Structured Composition of Verifiable Atomic Insights for Table-to-Report Generation
cs.CL
Submitted: 2026-10-02
Updated: 2026-10-02
Code: https://github.com/langchain-ai/langchain
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Monte Carlo Tree Search for Table-to-Multimodal Report Generation
- Hunt Instead of Wait: Evaluating Deep Data Research on Large Language Models
- MMDeepResearch-Bench: A Benchmark for Multimodal Deep Research Agents
- EidosDoc: Implicit Structure Encoding for Cost-Effective Semi-Structured Document QA
- TopBench: A Benchmark for Implicit Predictive Reasoning in Tabular Question Answering
- SRAG: Structured Retrieval-Augmented Generation for Multi-Entity Question Answering over Wikipedia Graph
- LightKGG: Simple and Efficient Knowledge Graph Generation from Textual Data
- DocSage: An Information Structuring Agent for Multi-Doc Multi-Entity Question Answering
- Structure then Query: Enabling Precise Analytical Queries over Unstructured Documents
- AnnoRetrieve: Efficient Structured Retrieval for Unstructured Document Analysis
- InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks
- DataSciBench: An LLM Agent Benchmark for Data Science
- WebDS: An End-to-End Benchmark for Web-based Data Science
- MedInsightBench: Evaluating Medical Analytics Agents Through Multi-Step Insight Discovery in Multimodal Medical Data
- InsightLens: Augmenting LLM-Powered Data Analysis with Interactive Insight Management and Navigation
- DataCross: A Unified Benchmark and Agent Framework for Cross-Modal Heterogeneous Data Analysis
- DABstep: Data Agent Benchmark for Multi-step Reasoning
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