Cover Image

MergeNet: Knowledge Migration across Heterogeneous Models, Tasks, and Modalities

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Kunxi, Zhan, Tianyu, Fu, Kairui, Zhang, Shengyu, Kuang, Kun, Li, Jiwei, Zhao, Zhou, Wu, Fan, Wu, Fei
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Forward Once for All: Structural Parameterized Adaptation for Efficient Cloud-coordinated On-device Recommendation
by: Fu, Kairui, et al.
Published: (2025)

MergeNet: Explicit Mesh Reconstruction from Sparse Point Clouds via Edge Prediction
by: Wang, Weimin, et al.
Published: (2024)

Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation
by: Lv, Zheqi, et al.
Published: (2025)

RASTP: Representation-Aware Semantic Token Pruning for Generative Recommendation with Semantic Identifiers
by: Zhan, Tianyu, et al.
Published: (2025)

FlowMM: Cross-Modal Information Flow Guided KV Cache Merging for Efficient Multimodal Context Inference
by: Li, Kunxi, et al.
Published: (2025)

Device-Cloud Collaborative Correction for On-Device Recommendation
by: Zhan, Tianyu, et al.
Published: (2025)

MadaKV: Adaptive Modality-Perception KV Cache Eviction for Efficient Multimodal Long-Context Inference
by: Li, Kunxi, et al.
Published: (2025)

DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation
by: Fu, Kairui, et al.
Published: (2024)

Semantic Trimming and Auxiliary Multi-step Prediction for Generative Recommendation
by: Zhan, Tianyu, et al.
Published: (2026)

Preliminary Evaluation of the Test-Time Training Layers in Recommendation System (Student Abstract)
by: Zhan, Tianyu, et al.
Published: (2024)

FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning
by: Jiang, Zhonghua, et al.
Published: (2024)

CHORD: Customizing Hybrid-precision On-device Model for Sequential Recommendation with Device-cloud Collaboration
by: Liu, Tianqi, et al.
Published: (2025)

Tackling Device Data Distribution Real-time Shift via Prototype-based Parameter Editing
by: Lv, Zheqi, et al.
Published: (2025)

ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation
by: Tang, Zihao, et al.
Published: (2024)

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds
by: Wu, Wei, et al.
Published: (2025)

AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation
by: Tang, Zihao, et al.
Published: (2024)

Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems
by: Zhang, Shengyu, et al.
Published: (2024)

Model Merging for Knowledge Editing
by: Fu, Zichuan, et al.
Published: (2025)

EC-Diff: Fast and High-Quality Edge-Cloud Collaborative Inference for Diffusion Models
by: Xie, Jiajian, et al.
Published: (2025)

Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging
by: Yang, Jinluan, et al.
Published: (2025)

MergePipe: A Budget-Aware Parameter Management System for Scalable LLM Merging
by: Wang, Yuanyi, et al.
Published: (2026)

Learning Individual Treatment Effects under Heterogeneous Interference in Networks
by: Zhao, Ziyu, et al.
Published: (2022)

Semantic Codebook Learning for Dynamic Recommendation Models
by: Lv, Zheqi, et al.
Published: (2024)

MALLOC: Benchmarking the Memory-aware Long Sequence Compression for Large Sequential Recommendation
by: Yu, Qihang, et al.
Published: (2026)

Enhancing Court View Generation with Knowledge Injection and Guidance
by: Li, Ang, et al.
Published: (2024)

PureKV: Plug-and-Play KV Cache Optimization with Spatial-Temporal Sparse Attention for Vision-Language Large Models
by: Jiang, Zhonghua, et al.
Published: (2025)

From Graph to Word Bag: Introducing Domain Knowledge to Confusing Charge Prediction
by: Li, Ang, et al.
Published: (2024)

Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution Populations
by: Zhang, Yuling, et al.
Published: (2024)

Adaptive Prototype Knowledge Transfer for Federated Learning with Mixed Modalities and Heterogeneous Tasks
by: Gai, Keke, et al.
Published: (2025)

Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering
by: Zhao, Ziyu, et al.
Published: (2024)

Unconstrained Model Merging for Enhanced LLM Reasoning
by: Zhang, Yiming, et al.
Published: (2024)

Superpose Task-specific Features for Model Merging
by: Qiu, Haiquan, et al.
Published: (2025)

Petri Net Modeling and Deadlock-Free Scheduling of Attachable Heterogeneous AGV Systems
by: Li, Boyu, et al.
Published: (2025)

Evolving Knowledge Distillation with Large Language Models and Active Learning
by: Liu, Chengyuan, et al.
Published: (2024)

Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace
by: Yang, Jinluan, et al.
Published: (2024)

Hypergraph Multi-modal Large Language Model: Exploiting EEG and Eye-tracking Modalities to Evaluate Heterogeneous Responses for Video Understanding
by: Wu, Minghui, et al.
Published: (2024)

LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild
by: Zhao, Ziyu, et al.
Published: (2024)

ThinkRec: Thinking-based recommendation via LLM
by: Yu, Qihang, et al.
Published: (2025)

MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation
by: Zhang, Min, et al.
Published: (2024)

WisdomInterrogatory (LuWen): An Open-Source Legal Large Language Model Technical Report
by: Wu, Yiquan, et al.
Published: (2026)