Summary of Legallens: Leveraging Llms For Legal Violation Identification in Unstructured Text, by Dor Bernsohn et al.
LegalLens: Leveraging LLMs for Legal Violation Identification in Unstructured Textby Dor Bernsohn, Gil Semo, Yaron…
Summary of The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry, by Michael Zhang et al.
The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicryby Michael Zhang, Kush Bhatia,…
Summary of Pqmass: Probabilistic Assessment Of the Quality Of Generative Models Using Probability Mass Estimation, by Pablo Lemos et al.
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimationby Pablo Lemos,…
Summary of Adaptive Inference: Theoretical Limits and Unexplored Opportunities, by Soheil Hor et al.
Adaptive Inference: Theoretical Limits and Unexplored Opportunitiesby Soheil Hor, Ying Qian, Mert Pilanci, Amin ArbabianFirst…
Summary of Neural Networks Learn Statistics Of Increasing Complexity, by Nora Belrose et al.
Neural Networks Learn Statistics of Increasing Complexityby Nora Belrose, Quintin Pope, Lucia Quirke, Alex Mallen,…
Summary of Nercc: Nested-regression Coded Computing For Resilient Distributed Prediction Serving Systems, by Parsa Moradi et al.
NeRCC: Nested-Regression Coded Computing for Resilient Distributed Prediction Serving Systemsby Parsa Moradi, Mohammad Ali Maddah-AliFirst…
Summary of Scaling Laws For Learning with Real and Surrogate Data, by Ayush Jain et al.
Scaling laws for learning with real and surrogate databy Ayush Jain, Andrea Montanari, Eren SasogluFirst…
Summary of Bounding the Excess Risk For Linear Models Trained on Marginal-preserving, Differentially-private, Synthetic Data, by Yvonne Zhou et al.
Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Databy Yvonne Zhou,…
Summary of Fine-tuned Language Models Generate Stable Inorganic Materials As Text, by Nate Gruver et al.
Fine-Tuned Language Models Generate Stable Inorganic Materials as Textby Nate Gruver, Anuroop Sriram, Andrea Madotto,…
Summary of Counterfactual Generation with Answer Set Programming, by Sopam Dasgupta et al.
Counterfactual Generation with Answer Set Programmingby Sopam Dasgupta, Farhad Shakerin, Joaquín Arias, Elmer Salazar, Gopal…