Tag
提出 KnowForge，一种按角色分工的多智能体检索增强问答管线（Locator、bridge judge、Deep Reader、Synthesizer），在开放域多模态文档 QA 基准上显著超越单智能体 RAG 与已发布系统。
AdaMem introduces a relevance-guided soft-compression framework that adaptively allocates memory tokens in retrieval-augmented generation, outperforming uniform allocation methods with improved accuracy and reduced latency.
This paper proposes Archive, a framework for ambiguity detection in open-domain QA that distinguishes ambiguity from answer diversity using logical conflict, and introduces QuireQA, a 4,703-query benchmark. Experiments show Archive improves F1 by up to 21.6% while being 16x faster than competitors.
TabRank introduces a framework for training reasoning rerankers for tabular retrieval by distilling chain-of-thought traces from a large reasoning model (DeepSeek-R1) into compact student models, achieving significant improvements across multiple table retrieval benchmarks.