AdaFuse: Adaptive Ensemble Decoding with Test-Time Scaling for LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Cui, Chengming, Wei, Tianxin, Chen, Ziyi, Qiu, Ruizhong, Zeng, Zhichen, Liu, Zhining, Ning, Xuying, Zhou, Duo, He, Jingrui |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Harnessing Consistency for Robust Test-Time LLM Ensemble
by: Zeng, Zhichen, et al.
Published: (2025)
by: Zeng, Zhichen, et al.
Published: (2025)
Subspace Alignment for Vision-Language Model Test-time Adaptation
by: Zeng, Zhichen, et al.
Published: (2026)
by: Zeng, Zhichen, et al.
Published: (2026)
Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation
by: Bao, Wenxuan, et al.
Published: (2024)
by: Bao, Wenxuan, et al.
Published: (2024)
Saffron-1: Safety Inference Scaling
by: Qiu, Ruizhong, et al.
Published: (2025)
by: Qiu, Ruizhong, et al.
Published: (2025)
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
by: Liu, Zhining, et al.
Published: (2025)
by: Liu, Zhining, et al.
Published: (2025)
Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning
by: Bao, Wenxuan, et al.
Published: (2025)
by: Bao, Wenxuan, et al.
Published: (2025)
WAPITI: A Watermark for Finetuned Open-Source LLMs
by: Chen, Lingjie, et al.
Published: (2024)
by: Chen, Lingjie, et al.
Published: (2024)
AdaFuse: Adaptive Multimodal Fusion for Lung Cancer Risk Prediction via Reinforcement Learning
by: Qu, Chongyu, et al.
Published: (2026)
by: Qu, Chongyu, et al.
Published: (2026)
CoFiRec: Coarse-to-Fine Tokenization for Generative Recommendation
by: Wei, Tianxin, et al.
Published: (2025)
by: Wei, Tianxin, et al.
Published: (2025)
AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization
by: Li, Qiyang, et al.
Published: (2026)
by: Li, Qiyang, et al.
Published: (2026)
Graph4MM: Weaving Multimodal Learning with Structural Information
by: Ning, Xuying, et al.
Published: (2025)
by: Ning, Xuying, et al.
Published: (2025)
AIM: Attributing, Interpreting, Mitigating Data Unfairness
by: Liu, Zhining, et al.
Published: (2024)
by: Liu, Zhining, et al.
Published: (2024)
Class-Imbalanced Graph Learning without Class Rebalancing
by: Liu, Zhining, et al.
Published: (2023)
by: Liu, Zhining, et al.
Published: (2023)
Flow Matching Meets Biology and Life Science: A Survey
by: Li, Zihao, et al.
Published: (2025)
by: Li, Zihao, et al.
Published: (2025)
AdaFuse-Det: Adaptive Cross-Modal Fusion of Event Cameras for Robust Object Detection in Low-Light RGB Imagery
by: Imandi, Raju, et al.
Published: (2026)
by: Imandi, Raju, et al.
Published: (2026)
AdaFusion: Prompt-Guided Inference with Adaptive Fusion of Pathology Foundation Models
by: Xiao, Yuxiang, et al.
Published: (2025)
by: Xiao, Yuxiang, et al.
Published: (2025)
Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics
by: Zeng, Zhichen, et al.
Published: (2025)
by: Zeng, Zhichen, et al.
Published: (2025)
CATS: Mitigating Correlation Shift for Multivariate Time Series Classification
by: Lin, Xiao, et al.
Published: (2025)
by: Lin, Xiao, et al.
Published: (2025)
TSAQA: Time Series Analysis Question And Answering Benchmark
by: Jing, Baoyu, et al.
Published: (2026)
by: Jing, Baoyu, et al.
Published: (2026)
Panda: Test-Time Adaptation with Negative Data Augmentation
by: Deng, Ruxi, et al.
Published: (2025)
by: Deng, Ruxi, et al.
