· ai
[Paper] Distilling Feedback into Memory-as-a-Tool
We propose a framework that amortizes the cost of inference-time reasoning by converting transient critiques into retrievable guidelines, through a file-based m...
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- · ai
[Paper] On the Robustness of Age for Learning-Based Wireless Scheduling in Unknown Environments
The constrained combinatorial multi-armed bandit model has been widely employed to solve problems in wireless networking and related areas, including the proble...
- · devops
[Paper] Multi-Modal Style Transfer-based Prompt Tuning for Efficient Federated Domain Generalization
Federated Domain Generalization (FDG) aims to collaboratively train a global model across distributed clients that can generalize well on unseen domains. Howeve...
- · ai
[Paper] A Critical Examination of Active Learning Workflows in Materials Science
Active learning (AL) plays a critical role in materials science, enabling applications such as the construction of machine-learning interatomic potentials for a...
- · ai
[Paper] WaveRNet: Wavelet-Guided Frequency Learning for Multi-Source Domain-Generalized Retinal Vessel Segmentation
Domain-generalized retinal vessel segmentation is critical for automated ophthalmic diagnosis, yet faces significant challenges from domain shift induced by non...
- · ai
[Paper] Context-Aware Decoding for Faithful Vision-Language Generation
Hallucinations, generating responses inconsistent with the visual input, remain a critical limitation of large vision-language models (LVLMs), especially in ope...
- · ai
[Paper] Performance of a Deep Learning-Based Segmentation Model for Pancreatic Tumors on Public Endoscopic Ultrasound Datasets
Background: Pancreatic cancer is one of the most aggressive cancers, with poor survival rates. Endoscopic ultrasound (EUS) is a key diagnostic modality, but its...
- · ai
[Paper] Can We Predict Before Executing Machine Learning Agents?
Autonomous machine learning agents have revolutionized scientific discovery, yet they remain constrained by a Generate-Execute-Feedback paradigm. Previous appro...
- · ai
[Paper] Adapting Vision Transformers to Ultra-High Resolution Semantic Segmentation with Relay Tokens
Current approaches for segmenting ultra high resolution images either slide a window, thereby discarding global context, or downsample and lose fine detail. We ...
- · ai
[Paper] Cedalion Tutorial: A Python-based framework for comprehensive analysis of multimodal fNIRS & DOT from the lab to the everyday world
Functional near-infrared spectroscopy (fNIRS) and diffuse optical tomography (DOT) are rapidly evolving toward wearable, multimodal, and data-driven, AI-support...
- · ai
[Paper] Agentic LLMs as Powerful Deanonymizers: Re-identification of Participants in the Anthropic Interviewer Dataset
On December 4, 2025, Anthropic released Anthropic Interviewer, an AI tool for running qualitative interviews at scale, along with a public dataset of 1,250 inte...
- · ai
[Paper] Pantagruel: Unified Self-Supervised Encoders for French Text and Speech
We release Pantagruel models, a new family of self-supervised encoder models for French text and speech. Instead of predicting modality-tailored targets such as...