Learning to Ask: Information Acquisition for SLM-LLM Collaboration, under a budget

cs.AI

Submitted: 2026-10-01

Updated: 2026-10-01

Code: https://github.com/gitleaks/gitleaks

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• A Survey on Collaborative Mechanisms Between Large and Small Language Models
• Training Verifiers to Solve Math Word Problems
• The Llama 3 Herd of Models
• RelayLLM: Efficient Reasoning via Collaborative Decoding
• Guiding Reasoning in Small Language Models with LLM Assistance
• SWE-Prot'eg'e: Learning to Selectively Collaborate With an Expert Unlocks Small Language Models as Software Engineering Agents
• Qwen2.5 Technical Report
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• HybridFlow: A Flexible and Efficient RLHF Framework
• Gemma 4 Technical Report
• MiMo-V2-Flash Technical Report
• DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
• GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
• Local-First Intelligence via Proactive SLM Collaborating with Feedback-Providing LLM

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