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Applications

3,265 papers (28 classified directly here)

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Papers (including subtopics)

Aaron at SemEval-2026 Task 9: Multilingual Polarization Detection using Transformer-Based Models with Class Weighting and Threshold Tuning SemEval 2026 AdaptJobRec: Enhancing Conversational Career Recommendation Through an LLM-Powered Agentic System AAAI 2026 AlignUSER: Human-Aligned LLM Agents via World Models for Recommender System Evaluation ACL 2026 Among Us: Language of Conspiracy Theorists on Mainstream Reddit ACL 2026 Analyzing Hate Speech Amplification on Fringe Platforms ACL 2026 A System for Dynamically Tracking Content Moderation on Reddit ACL 2026 A Theoretically Grounded Approach to Summarizing Conversation Dynamics for Forecasting the Derailment of Online Conversations ACL 2026 AuditAgent: LLM Agent for Risks Auditing in Recommender Systems AAAI 2026 A Unified Framework for Modeling Heterogeneous Financial Data via Dual-Granularity Prompting ACL 2026 Beetrap-MC: A Minecraft-Based AI Literacy Tool for Teaching Filter Bubbles to Middle School Students AAAI 2026 Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders ACL 2026 Causal Influences over Social Learning Networks JMLR 2026 ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation ACL 2026 CompRestacking: Capturing Channel Dependency in Highly Correlated Multivariate Time Series Data (Student Abstract) AAAI 2026 CSECU-DSG at SemEval-2026 Task 10: Fine-Tuning DeBERTa Transformer Model for Conspiracy Detection SemEval 2026 Disentangling Graph Dependencies for Efficient Billion-Scale GPU Vector Search OSDI 2026 Driving Engagement in Daily Fantasy Sports with a Scalable and Urgency-Aware Ranking Engine AAAI 2026 Drs.NAS: Ultra-Efficient Neural Architecture Search for Recommendation Systems OSDI 2026 Dynamics of Learning under User Choice: Overspecialization and Peer-Model Probing UAI 2026 EdGCL: Disentangling Social and Cognitive Homophily in Graph-Based Educational Recommender Systems AAAI 2026 Enjoying Non-linearity in Multinomial Logistic Bandits: A Minimax-Optimal Algorithm ALT 2026 From ID to LLM: Rethinking Representation Learning for Recommendation ACL 2026 From Moves to Paths: A Hierarchical Framework for Trajectory Representation Learning UAI 2026 From Past To Path: Masked History Learning for Next-Item Prediction in Generative Recommendation ACL 2026 Generalization Bounds for Semi-supervised Matrix Completion with Distributional Side Information AAAI 2026