Random Rule Forest (RRF): Interpretable Ensembles of LLM-Generated Questions for Predicting Startup Success
Fuente:
arXiv
Saved in:
| Main Authors: | Griffin, Ben, Vidaurre, Diego, Koyluoglu, Ugur, Ternasky, Joseph, Alican, Fuat, Ihlamur, Yigit |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Reasoning-Based AI for Startup Evaluation (R.A.I.S.E.): A Memory-Augmented, Multi-Step Decision Framework
by: Preuveneers, Jack, et al.
Published: (2025)
by: Preuveneers, Jack, et al.
Published: (2025)
Policy Induction: Predicting Startup Success via Explainable Memory-Augmented In-Context Learning
by: Mu, Xianling, et al.
Published: (2025)
by: Mu, Xianling, et al.
Published: (2025)
SSFF: Investigating LLM Predictive Capabilities for Startup Success through a Multi-Agent Framework with Enhanced Explainability and Performance
by: Wang, Xisen, et al.
Published: (2024)
by: Wang, Xisen, et al.
Published: (2024)
Beyond Picking Winners: Correlation-Driven Tail Risk in Venture Capital Portfolio Construction
by: Liang, Yunqi, et al.
Published: (2026)
by: Liang, Yunqi, et al.
Published: (2026)
Probabilistic Modeling of Venture Capital Portfolio Outliers
by: Sakamoto, Kensei, et al.
Published: (2026)
by: Sakamoto, Kensei, et al.
Published: (2026)
LLM-AR: LLM-powered Automated Reasoning Framework
by: Chen, Rick, et al.
Published: (2025)
by: Chen, Rick, et al.
Published: (2025)
CoFEE: Reasoning Control for LLM-Based Feature Discovery
by: Westermann, Maximilian, et al.
Published: (2026)
by: Westermann, Maximilian, et al.
Published: (2026)
From Stochastic Answers to Verifiable Reasoning: Interpretable Decision-Making with LLM-Generated Code
by: Mahesh, Anirudh Jaidev, et al.
Published: (2026)
by: Mahesh, Anirudh Jaidev, et al.
Published: (2026)
PHBench: A Benchmark for Predicting Startup Series A Funding from Product Hunt Launch Signals
by: Ihlamur, Yagiz, et al.
Published: (2026)
by: Ihlamur, Yagiz, et al.
Published: (2026)
Diverse LLMs or Diverse Question Interpretations? That is the Ensembling Question
by: Rosales, Rafael, et al.
Published: (2025)
by: Rosales, Rafael, et al.
Published: (2025)
GPTree: Towards Explainable Decision-Making via LLM-powered Decision Trees
by: Xiong, Sichao, et al.
Published: (2024)
by: Xiong, Sichao, et al.
Published: (2024)
5C Prompt Contracts: A Minimalist, Creative-Friendly, Token-Efficient Design Framework for Individual and SME LLM Usage
by: Ari, Ugur
Published: (2025)
by: Ari, Ugur
Published: (2025)
TRACE: Temporal Rule-Anchored Chain-of-Evidence on Knowledge Graphs for Interpretable Stock Movement Prediction
by: Ding, Qianggang, et al.
Published: (2026)
by: Ding, Qianggang, et al.
Published: (2026)
GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification
by: Pei, Te, et al.
Published: (2025)
by: Pei, Te, et al.
Published: (2025)
VCBench: Benchmarking LLMs in Venture Capital
by: Chen, Rick, et al.
Published: (2025)
by: Chen, Rick, et al.
Published: (2025)
SAGE: Hierarchical LLM-Based Literary Evaluation through Ontology-Grounded Interpretive Dimensions
by: Wang, Tianyu, et al.
Published: (2026)
by: Wang, Tianyu, et al.
Published: (2026)
Calibrated Confidence Estimation for Tabular Question Answering
by: Voss, Lukas
Published: (2026)
by: Voss, Lukas
Published: (2026)
QuAnTS: Question Answering on Time Series
by: Divo, Felix, et al.
Published: (2025)
by: Divo, Felix, et al.
Published: (2025)
Toward Architecture-Aware Evaluation Metrics for LLM Agents
by: Souza, Débora, et al.
Published: (2026)
by: Souza, Débora, et al.
Published: (2026)
EdgeJury: Cross-Reviewed Small-Model Ensembles for Truthful Question Answering on Serverless Edge Inference
by: Kumar, Aayush
Published: (2025)
by: Kumar, Aayush
Published: (2025)
Ensembling Multilingual Transformers for Robust Sentiment Analysis of Tweets
by: Bilehsavar, Meysam Shirdel, et al.
Published: (2025)
by: Bilehsavar, Meysam Shirdel, et al.
