arXiv (All)
open access
Taramandal-GPT: Enhancing Astrodynamics Problem-Solving with Knowledge Retrieval and Structured Thinking
Large language models (LLMs) have shown remarkable progress in natural language understanding, yet their effectiveness in specialized fields like astronomy and astrodynamics remains limited due to challenges in multi-step reasoning, symbolic manipulation, and domain-specific terminology. To address
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
- GenOR-Twin: A Semantic Middleware for Integrating Operational Discourse with Mathematical Optimization#1070319
- Construting Reverse Thinking: Developing Large Language Models' Reverse Thingking Ability#1051163
- Construting Reverse Thinking: Developing Large Language Models' Reverse Thingking Ability#1028750
- Emergence and Evolution of Natural Languages: New Mathematical and Algorithmic Perspectives#700422
- Representation Alignment as a Bottleneck in LLM-Based Retrosynthesis Planning#1130227
Record · ID 1050429
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