arXiv
FERN: Cross-Benchmark Table Retrieval for Text-to-SQL with Frozen Retrievers and Learned Ranking
Text-to-SQL systems over large pooled catalogs must first retrieve the tables a question needs.
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Hierarchical text embedding models offer variable-length representations, while quantization reduces...
arXiv
HARP: Training-Free Dual-Profile Agentic Communication for LLM-Based Recommendation
In LLM-based recommendation, memory acts as a user-level agent in a memory-augmented backbone.
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Existing sequential recommenders usually allocate a fixed computational budget to every item in a us...
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Language models increasingly support or automate information retrieval from document collections too...
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RATED: Reliability-Aware AI Agent Tool Retrieval via Execution Dynamics
As AI agents increasingly rely on external tools, accurate retrieval is essential for reliable behav...
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Dense-retrieval services must switch among embedding-prefix dimensions and index bit rates as latenc...
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ScholarCatalyst: A Benchmark for Retrieving Papers That Inspire New Research
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The same underlying computational problem is solved across unrelated fields under different names: r...
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Driving Video Retrieval for Complex Queries with Structured Grounding
Video retrieval at scale is central to data curation and safety validation in autonomous driving, wh...
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Do Neural Retrievers Prefer Certain Documents? Evidence of Learned Relevance Priors
Neural retrievers are trained to estimate query-document relevance from annotated query-document pai...
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GRASP: Plan-Guided Graph Retrieval with Adaptive Fusion and Reranking on Semi-Structured Knowledge Bases
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