Buchumschlag

Identifying Key Features for Establishing Sustainable Agro-Tourism Centre: A Data Driven Approach

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Gadakh, Alka, Kumbhar, Vidya, Khosla, Sonal, Karunendra, Kumar
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Machine Learning Computation and Language
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Information availability in different languages and various technological constraints related to multilinguism on the Internet
von: Khosla, Sonal, et al.
Veröffentlicht: (2025)

Advanced Crash Causation Analysis for Freeway Safety: A Large Language Model Approach to Identifying Key Contributing Factors
von: Abdelrahman, Ahmed S., et al.
Veröffentlicht: (2025)

GUT-IS: A Data-Driven Approach to Integrating Constructs and Their Relations in Information Systems
von: Reinhardt, Maximilian, et al.
Veröffentlicht: (2026)

Narrative Feature or Structured Feature? A Study of Large Language Models to Identify Cancer Patients at Risk of Heart Failure
von: Chen, Ziyi, et al.
Veröffentlicht: (2024)

Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models
von: Lee, Joseph, et al.
Veröffentlicht: (2024)

Feature Rivalry in Sparse Autoencoder Representations: A Mechanistic Study of Uncertainty-Driven Feature Competition in LLMs
von: Harshavardhan
Veröffentlicht: (2026)

The LLM Language Network: A Neuroscientific Approach for Identifying Causally Task-Relevant Units
von: AlKhamissi, Badr, et al.
Veröffentlicht: (2024)

FITS: Towards an AI-Driven Fashion Information Tool for Sustainability
von: Theodorakopoulos, Daphne, et al.
Veröffentlicht: (2025)

Identifying Intervenable and Interpretable Features via Orthogonality Regularization
von: Miller, Moritz, et al.
Veröffentlicht: (2026)

Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA
von: Agarwal, Dhruv, et al.
Veröffentlicht: (2023)

Beyond Outliers: A Data-Free Layer-wise Mixed-Precision Quantization Approach Driven by Numerical and Structural Dual-Sensitivity
von: Zhang, Hengyuan, et al.
Veröffentlicht: (2026)

Detecting Token-Level Hallucinations Using Variance Signals: A Reference-Free Approach
von: Kumar, Keshav
Veröffentlicht: (2025)

Modeling the language cortex with form-independent and enriched representations of sentence meaning reveals remarkable semantic abstractness
von: Saha, Shreya, et al.
Veröffentlicht: (2025)

Analysis of Voluntarily Reported Data Post Mesh Implantation for Detecting Public Emotion and Identifying Concern Reports
von: Bala, Indu, et al.
Veröffentlicht: (2025)

DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI
von: Liang, Hao, et al.
Veröffentlicht: (2025)

Counterfactual Generation with Identifiability Guarantees
von: Yan, Hanqi, et al.
Veröffentlicht: (2024)

Curiosity-Driven LLM-as-a-judge for Personalized Creative Judgment
von: Kumar, Vanya Bannihatti, et al.
Veröffentlicht: (2025)

Causal Attention with Lookahead Keys
von: Song, Zhuoqing, et al.
Veröffentlicht: (2025)

Language Model-Driven Data Pruning Enables Efficient Active Learning
von: Azeemi, Abdul Hameed, et al.
Veröffentlicht: (2024)

AgroLLM: Connecting Farmers and Agricultural Practices through Large Language Models for Enhanced Knowledge Transfer and Practical Application
von: Samuel, Dinesh Jackson, et al.
Veröffentlicht: (2025)

BhashaSetu: A Data-Centric Approach to Low-Resource Machine Translation
von: Thakkar, Param, et al.
Veröffentlicht: (2026)

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

Coupled Query-Key Dynamics for Attention
von: Gahtan, Barak, et al.
Veröffentlicht: (2026)

A Context-Aware Approach for Enhancing Data Imputation with Pre-trained Language Models
von: Hayat, Ahatsham, et al.
Veröffentlicht: (2024)

AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists
von: Li, Yifei, et al.
Veröffentlicht: (2025)

DRTriton: Large-Scale Synthetic Data Driven Reinforcement Learning for Triton Kernel Generation
von: Guo, Siqi, et al.
Veröffentlicht: (2026)

Identifying the Source of Generation for Large Language Models
von: Park, Bumjin, et al.
Veröffentlicht: (2024)

A Social Data-Driven System for Identifying Estate-related Events and Topics
von: Mu, Wenchuan, et al.
Veröffentlicht: (2025)

Learning to Evict from Key-Value Cache
von: Moschella, Luca, et al.
Veröffentlicht: (2026)

Not All Features Deserve Attention: Graph-Guided Dependency Learning for Tabular Data Generation with Language Models
von: Zhang, Zheyu, et al.
Veröffentlicht: (2025)

Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach
von: Li, Dongyue, et al.
Veröffentlicht: (2024)

Harnessing Event Sensory Data for Error Pattern Prediction in Vehicles: A Language Model Approach
von: Math, Hugo, et al.
Veröffentlicht: (2024)

Data-Driven Variational Basis Learning Beyond Neural Networks: A Non-Neural Framework for Adaptive Basis Discovery
von: Kiruluta, Andrew
Veröffentlicht: (2026)

Identifying Features Associated with Bias Against 93 Stigmatized Groups in Language Models and Guardrail Model Safety Mitigation
von: Gueorguieva, Anna-Maria, et al.
Veröffentlicht: (2025)

Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models
von: Paech, Samuel, et al.
Veröffentlicht: (2025)

Identifying a Circuit for Verb Conjugation in GPT-2
von: Africa, David Demitri
Veröffentlicht: (2025)

Empirical Comparison of Encoder-Based Language Models and Feature-Based Supervised Machine Learning Approaches to Automated Scoring of Long Essays
von: Wang, Kuo, et al.
Veröffentlicht: (2026)

Human-LLM Collaborative Feature Engineering for Tabular Data
von: Li, Zhuoyan, et al.
Veröffentlicht: (2026)

Eliciting Medical Reasoning with Knowledge-enhanced Data Synthesis: A Semi-Supervised Reinforcement Learning Approach
von: Li, Haolin, et al.
Veröffentlicht: (2026)

A Natural Language Processing Approach to Support Biomedical Data Harmonization: Leveraging Large Language Models
von: Li, Zexu, et al.
Veröffentlicht: (2024)