conftrace_

mixture of expert

640 papers

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Also known as

MOE

Co-occurring keywords

large language model (13587) model compression (3302) multi-task learning (2575) multimodal learning (4645) neural network (6616) knowledge distillation (3725) low-rank adaptation (560) parameter efficiency (417) transfer learning (5449) expert routing (44)

Papers

Mixture-of-Attack-Experts with Class Regularization for Unified Physical-Digital Face Attack Detection AAAI 2025
Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis CVPR 2025
Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts ACL 2025
Automated Fine-Grained Mixture-of-Experts Quantization ACL 2025
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation AAAI 2025
Bi-Tuning with Collaborative Information for Controllable LLM-based Sequential Recommendation ACL 2025
From Knowledge to Noise: CTIM-Rover and the Pitfalls of Episodic Memory in Software Engineering Agents ACL 2025
Scaling Laws for Native Multimodal Models ICCV 2025
Sparsifying Mamba EMNLP 2025
GENTEEL-NEGOTIATOR: LLM-Enhanced Mixture-of-Expert-Based Reinforcement Learning Approach for Polite Negotiation Dialogue AAAI 2025
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting ICCV 2025
SLIM: Let LLM Learn More and Forget Less with Soft LoRA and Identity Mixture NAACL 2025
SAME: Learning Generic Language-Guided Visual Navigation with State-Adaptive Mixture of Experts ICCV 2025
BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference AAAI 2025
Progressive LoRA for Multimodal Continual Instruction Tuning ACL 2025
Cross-MoE: An Efficient Temporal Prediction Framework Integrating Textual Modality EMNLP 2025
MoSEs: Uncertainty-Aware AI-Generated Text Detection via Mixture of Stylistics Experts with Conditional Thresholds EMNLP 2025
Mixture of Multimodal Adapters for Sentiment Analysis NAACL 2025
Lifelong Knowledge Editing for Vision Language Models with Low-Rank Mixture-of-Experts CVPR 2025
MoEP: Modular Expert Paths for Sample-Efficient Language Modeling EMNLP 2025
Dual-Granularity Semantic Guided Sparse Routing Diffusion Model for General Pansharpening CVPR 2025
Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training CVPR 2025
FedVLA: Federated Vision-Language-Action Learning with Dual Gating Mixture-of-Experts for Robotic Manipulation ICCV 2025
Mixture of Experts Guided by Gaussian Splatters Matters: A new Approach to Weakly-Supervised Video Anomaly Detection ICCV 2025
XTrack: Multimodal Training Boosts RGB-X Video Object Trackers ICCV 2025