DuckDuckGo pitches itself to schools amid backlash over Google’s AI policy
DuckDuckGo is courting schools frustrated by Google's AI restrictions, pointing educators to its search engine and options to disable AI features.
Daily edition · Information Retrieval
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7 articles · 2 sources · 6 papers ·
Top topics: Information Retrieval · AI Research · AI
Preprocessing Choices in Fine-Tuning Data Matter: Utility and Demographic Sensitivity in LLM-Based Recommendation
arXiv:2611.03113v1 Announce Type: cross Abstract: Large language models (LLMs) have introduced a generative approach to recommendation, producing item lists from textual representations of user histories and item…
Do Neural Retrievers Prefer Certain Documents? Evidence of Learned Relevance Priors
arXiv:2606.02814v2 Announce Type: replace-cross Abstract: Neural retrievers are trained to estimate query-document relevance from annotated query-document pairs. Yet annotation protocols may not purely reflect…
MediaWiki Code2Code Search: Neural Retrieval for the Semantic Discovery of Open-Source Software Entities
arXiv:2607.26766v2 Announce Type: replace-cross Abstract: Code search in large-scale ecosystems is often hindered by the lexical gap between user queries and implementation details, alongside the trade-off between the…
Dh\={a}r\={a} Bench: An Evidence-Oriented Retrieval Benchmark for Indian Knowledge Systems
arXiv:2611.03196v1 Announce Type: cross Abstract: Dh\={a}r\={a} Bench is a retrieval benchmark for Indian Knowledge Systems (IKS), with 325 questions in 12 categories and 60,121 text chunks from 15 source groups. The…
CompSkill: Compiling Execution Experience for Skill Retrieval
arXiv:2611.01115v1 Announce Type: new Abstract: LLM agents increasingly rely on skill documents, yet most retrievers rank them by description alone and ignore what earlier executions revealed, even though a relevant…
An Experimental Study of Hybrid Retrieval, NLI and Open-source LLMs for Scientific Claim Verification
arXiv:2611.03093v1 Announce Type: new Abstract: Claim verification is the task of deciding whether a source text supports a claim, contradicts it, or lacks sufficient evidence. Natural Language Inference (NLI) models…