Summary of Executing Arithmetic: Fine-tuning Large Language Models As Turing Machines, by Junyu Lai et al.
Executing Arithmetic: Fine-Tuning Large Language Models as Turing Machinesby Junyu Lai, Jiahe Xu, Yao Yang,…
Executing Arithmetic: Fine-Tuning Large Language Models as Turing Machinesby Junyu Lai, Jiahe Xu, Yao Yang,…
The Function-Representation Model of Computationby Alfredo Ibias, Hector Antona, Guillem Ramirez-Miranda, Enric Guinovart, Eduard AlarconFirst…
Towards Assurance of LLM Adversarial Robustness using Ontology-Driven Argumentationby Tomas Bueno Momcilovic, Beat Buesser, Giulio…
Cross-Task Pretraining for Cross-Organ Cross-Scanner Adenocarcinoma Segmentationby Adrian GaldranFirst submitted to arxiv on: 20 Sep…
Mental Disorders Detection in the Era of Large Language Modelsby Gleb Kuzmin, Petr Strepetov, Maksim…
Better Language Models Exhibit Higher Visual Alignmentby Jona Ruthardt, Gertjan J. Burghouts, Serge Belongie, Yuki…
Taking a turn for the better: Conversation redirection throughout the course of mental-health therapyby Vivian…
AAAI Workshop on AI Planning for Cyber-Physical Systems – CAIPI24by Oliver Niggemann, Gautam Biswas, Alexander…
Technical Report: Competition Solution For Modelscope-Soraby Shengfu Chen, Hailong Liu, Wenzhao WeiFirst submitted to arxiv…
Learning Content-Aware Multi-Modal Joint Input Pruning via Bird’s-Eye-View Representationby Yuxin Li, Yiheng Li, Xulei Yang,…