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](https://arxiv.org/abs/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](https://arxiv.org/html/2601.15849).