QMSum
PulseAugur coverage of QMSum — every cluster mentioning QMSum across labs, papers, and developer communities, ranked by signal.
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GraphRAG evaluation metrics yield conflicting results based on judging instrument
A recent analysis highlights that the evaluation of retrieval-augmented generation (RAG) methods, particularly GraphRAG, can yield vastly different conclusions depending on the judging instrument. When evaluated by LLM …
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GRADRAG framework enhances multi-agent RAG systems with cross-component prompt adaptation
Researchers have developed GRADRAG, a new framework designed to improve retrieval-augmented generation (RAG) systems that utilize multiple large language model (LLM) agents. Unlike previous methods that optimize RAG com…
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New SSM adapters outperform LoRA for long-context fine-tuning
Researchers have developed a new parameter-efficient fine-tuning (PEFT) method called Hankel Reduced order Model (HRM) adapters, which utilize state space models (SSMs) for long-context fine-tuning. Unlike traditional P…