HintMR: Eliciting Stronger Mathematical Reasoning in Small Language Models
HintMR: Eliciting Stronger Mathematical Reasoning in Small Language Models explores A hint-assisted reasoning framework that uses cooperative small language models to improve mathematical problem-solving.. Commercial viability score: 8/10 in LLM Reasoning.
Use This Via API or MCP
Use the canonical paper page as a proof artifact
This route is the stable paper-level surface for citations, viability, references, and downstream handoffs. Use it as the proof layer behind Signal Canvas, workspace creation, and launch-pack generation.
Owned Distribution
Subscribe to the weekly brief
Get the weekly shortlist of commercializable papers, benchmark movers, and proof receipts that matter for product execution.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $10K - $14K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisFrom Abstract to Contextual: What LLMs Still Cannot Do in MathematicsViability: 4.0
- Builds On ThisMitigating Distribution Sharpening in Math RLVR via Distribution-Aligned Hint Synthesis and Backward Hint AnnealingViability: 5.0
- Builds On ThisIs Mathematical Problem-Solving Expertise in Large Language Models Associated with Assessment Performance?Viability: 5.0
- Builds On ThisBeyond the Answer: Decoding the Behavior of LLMs as Scientific ReasonersViability: 3.0
- Builds On ThisReasoning over mathematical objects: on-policy reward modeling and test time aggregation
Related Resources
- What are the emerging techniques for improving LLM reasoning beyond simple pattern matching?(question)
- How do LLM reasoning traces contribute to more transparent and auditable AI systems?(question)
- How can understanding LLM reasoning traces lead to more trustworthy AI assistants in customer service?(question)