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Question answering

topic2 events
papersTODAY 04:00 UTC

Retrieve-Localize-Generate Framework Targets Long-Term Conversational Memory QA

A new arXiv paper proposes a retrieve-localize-generate pipeline for retrieval-augmented generation aimed at answering questions over long-term conversation history. The authors argue that current RAG methods fall short in this setting and frame their approach as addressing those gaps. The work appears as a replacement submission on arXiv's computation and language listing.

rag/question-answering/conversational-memory/arxiv
papersTODAY 04:00 UTC

arXiv paper evaluates LoRA fine-tuning scale and rank for control-systems Q&A

A new arXiv preprint examines how LoRA fine-tuning performs on question answering for a control-systems university course. The study measures results across model sizes and LoRA rank settings, since such questions demand consistent terminology, notation, derivations, and step-by-step reasoning. It appears to be a multidimensional evaluation of whether parameter-efficient tuning can handle specialized technical coursework.

lora/fine-tuning/education/evaluation