ScienceToStartup
TrendsTopicsSavedArticlesChangelogCareersAbout

113 Cherry St #92768

Seattle, WA 98104-2205

Backed by Research Labs
All systems operational

Product

  • Dashboard
  • Workspace
  • Build Loop
  • Research Map
  • Trends
  • Topics
  • Articles

Enterprise

  • TTO Dashboard
  • Scout Reports
  • RFP Marketplace
  • API

Resources

  • All Resources
  • Benchmark
  • Database
  • Dataset
  • Calculator
  • Glossary
  • State Reports
  • Industry Index
  • Directory
  • Templates
  • Alternatives
  • Changelog
  • FAQ
  • Docs

Company

  • About
  • Careers
  • For Media
  • Privacy Policy
  • Legal
  • Contact

Community

  • Open Source
  • Community
ScienceToStartup

Copyright © 2026 ScienceToStartup. All rights reserved.

Privacy Policy|Legal
  1. Home
  2. Signal Canvas
  3. Reasoning While Asking: Transforming Reasoning Large Languag
← Back to Paper

Reasoning While Asking: Transforming Reasoning Large Language Models from Passive Solvers to Proactive Inquirers

Fresh1d ago
Export BriefOpen in Build LoopConnect with Author
View PDF ↗
Viability
0.0/10

Compared to this week’s papers

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: pending

Distribution: unknown

Source paper: Reasoning While Asking: Transforming Reasoning Large Language Models from Passive Solvers to Proactive Inquirers

PDF: https://arxiv.org/pdf/2601.22139v1

First buyer signal: unknown

Distribution channel: unknown

Starting…

Dimensions overall score 7.0

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

Claim extraction is still pending for this paper. Check back after the next analysis run.

Competitive landscape

Competitor map is still being generated for this paper. Enable generation or check back soon.

Keep exploring

Builds On This
Finding the Cracks: Improving LLMs Reasoning with Paraphrastic Probing and Consistency Verification
Score 5.0down
Builds On This
Beyond the Answer: Decoding the Behavior of LLMs as Scientific Reasoners
Score 3.0down
Builds On This
Reasoning Promotes Robustness in Theory of Mind Tasks
Score 4.0down
Builds On This
LLM-Driven Multi-Turn Task-Oriented Dialogue Synthesis for Realistic Reasoning
Score 5.0down
Builds On This
Evolving from Tool User to Creator via Training-Free Experience Reuse in Multimodal Reasoning
Score 5.0down
Prior Work
Mirroring the Mind: Distilling Human-Like Metacognitive Strategies into Large Language Models
Score 7.0stable
Prior Work
SmartThinker: Progressive Chain-of-Thought Length Calibration for Efficient Large Language Model Reasoning
Score 7.0stable
Higher Viability
ProAct: Agentic Lookahead in Interactive Environments
Score 8.0up

Startup potential card

Startup potential card preview
Share on XLinkedIn

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Recommended Stack

FastAPIBackend
PyTorchML Framework
TensorFlowML Framework
JAXML Framework
KerasML Framework

Startup Essentials

Banana.dev

GPU Inference

Hugging Face Hub

ML Model Hub

Modal

Serverless GPU

Replicate

Run ML Models

Render

Deploy Backend

Railway

Full-Stack Deploy

Supabase

Backend & Auth

Vercel

Deploy Frontend

MVP Investment

$9K - $12K
6-10 weeks
Engineering
$8,000
Cloud Hosting
$240
SaaS Stack
$300
Domain & Legal
$100

6mo ROI

2-4x

3yr ROI

10-20x

Lightweight AI tools can reach profitability quickly. At $500/mo average contract, 20 customers = $10K MRR by 6mo, 200+ by 3yr.

Talent Scout

M

Min Yang

Artificial Intelligence Research Institute, Shenzhen University of Advanced Technology

X

Xin Chen

National Key Laboratory for Novel Software Technology, Nanjing University

F

Feng Jiang

Artificial Intelligence Research Institute, Shenzhen University of Advanced Technology

Y

Yiqian Zhang

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences

Find Similar Experts

AI/ML experts on LinkedIn & GitHub