Cover Image

Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kong, Zhenglun, Zhan, Zheng, Hou, Shiyue, Gong, Yifan, Meng, Xin, Sui, Pengwei, Dong, Peiyan, Shen, Xuan, Wang, Zifeng, Zhao, Pu, Tang, Hao, Ioannidis, Stratis, Wang, Yanzhi
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exploring Token Pruning in Vision State Space Models
by: Zhan, Zheng, et al.
Published: (2024)

Rethinking Token Reduction for State Space Models
by: Zhan, Zheng, et al.
Published: (2024)

Search for Efficient Large Language Models
by: Shen, Xuan, et al.
Published: (2024)

Fast and Memory-Efficient Video Diffusion Using Streamlined Inference
by: Zhan, Zheng, et al.
Published: (2024)

Squat: Quant Small Language Models on the Edge
by: Shen, Xuan, et al.
Published: (2024)

Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
by: Shen, Xuan, et al.
Published: (2023)

Pruning Foundation Models for High Accuracy without Retraining
by: Zhao, Pu, et al.
Published: (2024)

RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation
by: Liu, Jun, et al.
Published: (2025)

OmniMem: Scalable and Adaptive Memory Retrieval for Long Video Generation
by: Zhao, Lin, et al.
Published: (2026)

Spectral Survival Analysis
by: Shi, Chengzhi, et al.
Published: (2025)

Submodular Maximization via Taylor Series Approximation
by: Özcan, Gözde, et al.
Published: (2021)

Learning Set Functions with Implicit Differentiation
by: Özcan, Gözde, et al.
Published: (2024)

RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory
by: Liu, Jun, et al.
Published: (2025)

Structured Agent Distillation for Large Language Model
by: Liu, Jun, et al.
Published: (2025)

When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making
by: Liu, Jun, et al.
Published: (2026)

Online Two-Stage Submodular Maximization
by: Nikolaou, Iasonas, et al.
Published: (2025)

BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs
by: Wang, Zifeng, et al.
Published: (2023)

Lotus: learning-based online thermal and latency variation management for two-stage detectors on edge devices
by: Gong, Yifan, et al.
Published: (2024)

TSLA: A Task-Specific Learning Adaptation for Semantic Segmentation on Autonomous Vehicles Platform
by: Liu, Jun, et al.
Published: (2025)

Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment
by: Liu, Jun, et al.
Published: (2024)

ACE: Exploring Activation Cosine Similarity and Variance for Accurate and Calibration-Efficient LLM Pruning
by: Mi, Zhendong, et al.
Published: (2025)

Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers
by: Li, Zhengang, et al.
Published: (2024)

DiffClass: Diffusion-Based Class Incremental Learning
by: Meng, Zichong, et al.
Published: (2024)

Dependency-aware Maximum Likelihood Estimation for Active Learning
by: Kalkanli, Beyza, et al.
Published: (2025)

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance
by: Shen, Xuan, et al.
Published: (2025)

Federated Aggregation of Demand Flexibility
by: Dong, Yifan, et al.
Published: (2025)

Distributed Experimental Design Networks
by: Li, Yuanyuan, et al.
Published: (2024)

Empowering Federated Learning with Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics
by: Xiang, Ming, et al.
Published: (2024)

Online Submodular Maximization via Online Convex Optimization
by: Salem, Tareq Si, et al.
Published: (2023)

Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability
by: Xiang, Ming, et al.
Published: (2024)

Pediatric Diffuse Low-Grade Glioma with Oligodendrocyte-Like Features: A Challenging Diagnostic Case Report
by: Hou, Pengwei
Published: (2025)

DeepEvidence: Empowering Biomedical Discovery with Deep Knowledge Graph Research
by: Wang, Zifeng, et al.
Published: (2025)

Democratizing AI scientists using ToolUniverse
by: Gao, Shanghua, et al.
Published: (2025)

Distributionally Robust Chance-Constrained Flexibility Planning for Integrated Energy System
by: Zhan, Sen, et al.
Published: (2021)

7B Fully Open Source Moxin-LLM/VLM -- From Pretraining to GRPO-based Reinforcement Learning Enhancement
by: Zhao, Pu, et al.
Published: (2024)

Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering
by: Sui, Yuan, et al.
Published: (2024)

SSplain: Sparse and Smooth Explainer for Retinopathy of Prematurity Classification
by: Sunger, Elifnur, et al.
Published: (2025)

Scalable and Efficient Aggregation of Energy-Constrained Flexible Loads
by: Rousseau, Julie, et al.
Published: (2025)

Multi-Source Unsupervised Domain Adaptation with Prototype Aggregation
by: Huang, Min, et al.
Published: (2024)

Token Transforming: A Unified and Training-Free Token Compression Framework for Vision Transformer Acceleration
by: Zeng, Fanhu, et al.
Published: (2025)