Cover Image

A Hybrid Ai Framework For Strategic Patent Portfolio Pruning: Integrating Learning To-Rank And Market Need Analysis For Technology Transfer Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Verma, Manish, Sharma, Vivek, Singh, Vishal
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Artificial Intelligence In Patent And Market Intelligence: A New Paradigm For Technology Scouting
by: Verma, Manish, et al.
Published: (2025)

PatentLMM: Large Multimodal Model for Generating Descriptions for Patent Figures
by: Shukla, Shreya, et al.
Published: (2025)

Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning
by: Sharma, Manish, et al.
Published: (2024)

AutoPatent: A Multi-Agent Framework for Automatic Patent Generation
by: Wang, Qiyao, et al.
Published: (2024)

Pruning for Generalization: A Transfer-Oriented Spatiotemporal Graph Framework
by: Jing, Zihao, et al.
Published: (2026)

Certificate-Guided Pruning for Stochastic Lipschitz Optimization
by: Shihab, Ibne Farabi, et al.
Published: (2026)

A Hybrid Framework for Reinsurance Optimization: Integrating Generative Models and Reinforcement Learning
by: Dong, Stella C.
Published: (2025)

TopoPrune: Robust Data Pruning via Unified Latent Space Topology
by: Roy, Arjun, et al.
Published: (2026)

Strategic Exploitation in LLM Agent Markets: A Simulation Framework for E-Commerce Trust
by: Lei, Shijun, et al.
Published: (2026)

Patent Value Characterization -- An Empirical Analysis of Elevator Industry Patents
by: Guan, Yuhang, et al.
Published: (2024)

RegimeFolio: A Regime Aware ML System for Sectoral Portfolio Optimization in Dynamic Markets
by: Zhang, Yiyao, et al.
Published: (2025)

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization
by: Coriat, Benjamin, et al.
Published: (2025)

PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation
by: Benedek, Nadav, et al.
Published: (2024)

SUMMIR: A Hallucination-Aware Framework for Ranking Sports Insights from LLMs
by: Kumar, Nitish, et al.
Published: (2026)

Data to Decisions: A Computational Framework to Identify skill requirements from Advertorial Data
by: Singh, Aakash, et al.
Published: (2025)

Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across Domains
by: Verma, Abhishek, et al.
Published: (2025)

Explicit and Implicit Semantic Ranking Framework
by: Zhu, Xiaofeng, et al.
Published: (2023)

Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization
by: Acero, Fernando, et al.
Published: (2024)

PatentVision: A multimodal method for drafting patent applications
by: Yang, Ruo, et al.
Published: (2025)

Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions
by: Ozdag, Mesut
Published: (2025)

PatentMind: A Multi-Aspect Reasoning Graph for Patent Similarity Evaluation
by: Yoo, Yongmin, et al.
Published: (2025)

EDGE: A Theoretical Framework for Misconception-Aware Adaptive Learning
by: Verma, Ananda Prakash
Published: (2025)

Reinforcement Learning-Based Co-Design and Operation of Chiller and Thermal Energy Storage for Cost-Optimal HVAC Systems
by: Srinivasa, Tanay Raghunandan, et al.
Published: (2026)

$\texttt{PatentAgent}$: Intelligent Agent for Automated Pharmaceutical Patent Analysis
by: Wang, Xin, et al.
Published: (2024)

A Multi-objective Complex Network Pruning Framework Based on Divide-and-conquer and Global Performance Impairment Ranking
by: Shang, Ronghua, et al.
Published: (2023)

Enhancing reasoning accuracy in large language models during inference time
by: Sharma, Vinay, et al.
Published: (2026)

Graph Pruning Based Spatial and Temporal Graph Convolutional Network with Transfer Learning for Traffic Prediction
by: Jing, Zihao
Published: (2024)

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study
by: Pitale, Mandar, et al.
Published: (2025)

PromptWizard: Task-Aware Prompt Optimization Framework
by: Agarwal, Eshaan, et al.
Published: (2024)

Beyond ESG Scores: Learning Dynamic Constraints for Sequential Portfolio Optimization
by: Li, Xin, et al.
Published: (2026)

PatentEval: Understanding Errors in Patent Generation
by: Zuo, You, et al.
Published: (2024)

Decision-informed Neural Networks with Large Language Model Integration for Portfolio Optimization
by: Hwang, Yoontae, et al.
Published: (2025)

Integrating Fairness and Model Pruning Through Bi-level Optimization
by: Dai, Yucong, et al.
Published: (2023)

ORPO-Distill: Mixed-Policy Preference Optimization for Cross-Architecture LLM Distillation
by: Singh, Aasheesh, et al.
Published: (2025)

Deep Reinforcement Learning Framework for Diversified Portfolio Management Across Global Equity Markets
by: Kashif, Kamil, et al.
Published: (2026)

A Causal Information-Flow Framework for Unbiased Learning-to-Rank
by: Gong, Haoming, et al.
Published: (2026)

Integrating Large Language Models in Financial Investments and Market Analysis: A Survey
by: Mahdavi, Sedigheh, et al.
Published: (2025)

Quantifying Automation Risk in High-Automation AI Systems: A Bayesian Framework for Failure Propagation and Optimal Oversight
by: Srivastava, Vishal, et al.
Published: (2026)

Knowledge Transfer based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis
by: Sharma, Arun K., et al.
Published: (2021)

Integrative CAM: Adaptive Layer Fusion for Comprehensive Interpretation of CNNs
by: Singh, Aniket K., et al.
Published: (2024)