Summary of No Argument Left Behind: Overlapping Chunks For Faster Processing Of Arbitrarily Long Legal Texts, by Israel Fama et al.
No Argument Left Behind: Overlapping Chunks for Faster Processing of Arbitrarily Long Legal Textsby Israel…
Summary of Enriching Gnns with Text Contextual Representations For Detecting Disinformation Campaigns on Social Media, by Bruno Croso Cunha Da Silva et al.
Enriching GNNs with Text Contextual Representations for Detecting Disinformation Campaigns on Social Mediaby Bruno Croso…
Summary of Team: Topological Evolution-aware Framework For Traffic Forecasting–extended Version, by Duc Kieu et al.
TEAM: Topological Evolution-aware Framework for Traffic Forecasting–Extended Versionby Duc Kieu, Tung Kieu, Peng Han, Bin…
Summary of Map: Multi-human-value Alignment Palette, by Xinran Wang et al.
MAP: Multi-Human-Value Alignment Paletteby Xinran Wang, Qi Le, Ammar Ahmed, Enmao Diao, Yi Zhou, Nathalie…
Summary of Inference Time Llm Alignment in Single and Multidomain Preference Spectrum, by Sadat Shahriar et al.
Inference time LLM alignment in single and multidomain preference spectrumby Sadat Shahriar, Zheng Qi, Nikolaos…
Summary of Binary Classification: Is Boosting Stronger Than Bagging?, by Dimitris Bertsimas and Vasiliki Stoumpou
Binary Classification: Is Boosting stronger than Bagging?by Dimitris Bertsimas, Vasiliki StoumpouFirst submitted to arxiv on:…
Summary of Predicting Liquidity Coverage Ratio with Gated Recurrent Units: a Deep Learning Model For Risk Management, by Zhen Xu et al.
Predicting Liquidity Coverage Ratio with Gated Recurrent Units: A Deep Learning Model for Risk Managementby…
Summary of Equitable Federated Learning with Activation Clustering, by Antesh Upadhyay and Abolfazl Hashemi
Equitable Federated Learning with Activation Clusteringby Antesh Upadhyay, Abolfazl HashemiFirst submitted to arxiv on: 24…
Summary of No Free Lunch: Fundamental Limits Of Learning Non-hallucinating Generative Models, by Changlong Wu et al.
No Free Lunch: Fundamental Limits of Learning Non-Hallucinating Generative Modelsby Changlong Wu, Ananth Grama, Wojciech…
Summary of Peptide-gpt: Generative Design Of Peptides Using Generative Pre-trained Transformers and Bio-informatic Supervision, by Aayush Shah and Chakradhar Guntuboina and Amir Barati Farimani
Peptide-GPT: Generative Design of Peptides using Generative Pre-trained Transformers and Bio-informatic Supervisionby Aayush Shah, Chakradhar…