Topic - Edition
In this demo, Nisa Meshal (Customer Engineer, Google) introduces BM25 on AlloyDB & Cloud SQL. Key highlights include: Introducing the BM25 index's use case & comparing it with other supported indexes. A demo showcasing…
PouchDB is the reason a lot of us believed offline-first was practical at all. It landed in 2012 with a simple, powerful idea: run a database in the browser that speaks the CouchDB replication protocol, and let the two…
arXiv:2609.12653v1 Announce Type: new Abstract: Russian state propaganda spreads across many languages and online spaces. Yet, most computational work examines only one such space, usually social media, in one or two…
arXiv:2609.12270v1 Announce Type: new Abstract: First-stage recommenders in multi-stage systems produce a ranked candidate list from which a limited prefix is forwarded to downstream rankers. Because each forwarded item…
arXiv:2609.12375v1 Announce Type: new Abstract: Modeling ultra-long user behavior sequences is crucial for industrial recommendation and online advertising, yet directly feeding thousands of historical actions into…
arXiv:2609.11953v1 Announce Type: new Abstract: Interaction initiation refers to presenting multiple candidate queries when a user opens an intelligent assistant before expressing any intent for the current session. In…
arXiv:2609.12842v1 Announce Type: new Abstract: Multi-interest recommendation represents each user with multiple interest vectors for fine-grained candidate matching, yet it often suffers from interest collapse, where…
arXiv:2609.12107v1 Announce Type: cross Abstract: Development and humanitarian organizations produce and support surveys, administrative registries, and other data resources to inform research, policy, and operations,…
arXiv:2609.12268v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) can improve knowledge-intensive question answering, but the first design choice is easy to overlook: how should the source corpus be…
arXiv:2509.11080v4 Announce Type: replace Abstract: Recommender systems (RecSys) have been widely applied to various applications, including E-commerce, finance, healthcare, social media and have become increasingly…
arXiv:2609.13073v1 Announce Type: cross Abstract: Recent breakthroughs in LLM-based systems and their abilities in problem solving and coding have allowed progress in the AI for Science paradigm, potentially replacing…
arXiv:2609.12791v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) has empowered Large Language Models (LLMs) to tackle knowledge-intensive tasks. However, navigating global, heterogeneous knowledge…
arXiv:2609.12399v1 Announce Type: cross Abstract: Generative recommendation (GR) relies on large-beam decoding to generate hundreds of candidate items, creating a new scaling challenge for recurrent linear attention.…
arXiv:2609.10046v2 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly used as interfaces for information retrieval, but they remain prone to hallucinations and faithfulness errors, in which…
arXiv:2606.10388v3 Announce Type: replace Abstract: Agent skill libraries are becoming routable software assets: a retrieved skill can contribute instructions, scripts, resource bindings, and execution assumptions to an…
arXiv:2603.18516v2 Announce Type: replace Abstract: Deep research agents have emerged as LLM-based systems designed to perform multi-step information seeking and reasoning over large, open-domain sources to answer…
arXiv:2609.11943v1 Announce Type: new Abstract: Recent advances in generative AI have substantially accelerated the creation of high-quality ad creatives, dramatically expanding the number of candidate variants per…
arXiv:2609.12679v1 Announce Type: new Abstract: Construction workers face workplace risks such as fatigue, heat stress, and other physically demanding conditions that can negatively affect their health and safety.…
arXiv:2609.12766v1 Announce Type: new Abstract: Offline replay should estimate what a discovery system could retrieve at a historical point, yet freezing the corpus leaves interaction memory unconstrained. We formalize…
arXiv:2609.12556v1 Announce Type: new Abstract: Long-sequence generative recommendation methods autoregressively model the user's interaction sequence to generate the next-item representation. Existing methods generally…
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