Showing 1–19 of 19 results
/ Date/ Name
Aug 20, 2025DeepTelecom: A Digital-Twin Deep Learning Dataset for Channel and MIMO ApplicationsSep 4, 2024Multi-Sources Fusion Learning for Multi-Points NLOS Localization in OFDM SystemApr 5, 2025MSL: Not All Tokens Are What You Need for Tuning LLM as a RecommenderJan 23, 2024Multi-Sources Information Fusion Learning for Multi-Points NLOS LocalizationFeb 20, 2024Distributionally Robust Graph-based Recommendation SystemAug 15, 2024LLM4DSR: Leveraging Large Language Model for Denoising Sequential RecommendationOct 13, 2025Does LLM Focus on the Right Words? Mitigating Context Bias in LLM-based RecommendersJul 2, 2025Dynamical Multimodal Fusion with Mixture-of-Experts for LocalizationsMay 1, 2024Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language ModelMar 6, 2025Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital ExperiencesJan 19, 2026Seeing Radio: From Zero RF Priors to Explainable Modulation Recognition with Vision Language ModelsOct 12, 2023Effective potential engineering by emergent anisotropy in a tunable open-access microcavityMar 9, 2023Robust Millimeter Beamforming via Self-Supervised Hybrid Deep LearningJan 30, 2026BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language ModelsApr 8, 2026Telecom World Models: Unifying Digital Twins, Foundation Models, and Predictive Planning for 6GOct 14, 2025SeqBench: Benchmarking Sequential Narrative Generation in Text-to-Video ModelsApr 18, 2024SIGformer: Sign-aware Graph Transformer for RecommendationMay 27, 2025Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender SystemsFeb 16, 2026RF-GPT: Teaching AI to See the Wireless World