cgpt-cluster-guided-partial-tables-with-llm-genera

name	cgpt-cluster-guided-partial-tables-with-llm-genera
title	CGPT: Cluster-Guided Partial Tables with LLM-Generated Supervision for Table Retrieval
version	0.0.2
engine	skillxiv-v0.0.2-claude-opus-4.6
license	MIT
url	https://arxiv.org/abs/2601.15849
keywords	["model"]
description	Implement techniques from CGPT: Cluster-Guided Partial Tables with LLM-Generated Supervision for Table Retrieval. General-purpose embedding models have demonstrated strong performance in text retrieval but remain suboptimal for table retrieval, where highly structured content leads to semantic compression and query-table mismatch

Overview

This skill implements concepts from the research paper [2601.15849].

When to Use

• When you need to implement techniques described in this paper
• When working on problems that this research addresses
• When you want to understand the core concepts and methodology

When NOT to Use

• This skill provides research-level insights; production implementations may require additional engineering
• Some concepts may require significant tuning for specific use cases
• Always evaluate applicability to your specific problem domain

Key Concepts

The paper addresses: General-purpose embedding models have demonstrated strong performance in text retrieval but remain suboptimal for table retrieval, where highly structured content leads to semantic compression and query-table mismatch. Recent LLM-based retrieval augm...

For detailed methodology, refer to the full paper.