Published: (2025)
Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents
by: Bei, Yuanchen, et al.
Published: (2026)
by: Bei, Yuanchen, et al.
Published: (2026)
LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation
by: He, Xinrui, et al.
Published: (2024)
by: He, Xinrui, et al.
Published: (2024)
PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment
by: Yu, Qi, et al.
Published: (2025)
by: Yu, Qi, et al.
Published: (2025)
Hierarchical LoRA MoE for Efficient CTR Model Scaling
by: Zeng, Zhichen, et al.
Published: (2025)
by: Zeng, Zhichen, et al.
Published: (2025)
BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting
by: Lin, Xiao, et al.
Published: (2024)
by: Lin, Xiao, et al.
Published: (2024)
FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation
by: He, Xinrui, et al.
Published: (2026)
by: He, Xinrui, et al.
Published: (2026)
Geometric-disentangelment Unlearning
by: Zhou, Duo, et al.
Published: (2025)
by: Zhou, Duo, et al.
Published: (2025)
PaperMind: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs
by: Zhao, Yanjun, et al.
Published: (2026)
by: Zhao, Yanjun, et al.
Published: (2026)
Ensuring User-side Fairness in Dynamic Recommender Systems
by: Yoo, Hyunsik, et al.
Published: (2023)
by: Yoo, Hyunsik, et al.
Published: (2023)
i$^2$VAE: Interest Information Augmentation with Variational Regularizers for Cross-Domain Sequential Recommendation
by: Ning, Xuying, et al.
Published: (2024)
by: Ning, Xuying, et al.
Published: (2024)
ALERT: Zero-shot LLM Jailbreak Detection via Internal Discrepancy Amplification
by: Lin, Xiao, et al.
Published: (2026)
by: Lin, Xiao, et al.
Published: (2026)
ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration
by: Ai, Mengting, et al.
Published: (2025)
by: Ai, Mengting, et al.
Published: (2025)
Agentic Reasoning for Large Language Models
by: Wei, Tianxin, et al.
Published: (2026)
by: Wei, Tianxin, et al.
Published: (2026)
Heterogeneous Scientific Foundation Model Collaboration
by: Li, Zihao, et al.
Published: (2026)
by: Li, Zihao, et al.
Published: (2026)
AvAtar: Learning to Align via Active Optimal Transport
by: Yu, Qi, et al.
Published: (2026)
by: Yu, Qi, et al.
Published: (2026)
Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting
by: Shang, Zongjiang, et al.
Published: (2024)
by: Shang, Zongjiang, et al.
Published: (2024)
Fair Anomaly Detection For Imbalanced Groups
by: Wu, Ziwei, et al.
Published: (2024)
by: Wu, Ziwei, et al.
Published: (2024)
TABED: Test-Time Adaptive Ensemble Drafting for Robust Speculative Decoding in LVLMs
by: Lee, Minjae, et al.
Published: (2026)
by: Lee, Minjae, et al.
Published: (2026)
NIRVANA: Structured pruning reimagined for large language models compression
by: Ai, Mengting, et al.
Published: (2025)
by: Ai, Mengting, et al.
Published: (2025)
AdaDecode: Accelerating LLM Decoding with Adaptive Layer Parallelism
by: Wei, Zhepei, et al.
Published: (2025)
by: Wei, Zhepei, et al.
Published: (2025)
Similar Items
-
Harnessing Consistency for Robust Test-Time LLM Ensemble
by: Zeng, Zhichen, et al.
Published: (2025) -
Subspace Alignment for Vision-Language Model Test-time Adaptation
by: Zeng, Zhichen, et al.
Published: (2026) -
Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation
by: Bao, Wenxuan, et al.
Published: (2024) -
Saffron-1: Safety Inference Scaling
by: Qiu, Ruizhong, et al.
Published: (2025) -
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
by: Liu, Zhining, et al.
Published: (2025)