Summary of Streamlining Prediction in Bayesian Deep Learning, by Rui Li et al.
Streamlining Prediction in Bayesian Deep Learningby Rui Li, Marcus Klasson, Arno Solin, Martin TrappFirst submitted…
Summary of Aligning Knowledge Concepts to Whole Slide Images For Precise Histopathology Image Analysis, by Weiqin Zhao et al.
Aligning Knowledge Concepts to Whole Slide Images for Precise Histopathology Image Analysisby Weiqin Zhao, Ziyu…
Summary of Training and Evaluating Language Models with Template-based Data Generation, by Yifan Zhang
Training and Evaluating Language Models with Template-based Data Generationby Yifan ZhangFirst submitted to arxiv on:…
Summary of Leveraging Large Language Models and Topic Modeling For Toxicity Classification, by Haniyeh Ehsani Oskouie et al.
Leveraging Large Language Models and Topic Modeling for Toxicity Classificationby Haniyeh Ehsani Oskouie, Christina Chance,…
Summary of Can Artificial Intelligence Predict Clinical Trial Outcomes?, by Shuyi Jin et al.
Can artificial intelligence predict clinical trial outcomes?by Shuyi Jin, Lu Chen, Hongru Ding, Meijie Wang,…
Summary of On Limitations Of Llm As Annotator For Low Resource Languages, by Suramya Jadhav et al.
On Limitations of LLM as Annotator for Low Resource Languagesby Suramya Jadhav, Abhay Shanbhag, Amogh…
Summary of Clover: Cross-layer Orthogonal Vectors Pruning and Fine-tuning, by Fanxu Meng et al.
CLOVER: Cross-Layer Orthogonal Vectors Pruning and Fine-Tuningby Fanxu Meng, Pingzhi Tang, Fan jiang, Muhan ZhangFirst…
Summary of Apt: Architectural Planning and Text-to-blueprint Construction Using Large Language Models For Open-world Agents, by Jun Yu Chen et al.
APT: Architectural Planning and Text-to-Blueprint Construction Using Large Language Models for Open-World Agentsby Jun Yu…
Summary of Scaling Laws For Black Box Adversarial Attacks, by Chuan Liu et al.
Scaling Laws for Black box Adversarial Attacksby Chuan Liu, Huanran Chen, Yichi Zhang, Yinpeng Dong,…
Summary of Catp-llm: Empowering Large Language Models For Cost-aware Tool Planning, by Duo Wu et al.
CATP-LLM: Empowering Large Language Models for Cost-Aware Tool Planningby Duo Wu, Jinghe Wang, Yuan Meng,…