Published: (2025)
Dialect Normalization using Large Language Models and Morphological Rules
by: Dimakis, Antonios, et al.
Published: (2025)
by: Dimakis, Antonios, et al.
Published: (2025)
A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19
by: Khandelwal, Vedant, et al.
Published: (2024)
by: Khandelwal, Vedant, et al.
Published: (2024)
Quantifying Genuine Awareness in Hallucination Prediction Beyond Question-Side Shortcuts
by: Seo, Yeongbin, et al.
Published: (2025)
by: Seo, Yeongbin, et al.
Published: (2025)
Enhancing Cross-Modal Contextual Congruence for Crowdfunding Success using Knowledge-infused Learning
by: Padhi, Trilok, et al.
Published: (2024)
by: Padhi, Trilok, et al.
Published: (2024)
ObfusQAte: A Proposed Framework to Evaluate LLM Robustness on Obfuscated Factual Question Answering
by: Ghosh, Shubhra, et al.
Published: (2025)
by: Ghosh, Shubhra, et al.
Published: (2025)
Predictive Simultaneous Interpretation: Harnessing Large Language Models for Democratizing Real-Time Multilingual Communication
by: Iida, Kurando, et al.
Published: (2024)
by: Iida, Kurando, et al.
Published: (2024)
From Untamed Black Box to Interpretable Pedagogical Orchestration: The Ensemble of Specialized LLMs Architecture for Adaptive Tutoring
by: Kadir, Nizam
Published: (2026)
by: Kadir, Nizam
Published: (2026)
Comonadic Morphophonology: A Compositional Framework for Context-Dependent Morphological Rules in Finnish
by: Jang, Yongseok
Published: (2026)
by: Jang, Yongseok
Published: (2026)
Intrinsic Evaluation of RAG Systems for Deep-Logic Questions
by: Hu, Junyi, et al.
Published: (2024)
by: Hu, Junyi, et al.
Published: (2024)
An Ensemble Embedding Approach for Improving Semantic Caching Performance in LLM-based Systems
by: Ghaffari, Shervin, et al.
Published: (2025)
by: Ghaffari, Shervin, et al.
Published: (2025)
From Noise to Diversity: Random Embedding Injection in LLM Reasoning
by: Kim, Heejun, et al.
Published: (2026)
by: Kim, Heejun, et al.
Published: (2026)
Random Heterogeneous Neurochaos Learning Architecture for Data Classification
by: S, Remya Ajai A, et al.
Published: (2024)
by: S, Remya Ajai A, et al.
Published: (2024)
KnowThyself: An Agentic Assistant for LLM Interpretability
by: Prasai, Suraj, et al.
Published: (2025)
by: Prasai, Suraj, et al.
Published: (2025)
GroUSE: A Benchmark to Evaluate Evaluators in Grounded Question Answering
by: Muller, Sacha, et al.
Published: (2024)
by: Muller, Sacha, et al.
Published: (2024)
Random Scaling of Emergent Capabilities
by: Zhao, Rosie, et al.
Published: (2025)
by: Zhao, Rosie, et al.
Published: (2025)
The Paradox of Robustness: Decoupling Rule-Based Logic from Affective Noise in High-Stakes Decision-Making
by: Chun, Jon, et al.
Published: (2026)
by: Chun, Jon, et al.
Published: (2026)
Graph Guided Question Answer Generation for Procedural Question-Answering
by: Pham, Hai X., et al.
Published: (2024)
by: Pham, Hai X., et al.
Published: (2024)
Improving Fuzzy Rule Classifier with Brain Storm Optimization and Rule Modification
by: Huang, Yan, et al.
Published: (2024)
by: Huang, Yan, et al.
Published: (2024)
MIX : a Multi-task Learning Approach to Solve Open-Domain Question Answering
by: Chaybouti, Sofian, et al.
Published: (2020)
by: Chaybouti, Sofian, et al.
Published: (2020)
Similar Items
-
Reasoning-Based AI for Startup Evaluation (R.A.I.S.E.): A Memory-Augmented, Multi-Step Decision Framework
by: Preuveneers, Jack, et al.
Published: (2025) -
Policy Induction: Predicting Startup Success via Explainable Memory-Augmented In-Context Learning
by: Mu, Xianling, et al.
Published: (2025) -
SSFF: Investigating LLM Predictive Capabilities for Startup Success through a Multi-Agent Framework with Enhanced Explainability and Performance
by: Wang, Xisen, et al.
Published: (2024) -
Beyond Picking Winners: Correlation-Driven Tail Risk in Venture Capital Portfolio Construction
by: Liang, Yunqi, et al.
Published: (2026) -
Probabilistic Modeling of Venture Capital Portfolio Outliers
by: Sakamoto, Kensei, et al.
Published: (2026)