Buchumschlag

Accelerating Manufacturing Scale-Up from Material Discovery Using Agentic Web Navigation and Retrieval-Augmented AI for Process Engineering Schematics Design

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Srinivas, Sakhinana Sagar, Das, Akash, Gupta, Shivam, Runkana, Venkataramana
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Machine Learning Artificial Intelligence Information Retrieval Multiagent Systems
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2025)

Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2025)

Agentic Multimodal AI for Hyperpersonalized B2B and B2C Advertising in Competitive Markets: An AI-Driven Competitive Advertising Framework
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2025)

Agentic Retrieval-Augmented Generation for Time Series Analysis
von: Ravuru, Chidaksh, et al.
Veröffentlicht: (2024)

Towards Human-Level Understanding of Complex Process Engineering Schematics: A Pedagogical, Introspective Multi-Agent Framework for Open-Domain Question Answering
von: Sakhinana, Sagar Srinivas, et al.
Veröffentlicht: (2024)

Retrieval-Augmented Instruction Tuning for Automated Process Engineering Calculations : A Tool-Chaining Problem-Solving Framework with Attributable Reflection
von: Sakhinana, Sagar Srinivas, et al.
Veröffentlicht: (2024)

Crossing New Frontiers: Knowledge-Augmented Large Language Model Prompting for Zero-Shot Text-Based De Novo Molecule Design
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

Retrieval-Augmented Generation Meets Data-Driven Tabula Rasa Approach for Temporal Knowledge Graph Forecasting
von: Sannidhi, Geethan, et al.
Veröffentlicht: (2024)

Cross-Modal Learning for Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

CogPlanner: Unveiling the Potential of Agentic Multimodal Retrieval Augmented Generation with Planning
von: Yu, Xiaohan, et al.
Veröffentlicht: (2025)

Joint Hypergraph Rewiring and Memory-Augmented Forecasting Techniques in Digital Twin Technology
von: Sakhinana, Sagar Srinivas, et al.
Veröffentlicht: (2024)

Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

Knowledge Graph Modeling-Driven Large Language Model Operating System (LLM OS) for Task Automation in Process Engineering Problem-Solving
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

Caesar: Deep Agentic Web Exploration for Creative Answer Synthesis
von: Liang, Jason, et al.
Veröffentlicht: (2026)

Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series Representation Learning
von: Sakhinana, Sagar Srinivas, et al.
Veröffentlicht: (2024)

Multi-Knowledge Fusion Network for Time Series Representation Learning
von: Sakhinana, Sagar Srinivas, et al.
Veröffentlicht: (2024)

BLUEPRINT Rebuilding a Legacy: Multimodal Retrieval for Complex Engineering Drawings and Documents
von: Seefried, Ethan, et al.
Veröffentlicht: (2026)

Foundational Model for Electron Micrograph Analysis: Instruction-Tuning Small-Scale Language-and-Vision Assistant for Enterprise Adoption
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

Towards Automated Patent Workflows: AI-Orchestrated Multi-Agent Framework for Intellectual Property Management and Analysis
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

EMCNet : Graph-Nets for Electron Micrographs Classification
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

Battery GraphNets : Relational Learning for Lithium-ion Batteries(LiBs) Life Estimation
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

TechGraphRAG: An Agentic Graph-Augmented RAG Framework for Technical Literature Reasoning
von: Singh, Kanwar Bharat
Veröffentlicht: (2026)

Osprey: Production-Ready Agentic AI for Safety-Critical Control Systems
von: Hellert, Thorsten, et al.
Veröffentlicht: (2025)

Adversarial Yet Cooperative: Multi-Perspective Reasoning in Retrieved-Augmented Language Models
von: Xu, Can, et al.
Veröffentlicht: (2026)

Don't Retrieve, Navigate: Distilling Enterprise Knowledge into Navigable Agent Skills for QA and RAG
von: Sun, Yiqun, et al.
Veröffentlicht: (2026)

MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation
von: Wu, Chuanjie, et al.
Veröffentlicht: (2026)

Behind the Prompt: The Agent-User Problem in Information Retrieval
von: Zerhoudi, Saber, et al.
Veröffentlicht: (2026)

Reprogramming Foundational Large Language Models(LLMs) for Enterprise Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New Era in Copilot-Guided Cross-Modal Time Series Representation Learning
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

Advancing Enterprise Spatio-Temporal Forecasting Applications: Data Mining Meets Instruction Tuning of Language Models For Multi-modal Time Series Analysis in Low-Resource Settings
von: Sakhinana, Sagar Srinivas, et al.
Veröffentlicht: (2024)

Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation
von: Maragheh, Reza Yousefi, et al.
Veröffentlicht: (2025)

Sparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysis
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

Physics-Grounded Multi-Agent Architecture for Traceable, Risk-Aware Human-AI Decision Support in Manufacturing
von: Hoang, Danny, et al.
Veröffentlicht: (2026)

An Comparative Analysis about KYC on a Recommendation System Toward Agentic Recommendation System
von: Xu, Junjie H.
Veröffentlicht: (2025)

Agentic SPARQL: Evaluating SPARQL-MCP-powered Intelligent Agents on the Federated KGQA Benchmark
von: Dobriy, Daniel, et al.
Veröffentlicht: (2026)

Agentic Cognitive Profiling: Realigning Automated Alzheimer's Disease Detection with Clinical Construct Validity
von: Kang, Jiawen, et al.
Veröffentlicht: (2026)

Agent4POI: Agentic Context-Conditioned Affordance Reasoning for Multimodal Point-of-Interest Recommendation
von: Wang, Jinze, et al.
Veröffentlicht: (2026)

Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodes
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)