Localized Lora-Moe

Momentum

6 papers in the last four weeks, up 20% on the four weeks before. 0.1% of all new papers.

Jul 6Week of Sep 21

Latest papers 62

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  1. SpikeMoE: Brain-Inspired Competitive Routing for Flexible Spiking Mixture-of-Experts

    Oct 1, 2026Xiaoli Liu, Yujie Liang, Jialin Li +1Spiking Neural NetworksMixture-Of-Experts Architectures

  2. ITC-MoE: Importance-guided Token-aware Compression for MoE Diffusion Language Models

    Oct 1, 2026Lianjun Liu, Shipeng Li, You Huang +5Token CompressionLocalized Lora-Moe

  3. Redundancy Meets Synergy: Dependency-aware Expert Selection for MoE via Submodular Optimization

    Sep 30, 2026Zheng Lin, Shaoke Fang, Yuxin Zhang +6Mixture-Of-ExpertsLocalized Lora-Moe

  4. UniAE-MoE: A Unified Audio Encoder via Mixture of Experts

    Sep 30, 2026Shengbo Cai, Zhisheng Zhang, Zichao Nie +3Large Audio Language ModelsOpencode

  5. Breaking the Uniformity Trap: Scaling Video Diffusion Model via SplitMoE

    Sep 29, 2026Yu Xu, Yuxin Zhang, Xiao Yang +7Video Diffusion ModelsLocalized Lora-Moe

  6. OLED-MoE: Accelerating MoE-Based dLLM Inference via Inter-Iteration Locality-Aware Expert Offloading

    Sep 27, 2026Jingyuan Xiao, Jiayue Wang, Yitao Hu +7Mixture-Of-Expert InferenceOffloading

  7. Calibration Is Not Verification: Falsifiability-Aware Conformal Routing for Mixture-of-Agents

    Sep 22, 2026Nada Rahali, Zijia Wang, Zhisong LiuMixture-Of-AgentsFacts

  8. All-in-One Multilingual Scene Text Recognition with Script-aware Mixture-of-Experts

    Sep 21, 2026Xingsong Ye, Yongkun Du, Jiaxin Zhang +6Scene Text RecognitionLingdt-Vl-Ocr

  9. STHMoE: Hypergraph-Enhanced Heterogeneous Dependency Coordination for LLM-Based Urban Traffic Data Forecasting

    Sep 14, 2026Jiawen Chen, Qi Shao, Yongjian Chang +3Accurate Traffic ForecastingLocalized Lora-Moe

  10. Instella-MoE Technical Report

    Sep 1, 2026Jiang Liu, Sudhanshu Ranjan, Prakamya Mishra +10Localized Lora-MoeMixture-Of-Experts

  11. HybridSB-MoE: Dual-Domain Schrödinger Bridges with Scene-Adaptive Expert Routing for Speech Enhancement

    Aug 13, 2026Zhengyi Lu, Aswini Sivakumar, Jie Hu +1Speech EnhancementSchrödinger Bridges

  12. DistMoE: Private-data Rehearsal-free Routing in Mixture-of-Experts for Distributed Instruction Tuning

    Aug 10, 2026Mainak Singha, Niccolò Biondi, Elisa Ricci +1Multimodal Continual Instruction TuningMixture-Of-Experts

  13. ReMiX-MAE: Learning Missing-Channel Cross-Modal Representations from RGB-Only Clinical Facial Videos for Sympathetic-Mediated Pain Assessment

    Aug 3, 2026Nan Bi, Taoyue Wang, Lijun Yin +13D Masked AutoencodersFacial Expression Recognition

  14. TIER-MoE: Trust-Informed Expert Routing via Conditional Modality Risk for Multimodal Fusion in Biomedical Classification

    Jul 29, 2026Yu Chang, Anzhe Cheng, Chenwei Wu +7Multimodal FusionUnimodal Metrics

  15. Sensor-Placement-Agnostic Sonomyography: Toward Continuous High-Dimensional Control by Users with Tetraplegia

    Jul 29, 2026Gavin Sueltz, Vikram Athithan, Emma Ferran +3Robust ControlLocalized Lora-Moe

