AI RESEARCH
FollowTable: A Benchmark for Instruction-Following Table Retrieval
arXiv CS.CL
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ArXi:2605.00400v1 Announce Type: cross Table Retrieval (TR) has traditionally been formulated as an ad-hoc retrieval problem, where relevance is primarily determined by topical semantic similarity. With the growing adoption of LLM-based agentic systems, access to structured data is increasingly instruction-driven, where relevance is conditional on explicit content and schema constraints rather than topical similarity alone.