MalAlgoQA dataset evaluates reasoning of Large Language Models in counterfactual scenarios.
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Computer Science - Computation and Language
RSSResearch shows tuning with English data may enhance multilingual information retrieval.
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A system that generates cooking recipes from images of food.
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HIGHT enhances language models by using hierarchical information from graph data.
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This study examines how visual and textual data affect model performance.
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MathCAMPS offers a fresh way to assess mathematical reasoning in language models.
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This work focuses on better number representation using digit embeddings for improved predictions.
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CD-T enhances understanding of transformer models, improving interpretation and trust.
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Research reveals language models struggle with false reasoning, raising safety concerns.
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A new approach enhances reasoning in language models by generating controlled errors.
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Examining the relationship between privacy techniques and biases in language models.
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This article examines methods for assessing text summaries using large language models.
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New method improves ASR systems' handling of various accents through specialized codebooks.
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BAPO enhances language models while retaining essential knowledge and user preferences.
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New methods improve accuracy and efficiency in speech recognition systems.
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Enhancements to BERT model for better handling of Turkish legal documents.
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New methods improve privacy and coherence using collocations in language data.
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A new method for rewriting text that ensures privacy and maintains meaning.
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A dataset to improve automated grading and feedback in engineering education.
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This study breaks down how transformers utilize context in language prediction.
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A new tool enhances Discourse Representation Theory parsing accuracy.
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Introducing GRASP, a benchmark for assessing spatial reasoning in language models.
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Exploring LLMs' effectiveness in decision-making through Dueling Bandits scenarios.
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Smaller open-source models offer effective solutions for automated essay and short answer scoring.
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Names from different countries impact how classifiers interpret social media content.
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Exploring how empathy enhances communication with robots and virtual assistants.
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Study reveals privacy risks and racial biases in Chicago police broadcasts.
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Analyzing how memes shape opinions through persuasive techniques.
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A new benchmark for assessing large language models in hypothesis testing.
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A framework to reduce bias in AI language models while maintaining accuracy.
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Evaluating methods to enhance long context performance in language models.
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ReGround3D improves understanding of human instructions in 3D environments.
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A new method improves the selection of data mixtures for language model training.
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A new method enhances LoRA's efficiency and effectiveness in machine learning.
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Exploring how synthetic data shapes machine learning models and their behavior.
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Simplified methods outperform complex agents in software problem-solving.
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DogeRM combines general and domain-specific models to enhance language model performance effectively.
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A new method improves user prompts for safer and more effective language model outputs.
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A look at Larimar's new approach to memory in language models.
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HyperLoader improves multi-task model training using innovative techniques and hypernetworks.
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