Daily edition · Information Retrieval
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23 articles · 3 sources · 23 papers ·
Top topics: Information Retrieval · AI · AI Research
arXiv:2610.32336v1 Announce Type: new Abstract: Retrieving the right skill from a large library is essential for LLM agents, yet requests and skills are written for different purposes and in different words. Existing…
arXiv:2610.31863v1 Announce Type: cross Abstract: If agricultural machinery is to support intelligent, offline assistance, then the system must access technical documentation dynamically. In this paper, the Semantic…
arXiv:2610.31932v1 Announce Type: new Abstract: Late-interaction models offer state-of-the-art efficiency-effectiveness trade-offs for neural retrieval by enabling document representations to be pre-computed and…
arXiv:2610.31959v1 Announce Type: new Abstract: Short-term building load forecasting remains challenging because load patterns can change rapidly with weather and operating conditions. Data-driven forecasting models may…
arXiv:2610.32608v1 Announce Type: new Abstract: Public-service queries can mention several locations while only one controls the requested service. We study this distinction in UAE GovTrust, a controlled English-Arabic…
arXiv:2610.32420v1 Announce Type: new Abstract: Emerging e-commerce platforms, such as live-streaming and Online-to-Offline (O2O) services, inherently operate under a "Container-based" display paradigm. In this setting,…
arXiv:2610.32164v1 Announce Type: new Abstract: Existing personalized information retrieval methods mainly model differences in user needs through user preferences and query intent, while paying little attention to the…
arXiv:2610.32980v1 Announce Type: new Abstract: Generative recommenders retrieve items by writing their semantic IDs (SIDs) code by code under trie-constrained beam search, an approach now deployed on large web…
arXiv:2602.02154v3 Announce Type: replace-cross Abstract: Prior to modern Earth observation technologies, historical maps provide a unique record of long-term urban transformation and offer a lens on the evolving…
arXiv:2610.32616v1 Announce Type: new Abstract: Pharmaceutical companies maintain vast archives of legacy preclinical study reports that contain study-context details, such as fasting, anesthesia, and laboratory…
arXiv:2606.09109v3 Announce Type: replace-cross Abstract: Video retrieval at scale is central to data curation and safety validation in autonomous driving, where users want to find not only scenes but also dynamic…
arXiv:2610.32943v1 Announce Type: new Abstract: Generative recommendation with semantic IDs represents each item as a sequence of discrete codes derived from its semantic representation and predicts these codes to…
arXiv:2610.32015v1 Announce Type: cross Abstract: The focus of this paper is on query processing and not search (approximate or exact). The goal is to find all or k answers and the expressiveness of a query (as opposed…
arXiv:2610.32464v1 Announce Type: new Abstract: Information retrieval has long been focusing on connecting people with information they need to complete their tasks. Recently, the meaning of this has changed…
arXiv:2610.32318v1 Announce Type: cross Abstract: System One models, or decision models, answer a question about an input with a calibrated probability instead of generated text. Within weeks of the first release, in…
arXiv:2610.32781v1 Announce Type: cross Abstract: Hospitals regularly buy software that clinicians and patients depend on. Because these purchases are costly, hard to reverse and can affect patient care, buyers look for…
arXiv:2610.30843v2 Announce Type: replace-cross Abstract: We introduce Lean Finder V2, a semantic search framework for Mathlib that disambiguates user queries through complementary model-level adversarial training and…
arXiv:2610.31821v1 Announce Type: cross Abstract: How well a poetry archive can be searched depends on what the user still remembers, not only on what the model understands. We show this for Classical Arabic poetry,…
arXiv:2610.31874v1 Announce Type: cross Abstract: Computational framing analysis is dominated by supervised classifiers that require large annotated corpora and predefined frame taxonomies, limiting their use for…
arXiv:2610.32098v1 Announce Type: new Abstract: Generative recommenders using semantic identifiers predict items through successive token decisions, but beam search may irreversibly prune promising item paths. This…
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