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…
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.
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.
CHATLAW: OPEN-SOURCE LEGAL LARGE LANGUAGE MODEL WITH INTEGRATED EXTERNAL KNOWLEDGE BASES
FURTHERMORE, WE PROPOSE A SELF-ATTENTION METHOD TO ENHANCE THE ABILITY OF LARGE MODELS TO OVERCOME ERRORS PRESENT IN REFERENCE DATA, FURTHER OPTIMIZING THE ISSUE OF MODEL HALLUCINATIONS AT THE MODEL LEVEL AND IMPROVING THE PROBLEM-SOLVING CAPABILITIES OF LARGE MODELS.
BAA-NGP: BUNDLE-ADJUSTING ACCELERATED NEURAL GRAPHICS PRIMITIVES
IMPLICIT NEURAL REPRESENTATION HAS EMERGED AS A POWERFUL METHOD FOR RECONSTRUCTING 3D SCENES FROM 2D IMAGES.
GENTOPIA: A COLLABORATIVE PLATFORM FOR TOOL-AUGMENTED LLMS
WE PRESENT GENTOPIA, AN ALM FRAMEWORK ENABLING FLEXIBLE CUSTOMIZATION OF AGENTS THROUGH SIMPLE CONFIGURATIONS, SEAMLESSLY INTEGRATING VARIOUS LANGUAGE MODELS, TASK FORMATS, PROMPTING MODULES, AND PLUGINS INTO A UNIFIED PARADIGM.