Evidence Retrieval

TL;DR for operators A retrieval system can find a useful first document and still be searching incorrectly afterward. That document may reveal a person, relationship, date, product, or policy that makes the missing evidence much easier to specify than it was from the original request. EviReform1 makes that change explicit: it reads initially retrieved evidence, generates new queries describing what remains unresolved, retrieves against those queries, preserves part of the original-question signal, and only then uses graph connections to consolidate evidence. The paper’s component tests indicate that this query reformulation accounts for most of the improvement; graph propagation adds a smaller, consistent increment. ...

Video is easy to collect and expensive to understand. That is the awkward little truth behind many enterprise “AI video intelligence” projects. A warehouse camera records everything. A body camera records everything. A meeting room system records everything. A field-service headset records everything. Then someone asks a very human question: who handled the device after lunch, what did they say, and was the machine hot when they touched it? ...