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

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

• GACC-Bench: Benchmarking Goal-Adaptive Context Compression Ability across Large Language Models — Context compression in long-running applications of large language models (LLMs) must preserve goal-relevant information, often before specific downstream questions are known. We …
• Aligning LLMs with Sparse Retrieval via Adaptive Sparse Supervision — While large language models (LLMs) offer strong semantic representations, their application to first-stage retrieval incurs substantial latency and storage costs. Neural sparse re…
• VoteGEO-Bench: Measuring the Impact of Generative Engine Optimization on Electoral Visibility — Large language models (LLMs) are increasingly used for election information, yet little is known about how external web content shapes the political information they present. Gene…
• RecSoup: Efficient Model Merging Approach for Controllable Multi-Objective Recommendation — Recommender systems often need to balance multiple conflicting objectives. Controllable Multi-Objective Recommendation (CMOR) enables dynamic adjustment of objective trade-offs at…
• Learning When to Think: Utility-Guided Adaptive Reasoning for Efficient Text Retrieval — Reasoning-conditioned embeddings can improve retrieval by progressively refining semantic constraints. However, additional reasoning may introduce over-generalized or semantically…