Summary of Rainbow Teaming: Open-ended Generation Of Diverse Adversarial Prompts, by Mikayel Samvelyan et al.
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Promptsby Mikayel Samvelyan, Sharath Chandra Raparthy, Andrei Lupu,…
Summary of Nemotron-4 15b Technical Report, by Jupinder Parmar and Shrimai Prabhumoye and Joseph Jennings and Mostofa Patwary and Sandeep Subramanian and Dan Su and Chen Zhu and Deepak Narayanan and Aastha Jhunjhunwala and Ayush Dattagupta and Vibhu Jawa and Jiwei Liu and Ameya Mahabaleshwarkar and Osvald Nitski and Annika Brundyn and James Maki and Miguel Martinez and Jiaxuan You and John Kamalu and Patrick Legresley and Denys Fridman and Jared Casper and Ashwath Aithal and Oleksii Kuchaiev and Mohammad Shoeybi and Jonathan Cohen and Bryan Catanzaro
Nemotron-4 15B Technical Reportby Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, Mostofa Patwary, Sandeep Subramanian, Dan…
Summary of Language Agents As Optimizable Graphs, by Mingchen Zhuge et al.
Language Agents as Optimizable Graphsby Mingchen Zhuge, Wenyi Wang, Louis Kirsch, Francesco Faccio, Dmitrii Khizbullin,…
Summary of Language-guided Skill Learning with Temporal Variational Inference, by Haotian Fu et al.
Language-guided Skill Learning with Temporal Variational Inferenceby Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris,…
Summary of An Integrated Data Processing Framework For Pretraining Foundation Models, by Yiding Sun et al.
An Integrated Data Processing Framework for Pretraining Foundation Modelsby Yiding Sun, Feng Wang, Yutao Zhu,…
Summary of C-gail: Stabilizing Generative Adversarial Imitation Learning with Control Theory, by Tianjiao Luo et al.
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theoryby Tianjiao Luo, Tim Pearce, Huayu Chen,…
Summary of Where Do We Go From Here? Multi-scale Allocentric Relational Inference From Natural Spatial Descriptions, by Tzuf Paz-argaman et al.
Where Do We Go from Here? Multi-scale Allocentric Relational Inference from Natural Spatial Descriptionsby Tzuf…
Summary of Feedback Efficient Online Fine-tuning Of Diffusion Models, by Masatoshi Uehara et al.
Feedback Efficient Online Fine-Tuning of Diffusion Modelsby Masatoshi Uehara, Yulai Zhao, Kevin Black, Ehsan Hajiramezanali,…
Summary of Generative Ai in Vision: a Survey on Models, Metrics and Applications, by Gaurav Raut and Apoorv Singh
Generative AI in Vision: A Survey on Models, Metrics and Applicationsby Gaurav Raut, Apoorv SinghFirst…
Summary of Graph Learning Under Distribution Shifts: a Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning, by Man Wu et al.
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learningby…