The Effect of Document Selection on Query-focused Text Analysis

2026-04-15T08:52:20Z91a40b17f9daea52a9ff2cf177d2f5d068ba66fe31b9207376cec34b0a1607dc
AdversarialCoTLLM reasoningRAGadversarial-mlchain-of-thoughtcold-startdocument-selectionhierarchical-indexingindustrial-deploymentinformation-retrievalmodel-robustnessopinion-aware-retrievalpdf-parsingpoisoningrecommendation-systemsretrieval-augmented-generationsingle-document poisoningtest-time-training

What happened

Collection highlights advances in retrieval, recommendation, and RAG pipelines plus a notable security paper: “AdversarialCoT” demonstrates a practical single-document poisoning attack against retrieval-augmented LLM reasoning. The attack crafts a query-specific adversarial chain-of-thought by iteratively probing the target LLM and refining one poisoned document, and a single such document can substantially degrade reasoning accuracy. Broader themes in the set (document selection effects, opinion-aware retrieval, PDF parsing/chunking, hierarchical indexing, recommendation and cold-start models

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_ir
Record identifier
91a40b17f9daea52a9ff2cf177d2f5d068ba66fe31b9207376cec34b0a1607dc
Enrichment time
2026-04-15T08:52:20Z
AI-assisted enrichment
Yes

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