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#artificial intelligence Preprint Oct 2026

Correct Choices, Failed Sequences: Choice2Seq Benchmarks Correctness Retention Across Output Interfaces

A model may select the correct answer yet fail to construct it through a sequence of local decisions. We introduce Choice2Seq, a diagnostic benchmark that measures correctness retention across complete-answer selection and sequential construction in independent runs on the same problems and candidate sets. Sequence Com...

Tian-You Lai, Wen-Tao Yue, Zhi-Ying Deng et al. · 0 citations
Preprint Oct 2026

After Cooperation Is Learned: Gradient Routing and Optimizer-Dependent Maintenance in Multi-Agent Reinforcement Learning

Cooperative MARL is commonly evaluated through cooperation discovery from random initialization, leaving open whether continued optimization can destabilize learned cooperation. Actor-critic comparisons can also conflate critic presence with value gradients entering shared actor representations. We study cooperation ma...

Chao-Yuan Hao, Wen-Tao Yue, Tian-You Lai et al. · 0 citations
Preprint Oct 2026

Beyond Domain-Level Adaptation: Margin-Oriented Semantic-Appearance Interaction Correction for Personalized Federated Vision-Language Models

Federated parameter-efficient fine-tuning enables distributed clients to adapt pretrained vision-language models without sharing raw data or updating the full backbone. Its effectiveness, however, is limited by domain heterogeneity across clients. Existing personalized methods separate globally shared knowledge from cl...

Wen-Tao Yue, Qing-Yu Mao, Tian-You Lai et al. · 0 citations
#machine learning Preprint Oct 2026

FedSAP: Federated Learning with Structured Adaptive Partitioning for Multi-Domain Heterogeneous Edge Devices

Federated learning (FL) on heterogeneous edge devices must jointly accommodate unequal resource budgets and domain-shifted local data. Existing resource-adaptive methods decide how much of a model each client trains but not where retained capacity should reside or how it should be shared, whereas federated domain-gener...

Wen-Tao Yue, Tian-You Lai, Hong-Jiao Li et al. · 0 citations
#computer vision Preprint Aug 2026

TRACE: Training-time Report-guided and Clinically Ordered Concept Editing

A training-time report-guided framework that leverages structured radiology reports as privileged concept supervision while enabling image-only diagnosis at test time, and refines image-derived concepts through a teacher-guided editing mechanism within a malignancy-aware ordered concept space.

Wen-Tao Yue, Tian-You Lai, Jia-Yu Luo et al. · 0 citations

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