Towards Human-centered Proactive Conversational Agents - Conversational IR and Recommendation
Explore human-centered proactive conversational agents in IR and recommendation systems, focusing on advancements and challenges in creating more intuitive AI interactions.
Search Engine for Machines: Unified Ranking for Multi-Retrieval-Augmented LLMs - Lecture 1
Explore unified ranking for multi-retrieval-augmented LLMs, advancing search engines for machines and enhancing Retrieval Augmented Generation techniques.
LLM-Augmented Dialogue Construction for Personalized Multi-Session Conversational Search - Session M3.2
Explore LLM-augmented dialogue construction for personalized multi-session conversational search, enhancing IR and recommendation systems.
IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues
Explore multi-round retrieval-augmented generation through inner monologue learning, enhancing AI's ability to process and generate information iteratively.
Temporal Network Embedding Using Classical Multidimensional Scaling
Explore temporal network embedding techniques using classical multidimensional scaling for advanced data analysis and visualization.
Segregation in Urban Systems and Mobility
Explore urban segregation patterns and their impact on mobility systems, analyzing complex interactions between social dynamics and city structures.
Steering Large Language Models for Cross-lingual Information Retrieval - Multilingual Retrieval
Explore techniques for leveraging large language models in cross-lingual information retrieval, enhancing multilingual search capabilities and improving global information access.
Multilingual Meta-Distillation Alignment for Semantic Retrieval - Session M2.4
Explore advanced techniques in multilingual semantic retrieval, focusing on meta-distillation alignment for improved cross-language information access.
GraphGPT: Graph Instruction Tuning for Large Language Models - Session M2.2
Explore graph instruction tuning for large language models, enhancing their ability to understand and process graph-structured data effectively.
Generative Retrieval via Term Set Generation - The Future of Search with LLMs
Explore generative retrieval techniques using term set generation for advanced search capabilities with large language models.
The Power of Noise: Redefining Retrieval for RAG Systems - Session M3.1
Explore innovative approaches to Retrieval Augmented Generation, focusing on noise utilization to enhance RAG systems' performance and redefine retrieval methods.
IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation - M2.6
Explore efficient multimodal representation adaptation for sequential recommendations using decoupled PEFT in this innovative research presentation.
Broadening the View: Demonstration-augmented Prompt Learning for Conversational Recommendation - Session M3.2
Explore demonstration-augmented prompt learning for conversational recommendation, enhancing IR and recommendation systems through innovative techniques.
Top Business Secrets Revealed by Data Analytics Expert
Unlock data analytics' power for business success. Learn predictive analytics, sampling, forecasting, and cybersecurity considerations. Gain insights to drive growth and make data-driven decisions.
Burnout Recovery Index: Measuring and Managing Burnout with AI
Discover an AI-powered Burnout Recovery Index to objectively assess and quantify your burnout levels, aiding in recovery and self-awareness.
How to Build and Design Charts and Dashboards in Excel
Master Excel data cleaning, custom formatting, and chart creation to transform raw information into visually impactful dashboards and presentations.
Dr. AI Will See You Now - 9 October 2024
Explore the future of AI in healthcare with experts discussing its potential impact on medical practice and patient care.
Scaling Laws for Dense Retrieval
Explore scaling laws for dense retrieval, examining their impact on information retrieval systems and performance optimization strategies.
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation - Tutorial 2.5
Explore graph prompt tuning for streaming recommendations using GPT4Rec, enhancing real-time personalized content delivery in dynamic environments.
Large Language Models for Next Point-of-Interest Recommendation - Tutorial 2.4
Explore innovative applications of large language models in next point-of-interest recommendation systems for enhanced user experiences and improved location-based services.
Optimal Transport Enhanced Cross-City Site Recommendation - T2.4
Explore optimal transport techniques for cross-city site recommendations, enhancing POI suggestions through advanced computational methods.