Advanced IoT Solutions for Urban Planning
#Project Title: Advanced IoT Solutions for Urban Planning ##Project Overview: The "Advanced IoT Solutions for Urban Planning" project aims to harness the power of Internet of Things (IoT) technology to…
Advanced IoT Solutions for Urban Planning
Project Description: Advanced IoT Solutions for Urban Planning #Introduction As urban areas continue to grow at an unprecedented rate, cities face an array of challenges such as traffic congestion, pollution,…
ACHIEVING SECURE, UNIVERSAL, AND FINE-GRAINED QUERY RESULTS VERIFICATION FOR SECURE SEARCH SCHEME OVER ENCRYPTED CLOUD DATA
Project Title: Achieving Secure, Universal, and Fine-Grained Query Results Verification for Secure Search Scheme Over Encrypted Cloud Data Project Overview: In the era of cloud computing, the protection of sensitive…
ACCOUNTABLE PROXY RE-ENCRYPTION FOR SECURE DATA SHARING
Project Title: Accountable Proxy Re-Encryption for Secure Data Sharing Project Overview: In an era where data breaches and privacy concerns are increasingly prominent, secure data sharing is vital for organizations…
A VERIFIABLE SEMANTIC SEARCHING SCHEME BY OPTIMAL MATCHING OVER ENCRYPTED DATA IN PUBLIC CLOUD
# Project Description: A Verifiable Semantic Searching Scheme by Optimal Matching Over Encrypted Data in Public Cloud Abstract With the proliferation of cloud computing, the demand for secure and efficient…
A PREDICTIVE DATA FEATURE EXPLORATION-BASED AIR QUALITY PREDICTION APPROACH
#Project Description: Predictive Data Feature Exploration-Based Air Quality Prediction Approach ##Introduction Air quality has a profound impact on public health, environmental sustainability, and overall quality of life. Understanding and predicting…
A FRAMEWORK FOR ANALYSIS OF ROAD ACCIDENTS
#Project Title: A Framework for Analysis of Road Accidents ##Project Description: Overview: The "Framework for Analysis of Road Accidents" project aims to develop a comprehensive and systematic approach to assess,…
ANIMATEDIFF: ANIMATE YOUR PERSONALIZED TEXT-TO-IMAGE DIFFUSION MODELS WITHOUT SPECIFIC TUNING
# Project Description for ANIMATEDIFF: Animate Your Personalized Text-to-Image Diffusion Models Without Specific Tuning #Project Overview ANIMATEDIFF is a cutting-edge project aimed at transforming the landscape of text-to-image generation through…
ALTCLIP: ALTERING THE LANGUAGE ENR IN CLIP FOR EXTENDED LANGUAGE CAPABILITIES
#Project Description: ALTCLIP - Altering the Language ENR in CLIP for Extended Language Capabilities ##Overview ALTCLIP is an innovative research initiative aimed at enhancing the language processing capabilities of CLIP…
Smart Traffic Light Control System
Project Title: Smart Traffic Light Control System Project Description: The Smart Traffic Light Control System is an innovative approach aimed at enhancing urban traffic management through the integration of advanced…
WEATHER PREDICTION USING FIREFLY AND DRNN
Abstract: The project aims to enhance weather prediction accuracy by leveraging the synergies between Firefly Optimization and Deep Recurrent Neural Network (DRNN). Harnessing the optimization capabilities of Firefly and the…
PLANKASSEMBLY: ROBUST 3D RECONSTRUCTION FROM THREE ORTHOGRAPHIC VIEWS WITH LEARNT SHAPE PROGRAMS
IN THIS , WE DEVELOP A NEW METHOD TO AUTOMATICALLY CONVERT 2D LINE DRAWINGS FROM THREE ORTHOGRAPHIC VIEWS INTO 3D CAD MODELS.
A SURVEY ON EVALUATION OF LARGE LANGUAGE MODELS
LARGE LANGUAGE MODELS (LLMS) ARE GAINING INCREASING POPULARITY IN BOTH ACADEMIA AND INDUSTRY, OWING TO THEIR UNPRECEDENTED PERFORMANCE IN VARIOUS APPLICATIONS.
JUDGING LLM-AS-A-JUDGE WITH MT-BENCH AND CHATBOT ARENA
EVALUATING LARGE LANGUAGE MODEL (LLM) BASED CHAT ASSISTANTS IS CHALLENGING DUE TO THEIR BROAD CAPABILITIES AND THE INADEQUACY OF EXISTING BENCHMARKS IN MEASURING HUMAN PREFERENCES.
MULTI-SCALE MULTI-BAND DENSENETS FOR AUDIO SOURCE SEPARATION
THIS DEALS WITH THE PROBLEM OF AUDIO SOURCE SEPARATION.
RETENTIVE NETWORK: A SUCCESSOR TO TRANSFORMER FOR LARGE LANGUAGE MODELS
IN THIS WORK, WE PROPOSE RETENTIVE NETWORK (RETNET) AS A FOUNDATION ARCHITECTURE FOR LARGE LANGUAGE MODELS, SIMULTANEOUSLY ACHIEVING TRAINING PARALLELISM, LOW-COST INFERENCE, AND GOOD PERFORMANCE.
AGENTBENCH: EVALUATING LLMS AS AGENTS
LARGE LANGUAGE MODELS (LLMS) ARE BECOMING INCREASINGLY SMART AND AUTONOMOUS, TARGETING REAL-WORLD PRAGMATIC MISSIONS BEYOND TRADITIONAL NLP TASKS.
ONE EMBEDDER, ANY TASK: INSTRUCTION-FINETUNED TEXT EMBEDDINGS
OUR ANALYSIS SUGGESTS THAT INSTRUCTOR IS ROBUST TO CHANGES IN INSTRUCTIONS, AND THAT INSTRUCTION FINETUNING MITIGATES THE CHALLENGE OF TRAINING A SINGLE MODEL ON DIVERSE DATASETS.
ALTCLIP: ALTERING THE LANGUAGE ENR IN CLIP FOR EXTENDED LANGUAGE CAPABILITIES
IN THIS WORK, WE PRESENT A CONCEPTUALLY SIMPLE AND EFFECTIVE METHOD TO TRAIN A STRONG BILINGUAL/MULTILINGUAL MULTIMODAL REPRESENTATION MODEL.
FACTUALITY ENHANCED LANGUAGE MODELS FOR OPEN-ENDED TEXT GENERATION
IN THIS WORK, WE MEASURE AND IMPROVE THE FACTUAL ACCURACY OF LARGE-SCALE LMS FOR OPEN-ENDED TEXT GENERATION.