·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Here’s what Samsung’s smart glasses actually look like1h◆Arcee, a US open source AI lab, says Chinese models are not inherently dangerous1h◆Substack’s new tool tells you who’s been writing their newsletters with AI1h◆OpenAI’s AI spending spree has ballooned to $750B2h◆AMD commits up to $5 billion to Anthropic3h◆Menlo Ventures’ Matt Murphy explains what AI startups founders must do differently4h◆The browser wars aren’t about search anymore — here are the best alternatives to Chrome and Safari4h◆Building AI infrastructure with the Effingham County community5h◆3 Google updates from Galaxy Unpacked 20265h◆Passionfroot raises $15M to expand its B2B creator marketplace to the US5h◆Advancing the next era of national science6h◆Meta made its own AI detection system. It should have just used Google’s7h◆Utility companies promise to spare us from AI’s energy bill8h◆Glow emerges from stealth at $1.2B valuation to challenge endpoint security in the AI era8h◆Synthesia’s AI training platform is moving beyond videos into live coaching10h◆Introducing OpenAI Presence12h◆SkillSight: Seeing Through Shared Descriptions for Accurate Skill Retrieval14h◆DBMol: Design of High-Affinity, Target-Specific Small Molecules through Structure Prediction Models14h◆HPD-Parsing: Hierarchical Parallel Document Parsing14h◆Incomplete Observations Boost Evolutionary Performance in Ocean Modeling14h◆Here’s what Samsung’s smart glasses actually look like1h◆Arcee, a US open source AI lab, says Chinese models are not inherently dangerous1h◆Substack’s new tool tells you who’s been writing their newsletters with AI1h◆OpenAI’s AI spending spree has ballooned to $750B2h◆AMD commits up to $5 billion to Anthropic3h◆Menlo Ventures’ Matt Murphy explains what AI startups founders must do differently4h◆The browser wars aren’t about search anymore — here are the best alternatives to Chrome and Safari4h◆Building AI infrastructure with the Effingham County community5h◆3 Google updates from Galaxy Unpacked 20265h◆Passionfroot raises $15M to expand its B2B creator marketplace to the US5h◆Advancing the next era of national science6h◆Meta made its own AI detection system. It should have just used Google’s7h◆Utility companies promise to spare us from AI’s energy bill8h◆Glow emerges from stealth at $1.2B valuation to challenge endpoint security in the AI era8h◆Synthesia’s AI training platform is moving beyond videos into live coaching10h◆Introducing OpenAI Presence12h◆SkillSight: Seeing Through Shared Descriptions for Accurate Skill Retrieval14h◆DBMol: Design of High-Affinity, Target-Specific Small Molecules through Structure Prediction Models14h◆HPD-Parsing: Hierarchical Parallel Document Parsing14h◆Incomplete Observations Boost Evolutionary Performance in Ocean Modeling14h◆
News/AutoIndex: Learning Representation Programs for Retrieval
arxiv
PublishedJuly 22, 2026 at 4:00 AM

AutoIndex: Learning Representation Programs for Retrieval

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2607.18603v1 Announce Type: cross Abstract: We present AutoIndex, a framework for learning representation programs: executable transformations that map raw documents into the representations exposed to a retrieval system. Rather than tuning retrievers, rerankers, or a small set of preprocessin

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivSkillSight: Seeing Through Shared Descriptions for Accurate Skill Retrieval14harxivDBMol: Design of High-Affinity, Target-Specific Small Molecules through Structure Prediction Models14harxivHPD-Parsing: Hierarchical Parallel Document Parsing14harxivIncomplete Observations Boost Evolutionary Performance in Ocean Modeling14h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews