AutoHint improves prompt quality for better language model performance.
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Cutting edge science explained simply
AutoHint improves prompt quality for better language model performance.
― 5 min read
A competition focused on identifying conspiracy theories in Telegram comments.
― 6 min read
Research introduces GPT-Negochat for effective real-time agreement tracking in negotiations.
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Learn about misclassification bias and methods to improve automated content analysis accuracy.
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A look at methods improving the training of language models effectively.
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A new framework enhances analysis and generation of Arabic poetry.
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This study focuses on advancing signing avatars for better understanding in sign language.
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New methods improve language model efficiency without sacrificing performance.
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This research offers a way to create natural dialogues while respecting privacy.
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This study presents methods for detecting fake news in the Bengali language.
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AI tools are transforming how we create and manage Knowledge Graphs.
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Assessing how language models generate accurate information using the FACTOR method.
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Exploring the vulnerabilities of language models to prompt extraction attacks.
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Examining how users perceive privacy risks in sharing sensitive information.
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An analysis of chatbot responses reveals insights and risks in polarizing discussions.
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Examining how emotional prompts affect large language models' performance.
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Research reveals harmful responses can emerge from safe questions during chatbot interactions.
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A new method improves predictions from clinical notes using language models.
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A look into improving translation systems using dependency subtree swapping.
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Analyzing electoral agitation on social media during Poland's 2020 presidential campaign.
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Exploring the significance and challenges of OOD detection in AI text processing.
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New techniques enhance the quality and efficiency of automated text generation.
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A new model enhances word learning using audio and images.
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Combining diverse data types improves predictions for ICU patient survival rates.
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This article examines how LLMs handle negated questions and proposes improvements.
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A method to enhance language models using unlabelled samples for text classification.
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A new dataset helps identify signs of depression and anxiety through speech analysis.
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A new model enhances news recommendations by blending individual and collective user insights.
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Examining how restaurant reviews affect perceptions of immigrant foods.
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MorphPiece improves tokenization by focusing on linguistic structure for better NLP performance.
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Improving LLMs by retrieving better examples for in-context learning.
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Examining how large language models can aid in credit risk evaluation.
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A new approach to detect and reduce hate speech online.
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Innovative methods improve heart disease detection using ECG data.
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HyTrel uses hypergraphs to enhance table understanding and processing.
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New methods improve summarization based on specific queries using contrastive learning.
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New framework optimizes model training through improved curricula discovery methods.
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A method to enhance Bengali text summarization using various models and ranking techniques.
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New dataset enhances video-text tasks for Indonesian speakers.
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This study examines how language models generate text from knowledge graphs.
― 7 min read