Maat: The Agentic Legal Research Assistant for Competition Protection
What the paper is about Competition law experts conducting legal research must review extensive volumes of cases, decisions, and judicial reports to identify...
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What the paper is about Competition law experts conducting legal research must review extensive volumes of cases, decisions, and judicial reports to identify...
What the paper is about ASP(Q) extends Answer Set Programming (ASP) with Quantifiers over answer sets.
What the paper is about An effective method of teaching across disciplines is to provide examples of high-quality work.
What the paper is about Knowledge graphs (KGs) can provide structured scientific context to language models, but it remains unclear which graph facts actuall...
What the paper is about Recent advances in large language models (LLMs) have facilitated the widespread deployment of LLMs as interactive agents capable of r...
What the paper is about Agentic AI systems combine probabilistic reasoning with delegated action through tools, context, memory, orchestration, and external...
What the paper is about Modern retrieval agents expose many configuration choices -- LLM, retriever, number of documents, number of hops, and synthesis strat...
What the paper is about Humans are the bottleneck in building and improving AI. Both the models and the agents that wrap them are written, tuned, and correct...
What the paper is about Large language model (LLM) agents rely on reusable skills to solve complex tasks.
What the paper is about AI Scientists have shown promising progress across multiple stages of the research pipeline, among which automatic scientific paper w...
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