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9 papers matching “retrieval” and 1 domain

1. Retrieval-augmented generationWeek 42Raise with clients

   CoverSynth: Coverage-Guided Generation of Retrieval Evaluation Sets

   It introduces CoverSynth, an automated framework that generates enterprise-grade retrieval evaluation sets from unannotated corpora to uncover failure modes and differentiate retrieval systems far more effectively than human-authored sets.

   • Reframes the problem
2. Retrieval-augmented generationWeek 42Read in full

   Beyond Retrieval Failure: Understanding Why LLMs Miss Evidence in Multi-Hop RAG

   The study demonstrates that apparent multi-hop retrieval failures often stem from search drift rather than retriever inadequacy, though recovering missing evidence primarily shifts errors to premature resolutions and abstentions.

   • Surprising result
   • Reframes the problem
3. Retrieval-augmented generationWeek 41Read in full

   UNREAL: Unifying Retrieval and Long-Context with a Single Model

   It introduces a single model-internal selection mechanism adding under 500K parameters to a frozen LLM that improves both multi-hop corpus retrieval recall and long-context inference speed.

4. Retrieval-augmented generationWeek 41Read in full

   RIT-RAG: Navigating Document Corpora with Retrieval-Induced Trees

   It improves agentic RAG accuracy on large enterprise documentation by dynamically constructing multi-document sub-trees from initial retrieval results to guide LLM exploration.

   • New benchmark
5. Retrieval-augmented generationWeek 40Raise with clients

   AGO AI Quality Gate: Evidence-First Release Decisions for Retrieval-Augmented Generation

   It introduces an evidence-first RAG release framework that reduces unsafe production deployments by treating LLM judges as fallible and quantifying regression risk probabilistically.

   • Reframes the problem
6. Retrieval-augmented generationWeek 40Skim it

   Re-ranking and Late Interaction Drive Retrieval Quality: A Controlled Comparison of RAG Strategies for Scientific Question Answering

   • New benchmark
7. Retrieval-augmented generationWeek 41Top 3Raise with clients

   Inverting Multi-Vector Visual Document Indices

   It demonstrates that multi-vector visual document indices stored in vector databases can be inverted to reconstruct document images, exposing 45% of sensitive tokens.

   • Surprising result
8. Retrieval-augmented generationWeek 40Top 3Read in full

   Equal Ranking Quality, Different Decisions: Measuring and Reducing Order Dependence in LLM Scorers

   It demonstrates that LLM rerankers with equivalent ranking metrics produce widely inconsistent downstream decisions due to candidate ordering, and introduces order-consistency fine-tuning to resolve the issue.

   • Surprising result
   • Reframes the problem
9. AI agentsWeek 41Read in full

   Accurate but Not Humble: Evaluating Epistemic Humility in LLM Agents under Knowledge Conflict

   Higher agent task accuracy does not correlate with epistemic humility, as high-performing models often detect knowledge conflicts during execution but fail to escalate or report unresolved uncertainty in incorrect answers.

   • New benchmark
   • Surprising result