Cover Image

Bi-directional Model Cascading with Proxy Confidence

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Warren, David, Dras, Mark
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cascading and Proxy Membership Inference Attacks
by: Du, Yuntao, et al.
Published: (2025)

Gatekeeper: Improving Model Cascades Through Confidence Tuning
by: Rabanser, Stephan, et al.
Published: (2025)

Empirical Calibration and Metric Differential Privacy in Language Models
by: Faustini, Pedro, et al.
Published: (2025)

When Does Confidence-Based Cascade Deferral Suffice?
by: Jitkrittum, Wittawat, et al.
Published: (2023)

Graded Suspiciousness of Adversarial Texts to Human
by: Tonni, Shakila Mahjabin, et al.
Published: (2024)

HybridServe: Efficient Serving of Large AI Models with Confidence-Based Cascade Routing
by: Xue, Leyang, et al.
Published: (2025)

VITAL: A New Dataset for Benchmarking Pluralistic Alignment in Healthcare
by: Shetty, Anudeex, et al.
Published: (2025)

Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients
by: Li, Weijun, et al.
Published: (2024)

BiJEPA: Bi-directional Joint Embedding Predictive Architecture for Symmetric Representation Learning
by: Huang, Yongchao
Published: (2026)

JanusDNA: A Powerful Bi-directional Hybrid DNA Foundation Model
by: Duan, Qihao, et al.
Published: (2025)

Proxy Compression for Language Modeling
by: Zheng, Lin, et al.
Published: (2026)

ProxyKV: Cross-Model Proxy Pruning for Efficient Long-Context LLM Inference
by: Li, Junjie, et al.
Published: (2026)

Proxy-RLHF: Decoupling Generation and Alignment in Large Language Model with Proxy
by: Zhu, Yu, et al.
Published: (2024)

IDT: Dual-Task Adversarial Attacks for Privacy Protection
by: Faustini, Pedro, et al.
Published: (2024)

Prior Distribution and Model Confidence
by: Kazanskii, Maksim, et al.
Published: (2025)

PAPM: A Physics-aware Proxy Model for Process Systems
by: Liu, Pengwei, et al.
Published: (2024)

Proxy-Guided Measurement Calibration
by: Vishnubhatla, Saketh, et al.
Published: (2026)

Proxy Methods for Domain Adaptation
by: Tsai, Katherine, et al.
Published: (2024)

Bi-directional Recurrence Improves Transformer in Partially Observable Markov Decision Processes
by: Arora, Ashok, et al.
Published: (2025)

TIMBA: Time series Imputation with Bi-directional Mamba Blocks and Diffusion models
by: Solís-García, Javier, et al.
Published: (2024)

Human-AI Collaborative Autonomous Experimentation With Proxy Modeling for Comparative Observation
by: Biswas, Arpan, et al.
Published: (2026)

Tighter Confidence Bounds for Sequential Kernel Regression
by: Flynn, Hamish, et al.
Published: (2024)

C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning
by: Valkanas, Antonios, et al.
Published: (2025)

Multiaccuracy and Multicalibration via Proxy Groups
by: Bharti, Beepul, et al.
Published: (2025)

Predicting LLM Reasoning Performance with Small Proxy Model
by: Koh, Woosung, et al.
Published: (2025)

Accelerated Preference Elicitation with LLM-Based Proxies
by: Huang, David, et al.
Published: (2025)

BBS: Bi-directional Bit-level Sparsity for Deep Learning Acceleration
by: Chen, Yuzong, et al.
Published: (2024)

Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization
by: Cao, Yuanpu, et al.
Published: (2024)

CATTO: Balancing Preferences and Confidence in Language Models
by: Parikh, Nisarg, et al.
Published: (2026)

Confidence-Aware Multi-Field Model Calibration
by: Zhao, Yuang, et al.
Published: (2024)

On the Runway Cascade of Transformers for Language Modeling
by: Lee, Hunjae, et al.
Published: (2026)

OptiProxy-NAS: Optimization Proxy based End-to-End Neural Architecture Search
by: Lyu, Bo, et al.
Published: (2025)

Kernel Single Proxy Control for Deterministic Confounding
by: Xu, Liyuan, et al.
Published: (2023)

Balanced Filtering via Disclosure-Controlled Proxies
by: Deng, Siqi, et al.
Published: (2023)

Uncertainty Distillation: Teaching Language Models to Express Semantic Confidence
by: Hager, Sophia, et al.
Published: (2025)

Speed is Confidence
by: Dillon, Joshua V.
Published: (2026)

Confidence Intervals and Simultaneous Confidence Bands Based on Deep Learning
by: Arie, Asaf Ben, et al.
Published: (2024)

FedVeca: Federated Vectorized Averaging on Non-IID Data with Adaptive Bi-directional Global Objective
by: Luo, Ping, et al.
Published: (2022)

FedPFT: Federated Proxy Fine-Tuning of Foundation Models
by: Peng, Zhaopeng, et al.
Published: (2024)

FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion
by: Fan, Tao, et al.
Published: (2026)