arXiv AI
Aug 10
Factorized Hypothesis Search for Evidence-to-Taxonomy Retrieval
arXiv:2608. 06614v1 Announce Type: cross Abstract: Large-taxonomy retrieval often assumes that the input already expresses the target concept.
Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis
arXiv:2606. 13249v1 Announce Type: new Abstract: Maritime accident adjudication reports contain critical tribunal findings for root cause analysis (RCA), yet retrieving relevant precedents and drafting consistent reports from decades of records remains labor-intensive.
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arXiv AI
Jul 1
RARE: Redundancy-Aware Retrieval Evaluation Framework for High-Similarity Corpora
arXiv:2604. 19047v2 Announce Type: replace-cross Abstract: Existing QA benchmarks typically assume distinct documents with minimal overlap, yet real-world retrieval-augmented generation (RAG) systems operate on corpora such as financial reports, legal codes, and patents, where information is highly redundant and documents exhibit strong inter-document similarity.
arXiv AI
Jun 2
TrafficRAG: A Multimodal RAG Framework for Traffic Accident Liability Determination
arXiv:2606. 01737v1 Announce Type: new Abstract: Traffic accident liability analysis is a critical yet challenging task in intelligent transportation and legal assistance.
arXiv AI
Jul 22
M-RAG: Semantic Key-Value Indexing for Retrieval-Augmented Generation
arXiv:2603. 26667v2 Announce Type: replace-cross Abstract: Retrieval-augmented generation (RAG) turns external documents into evidence for large language models.
arXiv AI
Jun 30
Beyond the Reranker: Do RAG Retrieval Enhancements Help Once a Strong Reranker Is Present?
arXiv:2606. 28367v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) is routinely extended with methods meant to improve retrieval: query expansion, hierarchical and cross-document summarization, graph-based expansion, per-query routing, rank fusion, and corrective re-retrieval.
arXiv AI
22h ago
CoAL-RAG: A Complexity-Aware Legal Retrieval-Augmented Generation Method
arXiv:2608. 17536v1 Announce Type: cross Abstract: Legal consultation questions exhibit multi-level complexity.
Hugging Face Trending Papers
Jun 25
RecallRisk-BERT: A Multi-Task Framework for Post-Report Medical Device Recall Triage
Medical device recalls are a critical regulatory mechanism for protecting patient safety. The growing volume of FDA recall records presents challenges in post-report recall triage, severity assessment, and root-cause interpretation.
arXiv Machine Learning
Jun 26
RecallRisk-BERT: A Multi-Task Framework for Post-Report Medical Device Recall Triage
arXiv:2606. 27174v1 Announce Type: new Abstract: Medical device recalls are a critical regulatory mechanism for protecting patient safety.
arXiv AI
2d ago
Fine-grained Claim-level RAG Benchmark for Law
arXiv:2605. 21071v4 Announce Type: replace-cross Abstract: The rapid progress of large language models (LLMs) is shifting semantic search toward a question-answering paradigm, where users ask questions and LLMs generate responses.
arXiv AI
Jul 7
Submitted and Diagnostic Analysis of Full-Text Temporal Retrieval for LongEval-Sci
arXiv:2607. 04088v1 Announce Type: cross Abstract: LongEval-Sci evaluates scientific retrieval under collection change, where a system should be effective on the current corpus and remain usable as documents accumulate over time.
arXiv AI
Jul 31
GuidedRAG: Semantic Steering of Retrieval-Augmented Generation
arXiv:2607. 26071v1 Announce Type: cross Abstract: In this work, we propose GuidedRAG, a novel extension to traditional Retrieval-Augmented Generation (RAG) that introduces a dedicated selection stage and semantic steering during retrieval.
arXiv AI
Jun 4
QO-Bench: Diagnosing Query-Operator-Preserving Retrieval over Typed Event Tuples
arXiv:2606. 04646v1 Announce Type: cross Abstract: Many real-world questions over business, legal, and scientific corpora are natural-language versions of database-style queries over records latent in text.