  16. MMOE: Modernizing Diffusion Transformers with Efficient Expert Design

    Jul 27, 2026Yanhao Jia, Jiepeng Wang, Haibin Huang +3Localized Lora-MoeDiffusion Transformers

  17. SpaR3D-MoE: Adaptive 3D Spatial Reasoning from Sparse Views Meets Geometry-Inductive Mixture-of-Experts

    Jul 7, 2026Haida Feng, Hao Wei, Haolin Wang +33D Spatial ReasoningSpatial Reasoning

  18. Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing

    Jul 6, 2026Babak Barazandeh, Subhabrata Majumdar, Vinay Prithyani +1Layer-WiseLocalized Lora-Moe

  19. WPG-MoE: Weak-Prior-Guided Dense Mixture-of-Experts for User-Level Social Media Depression Detection

    Jul 5, 2026Xian Li, Yuanhe Tian, Yang Yang +2DepressionScreening

  20. Focusing on What Matters: Saliency-Harnessing Accurate Routing for Diffusion MoE

    Jun 25, 2026Haoyou Deng, Keyu Yan, Chaojie Mao +4Localized Lora-MoeMixture-Of-Experts

  21. ReM-MoA: Reasoning Memory Sustains Mixture-of-Agents Scaling

    Jun 23, 2026Heng Ping, Arijit Bhattacharjee, Peiyu Zhang +5Mixture-Of-AgentsLocalized Lora-Moe

  22. Systematic Exploration of 4-Expert Heterogeneous Mixture-of-Experts via Automated Pipeline Search

    Jun 21, 2026Yashkumar R Lukhi, Harsh Rameshbhai Moradiya, Radu Timofte +1Mixture-Of-ExpertsNeural Architecture Search

  23. Does Mixture-of-Experts Actually Help Inference on Consumer and Edge Hardware? An Empirical Study

    Jun 19, 2026Alfarizy Alfarizy, Hung Truong Thanh Nguyen, René Richard +2Mixture-Of-Expert InferenceMixture-Of-Experts

  24. CTS-MoE: Implicit Terrain Adaptation via Mixture-of-Experts for Perceptive Locomotion

    Jun 17, 2026Francisco Affonso, Matheus P. Angarola, Ana Luiza Mineiro +3Agile LocomotionTerrain

  25. DynFS-MoE: Dynamic Functional-Structural Mixture-of-Experts for Post-Traumatic Epilepsy Diagnosis

    Jun 15, 2026Jun-En Ding, Spencer Chen, Henry Noren +6Seizure DetectionHuman Brain Networks

  26. Safe Reinforcement Learning of Autonomous Highway Driving: A Unified Framework for Safety and Efficiency

    Jun 12, 2026Chufei Yan, Zhihao Cui, Yiyan Lv +3Automated VehiclesOffline Reinforcement Learning

  27. CoRe-MoE: Contrastive Reweighted Mixture of Experts for Multi-Terrain Humanoid Locomotion with Gait Adaptation

    Jun 3, 2026Kailun Huang, Zikang Xie, Yanzhe Xie +8Agile LocomotionGait Dynamics

  28. LoopMoE: Unifying Iterative Computation with Mixture-of-Experts for Language Modeling

    Jun 3, 2026Wenkai Chen, Tianshu Li, Wenyong Huang +3Mixture-Of-Experts Large Language ModelsMixture-Of-Experts

  29. DOT-MoE: Differentiable Optimal Transport for MoEfication

    Jun 1, 2026Udbhav Bamba, Arnav Chavan, Aryamaan Thakur +2Localized Lora-MoeInference Cost

  30. DAG-MoE: From Simple Mixture to Structural Aggregation in Mixture-of-Experts

    May 31, 2026Jiarui Feng, Hanqing Zeng, Karish Grover +11Mixture-Of-Experts ArchitecturesMixture-Of-Experts

  31. MoEIoU: Rethinking Bounding-Box Regression as a Mixture of Experts

    May 30, 2026Vinay Edula, Priyanka BagadeBounding BoxObject Detection

  32. MoE-dqINR: A Unified Mixture-of-Experts Implicit Neural Representation Framework for Scan-Specific Dynamic and Quantitative MRI Reconstruction

