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multi-hop-question-answering

topic3 events
papersTODAY 04:00 UTC

arXiv paper proposes traceable multi-hop navigation for knowledge graph question answering

A new arXiv preprint introduces an approach for multi-hop knowledge graph question answering that emphasizes how a model travels through a graph rather than only the answer it produces. The authors argue that prior systems typically optimize for final-answer accuracy, leaving the relational evidence path unexplained. The work, titled "Theseus in the Graph," aims to make those navigation steps traceable.

knowledge-graphs/question-answering/interpretability/research
papersSEP 10 04:00 UTC

EviMem proposes evidence-gap-driven iterative retrieval for long-term conversational memory

Researchers present EviMem, a retrieval method for long-term conversational memory that identifies gaps in the evidence gathered so far and iteratively fetches additional material across past sessions. The approach targets temporal and multi-hop questions where a single retrieval pass typically fails to locate relevant information. The paper is available as a revised version (v2) on arXiv.

retrieval/memory/conversational-ai/research