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…
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Treesby Zehong Wang, Zheyuan Zhang, Tianyi…
GraphLoRA: Empowering LLMs Fine-Tuning via Graph Collaboration of MoEby Ting Bai, Yue Yu, Le Huang,…
Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensemblesby Sophie Steger, Christian Knoll, Bernhard…
Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Modelsby Yinlam Chow, Guy Tennenholtz, Izzeddin Gur,…
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Modelsby Reza Shirkavand, Peiran Yu, Shangqian Gao,…
OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Drivingby Shuo Xing, Chengyuan Qian, Yuping Wang, Hongyuan…
Baichuan4-Finance Technical Reportby Hanyu Zhang, Boyu Qiu, Yuhao Feng, Shuqi Li, Qian Ma, Xiyuan Zhang,…
AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modelingby Zihan Liu, Yang Chen, Mohammad…
Adaptive Pruning for Large Language Models with Structural Importance Awarenessby Haotian Zheng, Jinke Ren, Yushan…
Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Modelsby Zijun…