Summary of Scaling Up Masked Diffusion Models on Text, by Shen Nie et al.
Scaling up Masked Diffusion Models on Textby Shen Nie, Fengqi Zhu, Chao Du, Tianyu Pang,…
Summary of Knowledge Distillation Using Frontier Open-source Llms: Generalizability and the Role Of Synthetic Data, by Anup Shirgaonkar et al.
Knowledge Distillation Using Frontier Open-source LLMs: Generalizability and the Role of Synthetic Databy Anup Shirgaonkar,…
Summary of Beyond Autoregression: Discrete Diffusion For Complex Reasoning and Planning, by Jiacheng Ye et al.
Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planningby Jiacheng Ye, Jiahui Gao, Shansan Gong,…
Summary of H2ovl-mississippi Vision Language Models Technical Report, by Shaikat Galib et al.
H2OVL-Mississippi Vision Language Models Technical Reportby Shaikat Galib, Shanshan Wang, Guanshuo Xu, Pascal Pfeiffer, Ryan…
Summary of Enhancing Text Generation in Joint Nlg/nlu Learning Through Curriculum Learning, Semi-supervised Training, and Advanced Optimization Techniques, by Rahimanuddin Shaik et al.
Enhancing Text Generation in Joint NLG/NLU Learning Through Curriculum Learning, Semi-Supervised Training, and Advanced Optimization…
Summary of Textlap: Customizing Language Models For Text-to-layout Planning, by Jian Chen et al.
TextLap: Customizing Language Models for Text-to-Layout Planningby Jian Chen, Ruiyi Zhang, Yufan Zhou, Jennifer Healey,…
Summary of Tapweight: Reweighting Pretraining Objectives For Task-adaptive Pretraining, by Ruiyi Zhang et al.
TapWeight: Reweighting Pretraining Objectives for Task-Adaptive Pretrainingby Ruiyi Zhang, Sai Ashish Somayajula, Pengtao XieFirst submitted…
Summary of Mtl-lora: Low-rank Adaptation For Multi-task Learning, by Yaming Yang et al.
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learningby Yaming Yang, Dilxat Muhtar, Yelong Shen, Yuefeng Zhan, Jianfeng…
Summary of One Initialization to Rule Them All: Fine-tuning Via Explained Variance Adaptation, by Fabian Paischer et al.
One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptationby Fabian Paischer, Lukas Hauzenberger,…
Summary of Selective Aggregation For Low-rank Adaptation in Federated Learning, by Pengxin Guo et al.
Selective Aggregation for Low-Rank Adaptation in Federated Learningby Pengxin Guo, Shuang Zeng, Yanran Wang, Huijie…