    May 29, 2026Yinzhe Wu, Fanwen Wang, Zhenxuan Zhang +3Magnetic Resonance Imaging ReconstructionMagnetic Resonance Imaging

  33. dMoE: dLLMs with Learnable Block Experts

    May 29, 2026Sicheng Feng, Zigeng Chen, Gongfan Fang +2Mixture-Of-ExpertsLocalized Lora-Moe

  34. Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting

    May 28, 2026Amirhossein Ghaffari, Saeid Sheikhi, Ekaterina GilmanAccurate Traffic ForecastingTemporal Graph Neural Networks

  35. MōLe-Λ: Learning the Coupled-Cluster Response State for Energies, Gradients, and Properties

    May 28, 2026Andreas Burger, Luca Thiede, Abdulrahman Aldossary +4Quantum ChemistryDensity Functional Theory

  36. BioFact-MoE: Biologically Factorized Mixture of Experts for Vision-Language Prognostic Modeling in Hepatocellular Carcinoma

    May 25, 2026Junlin Yang, Tian Yu, Nicha C. Dvornek +6CholangiocarcinomaExperts

  37. Mix-MoE: Improving Multilingual Machine Translation of Large Language Models through Mixed MoEs

    May 23, 2026Bo Li, Tianyu Dong, Shaolin Zhu +1Multilingual Language ModelsMixture-Of-Experts Large Language Models

  38. BitsMoE: Cost-Aware Bit Allocation in Spectral Space for MoE LLM Quantization

    May 22, 2026Jiayu Zhao, Zihan Teng, Minhao Fan +4Large Language Model QuantizationLocalized Lora-Moe

  39. SpikingMoE: SDPrompt-Guided Dynamic Expert Fusion in Spiking Neural Networks

    May 22, 2026Yukai Yang, Chenxi Qin, Jungang Li +3Spiking Neural NetworksNeuromorphic Computing

  40. CP-MoE: Consistency-Preserving Mixture-of-Experts for Continual Learning

    May 18, 2026Yang Liu, Toan Nguyen, Flora D. SalimReplay-Based Continual LearningMixture-Of-Experts Large Language Models

  41. Patch-MoE Mamba: A Patch-Ordered Mixture-of-Experts State Space Architecture for Medical Image Segmentation

    May 18, 2026Diego Adame, Fabian Vazquez, Jose A. Nunez +7Semi-Supervised Medical Image SegmentationCnn-Transformer Tradeoff

  42. Sparse Layers are Critical to Scaling Looped Language Models

    May 9, 2026Ryan Lee, Jacob Biloki, Edward J. Hu +1Transformer ArchitecturesLayer-Wise

  43. Mamoda2.5: Enhancing Unified Multimodal Model with DiT-MoE

    May 4, 2026Yangming Shi, Shixiang Zhu, Tao Shen +14Diffusion ModelsMultimodal Understanding

  44. MoE-Prefill: Zero Redundancy Overheads in MoE Prefill Serving

    May 3, 2026Zhaoyuan Su, Olatunji Ruwase, Karthik Ganesan +5Mixture-Of-Expert InferencePrefill

  45. Adaptive and Fine-grained Module-wise Expert Pruning for Efficient LoRA-MoE Fine-Tuning

    Apr 29, 2026Weihang Li, Jianchun Liu, Hongli XuParameter-Efficient Fine-Tuning MethodsMixture-Of-Experts

  46. MoE-nD: Per-Layer Mixture-of-Experts Routing for Multi-Axis KV Cache Compression

    Apr 20, 2026Libo Sun, Peixiong He, Po-Wei Harn +1Key-Value Cache CompressionEviction

  47. StanceMoE: Mixture-of-Experts Architecture for Stance Detection

    Apr 1, 2026Abdullah Al Shafi, Md. Milon Islam, Sk. Imran Hossain +1Cross-Topic Arabic Stance DetectionBert-Based Models

  48. MOOZY: A Patient-First Foundation Model for Computational Pathology

    Mar 27, 2026Yousef Kotp, Vincent Quoc-Huy Trinh, Christopher Pal +1Pathology Foundation ModelsComputational Pathology