Summary of Identifying Cyberbullying Roles in Social Media, by Manuel Sandoval et al.
Identifying Cyberbullying Roles in Social Mediaby Manuel Sandoval, Mohammed Abuhamad, Patrick Furman, Mujtaba Nazari, Deborah…
Summary of Technical Report: Small Language Model For Japanese Clinical and Medicine, by Shogo Watanabe
Technical Report: Small Language Model for Japanese Clinical and Medicineby Shogo WatanabeFirst submitted to arxiv…
Summary of Towards Graph Foundation Models: Learning Generalities Across Graphs Via Task-trees, by Zehong Wang et al.
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Treesby Zehong Wang, Zheyuan Zhang, Tianyi…
Summary of Graphlora: Empowering Llms Fine-tuning Via Graph Collaboration Of Moe, by Ting Bai et al.
GraphLoRA: Empowering LLMs Fine-Tuning via Graph Collaboration of MoEby Ting Bai, Yue Yu, Le Huang,…
Summary of Function Space Diversity For Uncertainty Prediction Via Repulsive Last-layer Ensembles, by Sophie Steger et al.
Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensemblesby Sophie Steger, Christian Knoll, Bernhard…
Summary of Efficient Fine-tuning and Concept Suppression For Pruned Diffusion Models, by Reza Shirkavand et al.
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Modelsby Reza Shirkavand, Peiran Yu, Shangqian Gao,…
Summary of Openemma: Open-source Multimodal Model For End-to-end Autonomous Driving, by Shuo Xing et al.
OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Drivingby Shuo Xing, Chengyuan Qian, Yuping Wang, Hongyuan…
Summary of Baichuan4-finance Technical Report, by Hanyu Zhang et al.
Baichuan4-Finance Technical Reportby Hanyu Zhang, Boyu Qiu, Yuhao Feng, Shuqi Li, Qian Ma, Xiyuan Zhang,…
Summary of Inference-aware Fine-tuning For Best-of-n Sampling in Large Language Models, by Yinlam Chow et al.
Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Modelsby Yinlam Chow, Guy Tennenholtz, Izzeddin Gur,…
Summary of Acemath: Advancing Frontier Math Reasoning with Post-training and Reward Modeling, by Zihan Liu et al.
AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modelingby Zihan Liu, Yang Chen, Mohammad…