This focuses on computational approaches to understanding, processing, and generating human languages.
The article presents a new framework called PROMST for optimizing prompts in multi-step tasks for Large Language Models (LLMs). Unlike previous methods, which work well for single-step tasks, PROMST is…
Continue readingThe paper evaluates the rationality and cognitive biases of seven Large Language Models (LLMs) using tasks from cognitive psychology. The LLMs display irrationality in these tasks, often providing incorrect answers…
Continue readingThe article discusses the lack of effective user participation in current language model-driven agents due to the vagueness commonly found in user instructions. To address this, the authors introduce Intention-in-Interaction…
Continue readingThe paper discusses the use of Large Language Models (LLMs) in education, particularly in the authoring of Intelligent Tutoring Systems. Although LLMs have potential, they often deviate from desired pedagogical…
Continue readingThe article discusses the role of large language models (LLMs) in chemistry, focusing on tasks such as drug discovery and material science. Despite the remarkable capabilities of LLMs in natural…
Continue readingThe researchers from Qatar Computing Research Institute share their experiences in building and deploying an application that uses Large Language Models (LLMs) for answering queries over private enterprise documents. They…
Continue readingThe rapid progress of foundation models has led to the prosperity of autonomous agents, which leverage the universal capabilities of these models for reasoning, decision-making, and environmental interaction. However, these…
Continue readingThe paper introduces a new method, Diffusion-ES, that combines gradient-free optimization with trajectory denoising to optimize non-differentiable objectives. This method is particularly useful in autonomous driving scenarios. Diffusion-ES samples trajectories…
Continue readingThis research paper discusses the issue of missing data in electronic patient records (EPRs) and its impact on clinical data analysis. The authors argue that missing data can lead to…
Continue readingThe article introduces ‘G-SciEdBERT’, a contextualized German Science Education BERT developed for scoring written responses to science questions in German. It is trained on a corpus of 50K German written…
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