Summary of Deep Active Learning with Manifold-preserving Trajectory Sampling, by Yingrui Ji et al.
Deep Active Learning with Manifold-preserving Trajectory Samplingby Yingrui Ji, Vijaya Sindhoori Kaza, Nishanth Artham, Tianyang…
Deep Active Learning with Manifold-preserving Trajectory Samplingby Yingrui Ji, Vijaya Sindhoori Kaza, Nishanth Artham, Tianyang…
GATEAU: Selecting Influential Samples for Long Context Alignmentby Shuzheng Si, Haozhe Zhao, Gang Chen, Yunshui…
Resource-Efficient Medical Report Generation using Large Language Modelsby Abdullah, Ameer Hamza, Seong Tae KimFirst submitted…
Chasing Random: Instruction Selection Strategies Fail to Generalizeby Harshita Diddee, Daphne IppolitoFirst submitted to arxiv…
Bias Amplification: Large Language Models as Increasingly Biased Mediaby Ze Wang, Zekun Wu, Jeremy Zhang,…
Economic Anthropology in the Era of Generative Artificial Intelligenceby Zachary Sheldon, Peeyush KumarFirst submitted to…
Lossless KV Cache Compression to 2%by Zhen Yang, J.N.Han, Kan Wu, Ruobing Xie, An Wang,…
AI Can Enhance Creativity in Social Networksby Raiyan Abdul Baten, Ali Sarosh Bangash, Krish Veera,…
Contextual Augmented Multi-Model Programming (CAMP): A Hybrid Local-Cloud Copilot Frameworkby Yuchen Wang, Shangxin Guo, Chee…
ContextDet: Temporal Action Detection with Adaptive Context Aggregationby Ning Wang, Yun Xiao, Xiaopeng Peng, Xiaojun…