Retrieval-Augmented Instruction Tuning for Automated Process Engineering Calculations : A Tool-Chaining Problem-Solving Framework with Attributable Reflection
Fuente:
arXiv
Saved in:
| Main Authors: | Sakhinana, Sagar Srinivas, Sannidhi, Geethan, Runkana, Venkataramana |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Retrieval-Augmented Generation Meets Data-Driven Tabula Rasa Approach for Temporal Knowledge Graph Forecasting
by: Sannidhi, Geethan, et al.
Published: (2024)
by: Sannidhi, Geethan, et al.
Published: (2024)
Towards Human-Level Understanding of Complex Process Engineering Schematics: A Pedagogical, Introspective Multi-Agent Framework for Open-Domain Question Answering
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Foundational Model for Electron Micrograph Analysis: Instruction-Tuning Small-Scale Language-and-Vision Assistant for Enterprise Adoption
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (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
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
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
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Knowledge Graph Modeling-Driven Large Language Model Operating System (LLM OS) for Task Automation in Process Engineering Problem-Solving
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Sparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysis
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Preliminary Investigations of a Multi-Faceted Robust and Synergistic Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision Transformers with Large Language and Multimodal Models
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Crossing New Frontiers: Knowledge-Augmented Large Language Model Prompting for Zero-Shot Text-Based De Novo Molecule Design
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Agentic Retrieval-Augmented Generation for Time Series Analysis
by: Ravuru, Chidaksh, et al.
Published: (2024)
by: Ravuru, Chidaksh, et al.
Published: (2024)
Accelerating Manufacturing Scale-Up from Material Discovery Using Agentic Web Navigation and Retrieval-Augmented AI for Process Engineering Schematics Design
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up
by: Srinivas, Sakhinana Sagar, et al.
Published: (2025)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2025)
Towards Automated Patent Workflows: AI-Orchestrated Multi-Agent Framework for Intellectual Property Management and Analysis
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding
by: Srinivas, Sakhinana Sagar, et al.
Published: (2025)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2025)
Cross-Modal Learning for Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Battery GraphNets : Relational Learning for Lithium-ion Batteries(LiBs) Life Estimation
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Agentic Multimodal AI for Hyperpersonalized B2B and B2C Advertising in Competitive Markets: An AI-Driven Competitive Advertising Framework
by: Srinivas, Sakhinana Sagar, et al.
Published: (2025)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2025)
Joint Hypergraph Rewiring and Memory-Augmented Forecasting Techniques in Digital Twin Technology
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series Representation Learning
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodes
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Leveraging Creativity as a Problem Solving Tool in Software Engineering
by: Groeneveld, Wouter
Published: (2025)
by: Groeneveld, Wouter
Published: (2025)
Document Retrieval Augmented Fine-Tuning (DRAFT) for safety-critical software assessments
by: Bolton, Regan, et al.
Published: (2025)
by: Bolton, Regan, et al.
Published: (2025)
JTPRO: A Joint Tool-Prompt Reflective Optimization Framework for Language Agents
by: Ghoshal, Sandip, et al.
Published: (2026)
by: Ghoshal, Sandip, et al.
Published: (2026)
Multi-Knowledge Fusion Network for Time Series Representation Learning
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
Seven Failure Points When Engineering a Retrieval Augmented Generation System
by: Barnett, Scott, et al.
Published: (2024)
by: Barnett, Scott, et al.
Published: (2024)
RAG-MCP: Mitigating Prompt Bloat in LLM Tool Selection via Retrieval-Augmented Generation
by: Gan, Tiantian, et al.
Published: (2025)
by: Gan, Tiantian, et al.
Published: (2025)
Automated Creation and Enrichment Framework for Improved Invocation of Enterprise APIs as Tools
by: Agarwal, Prerna, et al.
Published: (2025)
by: Agarwal, Prerna, et al.
Published: (2025)
ToolFuzz -- Automated Agent Tool Testing
by: Milev, Ivan, et al.
Published: (2025)
by: Milev, Ivan, et al.
Published: (2025)
Terminal Agents Suffice for Enterprise Automation
by: Bechard, Patrice, et al.
Published: (2026)
by: Bechard, Patrice, et al.
Published: (2026)
RTLRepoCoder: Repository-Level RTL Code Completion through the Combination of Fine-Tuning and Retrieval Augmentation
by: Wu, Peiyang, et al.
Published: (2025)
by: Wu, Peiyang, et al.
Published: (2025)
Investigating Tool-Memory Conflicts in Tool-Augmented LLMs
by: Cheng, Jiali, et al.
Published: (2026)
by: Cheng, Jiali, et al.
Published: (2026)
EMCNet : Graph-Nets for Electron Micrographs Classification
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Z-Space: A Multi-Agent Tool Orchestration Framework for Enterprise-Grade LLM Automation
by: He, Qingsong, et al.
Published: (2025)
by: He, Qingsong, et al.
Published: (2025)
Designing and Implementing Robust Test Automation Frameworks using Cucumber BDD and Java
by: Srinivas, Srikanth, et al.
Published: (2025)
by: Srinivas, Srikanth, et al.
Published: (2025)
Assessing Large Language Models for Automated Feedback Generation in Learning Programming Problem Solving
by: Silva, Priscylla, et al.
Published: (2025)
by: Silva, Priscylla, et al.
Published: (2025)
ASMA-Tune: Unlocking LLMs' Assembly Code Comprehension via Structural-Semantic Instruction Tuning
by: Wang, Xinyi, et al.
Published: (2025)
by: Wang, Xinyi, et al.
Published: (2025)
Similar Items
-
Retrieval-Augmented Generation Meets Data-Driven Tabula Rasa Approach for Temporal Knowledge Graph Forecasting
by: Sannidhi, Geethan, et al.
Published: (2024) -
Towards Human-Level Understanding of Complex Process Engineering Schematics: A Pedagogical, Introspective Multi-Agent Framework for Open-Domain Question Answering
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024) -
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024) -
Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024) -
Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)