Summary of Target-aware Language Modeling Via Granular Data Sampling, by Ernie Chang et al.
Target-Aware Language Modeling via Granular Data Samplingby Ernie Chang, Pin-Jie Lin, Yang Li, Changsheng Zhao,…
Target-Aware Language Modeling via Granular Data Samplingby Ernie Chang, Pin-Jie Lin, Yang Li, Changsheng Zhao,…
Column Vocabulary Association (CVA): semantic interpretation of dataless tablesby Margherita Martorana, Xueli Pan, Benno Kruit,…
DAP-LED: Learning Degradation-Aware Priors with CLIP for Joint Low-light Enhancement and Deblurringby Ling Wang, Chen…
EyeCLIP: A visual-language foundation model for multi-modal ophthalmic image analysisby Danli Shi, Weiyi Zhang, Jiancheng…
Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Reviewby Neha Prakriya, Jui-Nan…
Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and…
The MERIT Dataset: Modelling and Efficiently Rendering Interpretable Transcriptsby I. de Rodrigo, A. Sanchez-Cuadrado, J.…
BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large…
Probing the Robustness of Vision-Language Pretrained Models: A Multimodal Adversarial Attack Approachby Jiwei Guan, Tianyu…
S-EPOA: Overcoming the Indistinguishability of Segments with Skill-Driven Preference-Based Reinforcement Learningby Ni Mu, Yao Luan,…