arXiv (OAI Expanded)
open access
PEARL: Front-Loading Relational Chains for Multi-Hop Table Retrieval
While large language models (LLMs) have shown strong capabilities in tabular reasoning, retrieving relevant tables remains challenging due to the fragmented and relational structure of real-world data. Existing work typically relies on whole table representations that overlook cross-table semantics
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- PEARL: Front-Loading Relational Chains for Multi-Hop Table Retrieval#799505
- MOSCOPT: Mixture-of-Skills Collective Optimization for LLM Agents#1035610
- From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning#282788
- Distributed Representations of Words and Phrases and their Compositionality#6388
- Reasoning Quality Matters: Combating Reasoning Collapse in LLM-based Embedding Learning#1034376
Record · ID 798082
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive