commit files to HF hub

papers.csv

@@ -1321,7 +1321,7 @@ Gaussian processes at the Helm(holtz): A more fluid model for ocean currents,"Re
 Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons,"Rasmus Kjær Høier, D. Staudt, Christopher Zach",http://arxiv.org/abs/2302.01228,,https://huggingface.co/papers/2302.01228,,,,2302.01228,3,0
 Quantized Distributed Training of Large Models with Convergence Guarantees,"Ilia Markov, Adrian Vladu, Qi Guo, Dan Alistarh",http://arxiv.org/abs/2302.02390,,https://huggingface.co/papers/2302.02390,,,,2302.02390,4,0
 SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models,"Guangxuan Xiao, Ji Lin, Mickael Seznec, Hao Wu, Julien Demouth, Song Han",http://arxiv.org/abs/2211.10438,https://github.com/mit-han-lab/smoothquant,https://huggingface.co/papers/2211.10438,,,,2211.10438,6,3
-Efficiently predicting high resolution mass spectra with graph neural networks,"Michael Murphy, Stefanie Jegelka, Ernest Fraenkel, Tobias Kind, David Healey, Thomas Butler",http://arxiv.org/abs/2301.11419,,https://huggingface.co/papers/2301.11419,,,,2301.11419,6,0
+Efficiently predicting high resolution mass spectra with graph neural networks,"Michael Murphy, Stefanie Jegelka, Ernest Fraenkel, Tobias Kind, David Healey, Thomas Butler",http://arxiv.org/abs/2301.11419,,https://huggingface.co/papers/2301.11419,,,,2301.11419,6,1
 Learning to Design Analog Circuits to Meet Threshold Specifications,"Dmitrii Krylov, Pooya Khajeh, Junhan Ouyang, Thomas Reeves, Tongkai Liu, Hiba Ajmal, Hamidreza Aghasi, Roy Fox",,,,,,,,,
 Can Large Language Models Reason about Program Behavior?,"Kexin Pei, David Bieber, Kensen Shi, Charles Sutton, Pengcheng Yin",,,,,,,,,
 Overcoming Simplicity Bias in Deep Networks using a Feature Sieve,"Rishabh Tiwari, Pradeep Shenoy",http://arxiv.org/abs/2301.13293,,https://huggingface.co/papers/2301.13293,,,,2301.13293,2,0