commit files to HF hub

papers.csv

@@ -1054,7 +1054,7 @@ Sketched Ridgeless Linear Regression: The Role of Downsampling,"Xin Chen, Yichen
 Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation,"Siddharth Nagar Nayak, Kenneth Choi, Wenqi Ding, Sydney Dolan, Karthik Gopalakrishnan, Hamsa Balakrishnan",http://arxiv.org/abs/2211.02127,https://github.com/nsidn98/InforMARL,https://huggingface.co/papers/2211.02127,,,,2211.02127,6,1
 POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models,"Korawat Tanwisuth, Shujian Zhang, Huangjie Zheng, Pengcheng He, Mingyuan Zhou",http://arxiv.org/abs/2305.00350,,https://huggingface.co/papers/2305.00350,,,,2305.00350,5,0
 Towards Omni-generalizable Neural Methods for Vehicle Routing Problems,"Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang",http://arxiv.org/abs/2305.19587,https://github.com/RoyalSkye/Omni-VRP,https://huggingface.co/papers/2305.19587,,,,2305.19587,5,0
-Protecting Language Generation Models via Invisible Watermarking,"Xuandong Zhao, Yu-Xiang Wang, Lei Li",http://arxiv.org/abs/2302.03162,,https://huggingface.co/papers/2302.03162,,,,2302.03162,3,0
+Protecting Language Generation Models via Invisible Watermarking,"Xuandong Zhao, Yu-Xiang Wang, Lei Li",http://arxiv.org/abs/2302.03162,,https://huggingface.co/papers/2302.03162,,,,2302.03162,3,1
 Global Optimization with Parametric Function Approximation,"Chong Liu, Yu-Xiang Wang",http://arxiv.org/abs/2211.09100,,https://huggingface.co/papers/2211.09100,,,,2211.09100,2,0
 Non-stationary Reinforcement Learning under General Function Approximation,"Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin LIANG",http://arxiv.org/abs/2306.00861,,https://huggingface.co/papers/2306.00861,,,,2306.00861,6,1
 Demystifying Disagreement-on-the-Line in High Dimensions,"Donghwan Lee, Behrad Moniri, Xinmeng Huang, Edgar Dobriban, Hamed Hassani",http://arxiv.org/abs/2301.13371,,https://huggingface.co/papers/2301.13371,,,,2301.13371,5,0