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

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

• Recommendation Feedback Loops Shape Urban Income Segregation and Venue Visitation — Location-based recommender systems shape where people go in cities and learn from the visits they steer, forming a human-AI feedback loop. This feedback loop shapes whom people sh…
• Completeness and Cost of Retrieval Structures for Multi-Tool Requests in LLM Agents — An agent that must call several tools to fulfill a request fails when the tool retriever omits any one of them, yet tool retrievers are mostly built and evaluated on queries requi…
• Search When Needed, Proceed When Reliable: Metacognitive Reliability Supervision for Efficient Agentic Search — Efficient agentic search requires large language models (LLMs) to determine whether they can reliably proceed with their current knowledge or need additional external evidence. Su…
• Towards Trustworthy Multi-stakeholder Recommender Systems — Recommender system (RS) nowadays has to reflect, combine, and solve often contrasting requirements and expectations from dozens of stakeholders. In fact, the problem is even more …
• KITE: Retrieval as a Decision Procedure for Long-Term Conversational Memory — Many long-term memory systems for LLM agents are built around embedding-based retrieval. Al- though effective for semantic matching, similarity ranking alone does not establish wh…