Researchers enhance Encoder-Decoder models to better predict sentence complexity using linguistic features.
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Computer Science - Computation and Language
RSSNew dataset enhances computer agents' ability to perform various tasks.
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A novel approach improves reasoning in neural networks by breaking tasks into stages.
― 6 min read
Study evaluates LLMs' ability to create culturally relevant question-answer data.
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Research focuses on improving ASR systems for unsegmented audio.
― 4 min read
MathSensei combines tools to improve solving math challenges effectively.
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A new framework to summarize peer reviews effectively.
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Examining performance gaps in speech recognition across different genders.
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Learn how LLMs can enhance insights from structured tabular data across various industries.
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This article examines the reliability of political views in large language models.
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A new benchmark assesses data handling skills of Large Language Models.
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Examining the impact of miscalibration on NLP models' resilience to adversarial attacks.
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A new benchmark for assessing Korean conversational abilities of language models.
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REAR enhances computer responses by prioritizing relevant information for better answers.
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A system that helps users read text easily in AR.
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A dual method for training and using language models efficiently.
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Gervásio aims to improve AI language tools for Portuguese speakers.
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A new model improves computer recognition of images through language understanding.
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This study examines if language models can match human forecasting abilities.
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Examining how machines recognize and represent human beliefs to improve social reasoning.
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New method improves sentence embeddings using multiple prompts for better accuracy.
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Discover why tokenization is key for computers to understand human language.
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LLMs enhance accuracy and error correction in speech recognition systems.
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Introducing a framework to improve stock prediction and explanations.
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A look into how LLaMA-2 processes language using structured reasoning.
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A study on the effects of instruction fine-tuning on model performance.
― 4 min read
New dataset DANSK enhances Danish NER performance across various texts.
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This article discusses improving accuracy in language models by managing knowledge conflicts.
― 7 min read
New framework improves how robots learn from visuals and language.
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NeuroPrune shrinks language models while maintaining performance, making them faster and more accessible.
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CLLMs enhance language generation speed and accuracy through refined training techniques.
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UniVS simplifies video segmentation tasks using prompts for better performance and versatility.
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This study examines gender bias in large language models across multiple languages.
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A look at EBBS and its role in enhancing translation quality.
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A new ensemble approach improves parsing of complex sentence structures.
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Examining the limitations of language models for generating planning definitions in diverse settings.
― 5 min read
TV-TREES improves video question answering with clear reasoning structures.
― 4 min read
A new method enhances testing robustness of language models by prioritizing novelty.
― 7 min read
New methods aim to better evaluate reasoning skills in AI language models.
― 6 min read
A new framework enhances multi-turn decision-making for language models.
― 7 min read