Latest Articles for Computational Linguistics

Learn how RST-LoRA improves summarization using Rhetorical Structure Theory.

A study on word embeddings in Turkish, evaluating static and contextual models.

New benchmark assesses toxicity in large language models across various languages.

Study reveals language models utilize complex, multi-dimensional features for language processing.

A new way to improve transformer models using adaptable positional encoding techniques.

A study using TDA reveals historical links between languages through word embeddings.

This article discusses extending context windows in language models using positional vectors.

Examining why larger models struggle with in-context learning compared to smaller ones.

Discover how Extended Mind Transformers improve memory handling in language models.

Exploring multi-label classification to enhance discourse relation recognition.

ABEX uses Abstract-and-Expand to enhance training data for natural language understanding tasks.

New methods enhance explicit definitions in description logics for clearer knowledge representation.

A new method for effective word and sentence representations in natural language processing.

A new approach enhances translation speed and accuracy through dynamic retrieval techniques.

A new approach enhances translation quality by teaching models to reflect on their outputs.

A look at advancements in language models for Indic languages and their challenges.

This framework improves predictions for language models, especially in low-resource settings.

Research shows consistent response styles improve LLM effectiveness with fewer examples.

Advancements in fine-tuning language models using innovative techniques.

This article discusses the adaptation of language models for improved support across various languages.

A benchmark of minimal pairs aims to improve understanding of Russian grammar by language models.

Explore how temperature settings influence text generation in language models.

This article analyzes repetitive structures in text generated by language models.

A new tool enhances Discourse Representation Theory parsing accuracy.

A new method improves the selection of data mixtures for language model training.

An overview of how language models like Transformers operate and their significance.

Examining the role of semantic graphs in simplifying sentences with large language models.

A novel method enhances language model performance by addressing uncertainty in text generation.

Examining the evolution of Spanish word meanings influenced by social changes.

This study enhances prompt templates for improved performance in language models.

This article explores computer models in understanding construction grammar and language learning.

Examining the role and challenges of tokenization in natural language processing.

Discover how vocabulary size influences the performance of large language models.

A new method for generating realistic handwritten text across languages.

Examining how language models analyze shifts in word meanings.

New models improve language understanding by integrating dependency structures.

A new model improves understanding of language through structured data representation.

A new approach to coreference resolution that balances performance and resource use.

Innovative techniques improve efficiency and accuracy in multilingual translations.

A new method enhances language models' ability to handle noisy contexts.