Summary of A Bayesian Approach to Harnessing the Power Of Llms in Authorship Attribution, by Zhengmian Hu et al.
A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attributionby Zhengmian Hu, Tong…
Summary of Data Augmentation For Automated Adaptive Rodent Training, by Dibyendu Das et al.
Data Augmentation for Automated Adaptive Rodent Trainingby Dibyendu Das, Alfredo Fontanini, Joshua F. Kogan, Haibin…
Summary of Dellirium: a Large Language Model For Delirium Prediction in the Icu Using Structured Ehr, by Miguel Contreras et al.
DeLLiriuM: A large language model for delirium prediction in the ICU using structured EHRby Miguel…
Summary of Language Model Probabilities Are Not Calibrated in Numeric Contexts, by Charles Lovering et al.
Language Model Probabilities are Not Calibrated in Numeric Contextsby Charles Lovering, Michael Krumdick, Viet Dac…
Summary of Generative Ai, Pragmatics, and Authenticity in Second Language Learning, by Robert Godwin-jones`
Generative AI, Pragmatics, and Authenticity in Second Language Learningby [Robert Godwin-Jones](https://groovesquid.com/?s=Robert+Godwin-Jones)First submitted to arxiv on:…
Summary of Conjugated Semantic Pool Improves Ood Detection with Pre-trained Vision-language Models, by Mengyuan Chen et al.
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Modelsby Mengyuan Chen, Junyu Gao, Changsheng…
Summary of Pointobb-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection, by Botao Ren et al.
PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detectionby Botao Ren, Xue…
Summary of Probabilistic Satisfaction Of Temporal Logic Constraints in Reinforcement Learning Via Adaptive Policy-switching, by Xiaoshan Lin et al.
Probabilistic Satisfaction of Temporal Logic Constraints in Reinforcement Learning via Adaptive Policy-Switchingby Xiaoshan Lin, Sadık…
Summary of The Sampling-gaussian For Stereo Matching, by Baiyu Pan and Jichao Jiao and Bowen Yao and Jianxin Pang and Jun Cheng
The Sampling-Gaussian for stereo matchingby Baiyu Pan, jichao jiao, Bowen Yao, Jianxin Pang, Jun ChengFirst…
Summary of Calibrating Verbalized Probabilities For Large Language Models, by Cheng Wang et al.
Calibrating Verbalized Probabilities for Large Language Modelsby Cheng Wang, Gyuri Szarvas, Georges Balazs, Pavel Danchenko,…