Daily edition · Information Retrieval
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32 articles · 5 sources · 28 papers ·
Top topics: Information Retrieval · AI · AI Research
John Crepezzi has spent his career building tools for other programmers—at Tumblr, at Square, and then at GitHub, where he worked on the merge queue and the early versions of Codespaces. He came to Jane Street to build…
John Crepezzi has spent his career building tools for other programmers—at Tumblr, at Square, and then at GitHub, where he worked on the merge queue and the early versions of Codespaces. He came to Jane Street to build…
Every search box you've ever shipped came with the same tax: a search endpoint, a spinner, a payload, and - if you took the SaaS route - a service that bills monthly to index what is usually a few hundred names the page…
arXiv:2610.21562v1 Announce Type: new Abstract: We use quantum machine learning techniques to develop a content-based media recommender system and evaluate its performance on TV programmes using textual descriptions…
arXiv:2510.26309v2 Announce Type: replace-cross Abstract: Regulatory compliance is an important requirement in many industrial and administrative settings. Yet compliance assessment remains difficult because regulatory…
arXiv:2610.21893v1 Announce Type: new Abstract: Context compression in long-running applications of large language models (LLMs) must preserve goal-relevant information, often before specific downstream questions are…
arXiv:2610.22017v1 Announce Type: cross Abstract: Retrieval-augmented generation over text-rich knowledge graphs requires identifying evidence that contributes to answering a question, rather than merely matching its…
arXiv:2603.20990v5 Announce Type: replace Abstract: Which properties of hard-negative supervision track dense-retriever transfer before training? We compare lexical noncoverage, frozenencoder similarity statistics,…
arXiv:2610.14730v2 Announce Type: replace Abstract: AI agents require specialised retrieval across domains and tasks, but adapting embedding models is constrained by costly manual training-data design. Here we introduce…
arXiv:2610.18616v2 Announce Type: replace-cross Abstract: Searching text-rich knowledge graphs requires following relations while examining textual evidence. Predefined graph interfaces constrain what evidence agents…
arXiv:2610.21300v1 Announce Type: cross Abstract: To show that a medical device complies with regulation, experts judge whether documents and records meet each requirement and record the judgment for others to verify.…
arXiv:2610.21877v1 Announce Type: new Abstract: While large language models (LLMs) offer strong semantic representations, their application to first-stage retrieval incurs substantial latency and storage costs. Neural…
arXiv:2608.13842v2 Announce Type: replace-cross Abstract: PLEASE CHECK AND REFER TO THE PUBLISHED VERSION OF THIS PAPER ON https://doi.org/10.5334/tismir.357 This paper presents the MPB Corpus, a dataset of Brazilian…
arXiv:2508.17715v2 Announce Type: replace Abstract: As more content generated by large language models (LLMs) floods into the Internet, information retrieval (IR) systems now face the challenge of distinguishing and…
arXiv:2610.21113v1 Announce Type: cross Abstract: Large-scale multi-agent ecosystems require mechanisms for discovering suitable agents without exposing entire registries to a large language model (LLM) orchestrator.…
arXiv:2610.21220v1 Announce Type: new Abstract: Recommender systems often need to balance multiple conflicting objectives. Controllable Multi-Objective Recommendation (CMOR) enables dynamic adjustment of objective…
arXiv:2610.20857v1 Announce Type: new Abstract: Finding a paper from an informal research idea requires more than matching topic words: relevant work may use different terminology, and its distinguishing mechanism may…
arXiv:2610.20913v1 Announce Type: new Abstract: We present TransX, a sequence-transduction framework and co-designed infrastructure for scaling industrial recommendation with explicit control over model-compute…
arXiv:2508.10068v3 Announce Type: replace-cross Abstract: Retrieval-Augmented Generation (RAG) has advanced repository-level code completion by retrieving external code snippets, API documentation, or type definitions…
arXiv:2607.01071v3 Announce Type: replace Abstract: Memory has emerged as a cornerstone of modern LLM-based agents, supporting their evolution from single-turn assistants to long-term collaborators. However, memory is…
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