The paper discusses the development of WildfireGPT, an LLM agent tailored for wildfire analysis. The model is designed to provide accurate, specific information on wildfire risks, enhanced with additional context…
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…
Continue readingThe article presents a study on the problem of generating plans for given natural language planning task requests. Large Language Models (LLMs) are great at natural language processing but not…
Continue readingThe paper introduces OpenToM, a new benchmark for evaluating the Neural Theory-of-Mind (N-ToM), the machine’s ability to understand and track the mental states of others. This benchmark addresses several shortcomings…
Continue readingThis research investigates the capabilities of Large Language Models (LLMs) in debate-based opinion consensus formation. It tests LLMs in environments involving humans only, agents and humans, and agents only. The…
Continue readingThis academic paper introduces DeAL, a framework for Decoding-time Alignment of Large Language Models (LLMs). Current techniques focus on aligning these models with human preferences at training time using Reinforcement…
Continue readingThis academic paper discusses the concept of introspective planning for Large Language Models (LLMs). These models, which are used in robots to understand natural language instructions and plan actions, often…
Continue readingThe paper discusses the challenges faced by Large Language Models (LLMs) when applied to general-purpose software systems like operating systems. These include maintaining an up-to-date understanding of vast and dynamic…
Continue readingThe paper discusses how large language models (LLMs) generate texts that often mix factual and non-factual claims, making it challenging to evaluate their factual precision. The researchers propose an enhanced…
Continue readingThis article discusses a novel method for aligning large language models (LLMs) with human values, using a social scene simulator called MATRIX. MATRIX emulates realistic social scenes based on user…
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