3 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Answering questions and completing tasks over large document collections often requires connecting evidence spread across multiple documents, such as a project's approval recorded in one, its requirements in another, and its latest status in a third. Recent LLM agents approach this by iteratively searching the full cor...
AI Night-Scientist is introduced, an agentic framework that uses reinforcement learning to teach models when and how to depart from predictable reasoning to suggest creativity is a learnable, multi-level ability that can be shaped to help researchers reach ideas beyond those typically explored by LLMs.
This work critically examines the effectiveness of the most common metrics used in the field, such as BLEU, embeddings, and LLMs-as-judges, and finds strong evidence that employing ensembles of diverse evaluation metrics consistently outperforms single-evaluator methods.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
