Cool Papers · cs.IR (papers.cool) · RSS 摘要

信源：Cool Papers · cs.IR (papers.cool) · https://papers.cool/arxiv/cs.IR/feed

• Humanity's Last Choice: A Common Evaluation Standard for Generative Engine Optimization — Humanity's Last Choice describes the idea that the last choice people need to make is which AI system they entrust with the decisions that follow. These systems rely on external s…
• LSNR: Learned Sparse News Recommendations with Attentive User Modeling — Current learned sparse approaches for recommender systems, such as STAR, represent a user by concatenating their interaction history into a single query string. For news, this cre…
• QD-Rec: Open-Ended Evolution of Recommendations via Quality-Diversity — Open-ended search combined with foundation models has produced advances such as faster algorithms, new results on open mathematical problems, and self-improving agents. We extend …
• Jev-as-a-Judge for Brazilian Portuguese Information Retrieval: Relevance Assessment and Reranking — This study investigates Jev, a System One model designed for fast, structured decision-making, in information retrieval. We use Jev-as-a-judge to generate relevance judgments for …
• Reasoning Reranking with Semantic IDs as the Sole Item Representation — Reasoning rerankers write a rationale before ranking a candidate slate, and existing systems read item metadata to do so, even though generative recommenders increasingly represen…