{"total":16,"rows":[{"id":"2402.11260","title":"MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning","created":"2024-02-17","cited_by_count":63,"area":"moe"},{"id":"2210.16433","title":"Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models","created":"2022-10-28","cited_by_count":24,"area":"moe"},{"id":"2105.06597","title":"RetGen: A Joint framework for Retrieval and Grounded Text Generation Modeling","created":"2021-05-14","cited_by_count":22,"area":"moe"},{"id":"2411.02433","title":"SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models","created":"2024-11-01","cited_by_count":16,"area":"moe"},{"id":"2508.12461","title":"Is GPT-OSS Good? A Comprehensive Evaluation of OpenAI's Latest Open Source Models","created":"2025-08-17","cited_by_count":11,"area":"moe"},{"id":"2505.14136","title":"Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging","created":"2025-05-20","cited_by_count":9,"area":"moe"},{"id":"2605.20948","title":"Memory Grafting: Scaling Language Model Pre-training via Offline Conditional Memory","created":"2026-05-20","cited_by_count":5,"area":"moe"},{"id":"2606.04300","title":"Argus-Retriever: Vision-LLM Late-Interaction Retrieval with Region-Aware Query-Conditioned MoE for Visual Document Retrieval","created":"2026-06-03","cited_by_count":3,"area":"moe"},{"id":"2603.03967","title":"UniRain: Unified Image Deraining with RAG-based Dataset Distillation and Multi-objective Reweighted Optimization","created":"2026-03-04","cited_by_count":2,"area":"moe"},{"id":"2605.28577","title":"Continual Model Routing in Evolving Model Hubs","created":"2026-05-27","cited_by_count":1,"area":"moe"},{"id":"2601.02144","title":"Routing by Analogy: kNN-Augmented Expert Assignment for Mixture-of-Experts","created":"2026-01-05","cited_by_count":0,"area":"moe"},{"id":"2604.14246","title":"Awakening Dormant Experts:Counterfactual Routing to Mitigate MoE Hallucinations","created":"2026-04-15","cited_by_count":0,"area":"moe"},{"id":"2606.14243","title":"Decoupled Mixture-of-Experts for Parametric Knowledge Injection","created":"2026-06-12","cited_by_count":0,"area":"moe"},{"id":"2607.09763","title":"Knowledge-Constrained Shape Optimization with a Mixture-of-Experts Neural Operator for High-Confidence Design","created":"2026-07-07","cited_by_count":0,"area":"moe"},{"id":"2609.13486","title":"Mixture-of-Experts Language Models Can Be Strong and Efficient Retrievers","created":"2026-09-11","cited_by_count":0,"area":"moe"},{"id":"2609.18842","title":"Infinite-Parameter LLMs: Generating and Adapting Weights from Live Data","created":"2026-09-16","cited_by_count":0,"area":"moe"}],"next_cursor":null}