{"total":22,"rows":[{"id":"2508.15281","title":"MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation","created":"2025-08-21","cited_by_count":10,"area":null},{"id":"2509.25522","title":"Understanding Generative Recommendation with Semantic IDs from a Model-scaling View","created":"2025-09-29","cited_by_count":6,"area":null},{"id":"2511.18793","title":"NEZHA: A Zero-sacrifice and Hyperspeed Decoding Architecture for Generative Recommendations","created":"2025-11-24","cited_by_count":6,"area":null},{"id":"2508.11977","title":"TBGRecall: A Generative Retrieval Model for E-commerce Recommendation Scenarios","created":"2025-08-16","cited_by_count":5,"area":null},{"id":"2508.14646","title":"OneLoc: Geo-Aware Generative Recommender Systems for Local Life Service","created":"2025-08-20","cited_by_count":5,"area":null},{"id":"2604.14878","title":"GenRec: A Preference-Oriented Generative Framework for Large-Scale Recommendation","created":"2026-04-16","cited_by_count":5,"area":null},{"id":"2601.14697","title":"When Text-as-Vision Meets Semantic IDs in Generative Recommendation: An Empirical Study","created":"2026-01-21","cited_by_count":3,"area":null},{"id":"2602.02338","title":"Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs","created":"2026-02-02","cited_by_count":2,"area":null},{"id":"2602.10699","title":"Spend Search Where It Pays: Value-Guided Structured Sampling and Optimization for Generative Recommendation","created":"2026-02-11","cited_by_count":2,"area":null},{"id":"2603.22779","title":"KARMA: Knowledge-Action Regularized Multimodal Alignment for Personalized Search at Taobao","created":"2026-03-24","cited_by_count":2,"area":null},{"id":"2510.11100","title":"HoMer: Addressing Heterogeneities by Modeling Sequential and Set-wise Contexts for CTR Prediction","created":"2025-10-13","cited_by_count":1,"area":null},{"id":"2601.15930","title":"MMGRid: Navigating Temporal-aware and Cross-domain Generative Recommendation via Model Merging","created":"2026-01-22","cited_by_count":1,"area":null},{"id":"2605.17779","title":"Learning Variable-Length Tokenization for Generative Recommendation","created":"2026-05-18","cited_by_count":1,"area":null},{"id":"2606.25147","title":"TokenMinds: Pretrained User Tokens and Embeddings for User Understanding in Large Recommender Systems","created":"2026-06-23","cited_by_count":1,"area":null},{"id":"2601.16556","title":"PRISM: Purified Representation and Integrated Semantic Modeling for Generative Sequential Recommendation","created":"2026-01-23","cited_by_count":0,"area":null},{"id":"2602.21677","title":"Trie-Aware Transformers for Generative Recommendation","created":"2026-02-25","cited_by_count":0,"area":null},{"id":"2605.11447","title":"Conditional Memory Enhanced Item Representation for Generative Recommendation","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2605.23440","title":"SSDAU: Structured Semantic Data Augmentation for Joint Entity and Relation Extraction","created":"2026-05-22","cited_by_count":0,"area":null},{"id":"2607.27944","title":"Interpretable Representation via LLM-Driven Generative Disentanglement for Local-Life Service Recommendation","created":"2026-07-30","cited_by_count":0,"area":null},{"id":"2608.18779","title":"SIDScope: A Diagnostic Resource for Semantic-ID Interfaces in Generative Recommendation","created":"2026-08-19","cited_by_count":0,"area":null},{"id":"2608.21012","title":"From a Static Multi-Level Small Semantic Codebook to a Dynamic Single-Level Large Semantic Codebook for Generative Recommendation","created":"2026-08-21","cited_by_count":0,"area":null},{"id":"2609.03554","title":"WIDE: Wildcard Inference with Dynamic Expansion for Cross-Modal Generative Retrieval","created":"2026-09-03","cited_by_count":0,"area":null}],"next_cursor":null}