arXiv (All)
open access
Better Reasoning, Not Just Bigger Models: A Structure-Grounded Framework for Efficient and Reliable Inference
Scaling large language models has substantially improved linguistic fluency, yet reliable autonomous agents require more than fluent generation. In multi-turn inference, current agentic systems often produce semantically plausible but structurally ungrounded reasoning, especially under incomplete ob
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
- Escaping Redundant Reasoning: Structure-Aware Search for Inference-Time LLMs#820751
- Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models#984842
- Probing the Trajectories of Reasoning Traces in Large Language Models#1412496
- Planning with Transformers: Chain of Computation and Structured Context Windows#1296456
- GUT: Quantifying and Optimizing the Reasoning Uncertainty of LLMs via Graph Complexity#972220
Record · ID 1423403
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