Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmarkby Haining Yu,…
Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editingby Weichuan…
Distributionally Robust Clustered Federated Learning: A Case Study in Healthcareby Xenia Konti, Hans Riess, Manos…
Scaling Laws for Mixed quantization in Large Language Modelsby Zeyu Cao, Cheng Zhang, Pedro Gimenes,…
Evaluating the Impact of Point Cloud Colorization on Semantic Segmentation Accuracyby Qinfeng Zhu, Jiaze Cao,…
Gridded Transformer Neural Processes for Large Unstructured Spatio-Temporal Databy Matthew Ashman, Cristiana Diaconu, Eric Langezaal,…
CoBa: Convergence Balancer for Multitask Finetuning of Large Language Modelsby Zi Gong, Hang Yu, Cong…
Utilizing Transfer Learning and pre-trained Models for Effective Forest Fire Detection: A Case Study of…
Inference over Unseen Entities, Relations and Literals on Knowledge Graphsby Caglar Demir, N'Dah Jean Kouagou,…
Cluster-wise Graph Transformer with Dual-granularity Kernelized Attentionby Siyuan Huang, Yunchong Song, Jiayue Zhou, Zhouhan LinFirst…