Summary of Evidence From Fmri Supports a Two-phase Abstraction Process in Language Models, by Emily Cheng and Richard J. Antonello
Evidence from fMRI Supports a Two-Phase Abstraction Process in Language Modelsby Emily Cheng, Richard J.…
Evidence from fMRI Supports a Two-Phase Abstraction Process in Language Modelsby Emily Cheng, Richard J.…
ReL-SAR: Representation Learning for Skeleton Action Recognition with Convolutional Transformers and BYOLby Safwen Naimi, Wassim…
Promptable Closed-loop Traffic Simulationby Shuhan Tan, Boris Ivanovic, Yuxiao Chen, Boyi Li, Xinshuo Weng, Yulong…
MoistNet: Machine Vision-based Deep Learning Models for Wood Chip Moisture Content Measurementby Abdur Rahman, Jason…
DDNet: Deformable Convolution and Dense FPN for Surface Defect Detection in Recycled Booksby Jun Yu,…
Dynamic Demand Management for Parcel Lockersby Daniela Sailer, Robert Klein, Claudius SteinhardtFirst submitted to arxiv…
PIP: Detecting Adversarial Examples in Large Vision-Language Models via Attention Patterns of Irrelevant Probe Questionsby…
Evaluation of Google Translate for Mandarin Chinese translation using sentiment and semantic analysisby Xuechun Wang,…
EdaCSC: Two Easy Data Augmentation Methods for Chinese Spelling Correctionby Lei Sheng, Shuai-Shuai XuFirst submitted…
Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers?by Neeladri Bhuiya, Viktor…