims to reduce harmful outputs from AI language models.

A new approach enhances task-oriented dialogue systems using function calling.

LoRETTA improves fine-tuning efficiency for large language models with fewer parameters.

New methods to enhance continuous learning in language models while retaining past knowledge.