Summary of Realistic Evaluation Of Model Merging For Compositional Generalization, by Derek Tam et al.
Realistic Evaluation of Model Merging for Compositional Generalizationby Derek Tam, Yash Kant, Brian Lester, Igor…
Realistic Evaluation of Model Merging for Compositional Generalizationby Derek Tam, Yash Kant, Brian Lester, Igor…
DisGeM: Distractor Generation for Multiple Choice Questions with Span Maskingby Devrim Cavusoglu, Secil Sen, Ulas…
Graph Reasoning with Large Language Models via Pseudo-code Promptingby Konstantinos Skianis, Giannis Nikolentzos, Michalis VazirgiannisFirst…
On the Implicit Relation Between Low-Rank Adaptation and Differential Privacyby Saber Malekmohammadi, Golnoosh FarnadiFirst submitted…
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizerby Benji Peng,…
A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithmsby Ruihao Gong, Yifu Ding,…
Privacy Evaluation Benchmarks for NLP Modelsby Wei Huang, Yinggui Wang, Cen ChenFirst submitted to arxiv…
Fine-Tuning a Time Series Foundation Model with Wasserstein Lossby Andrei ChernovFirst submitted to arxiv on:…
MedCodER: A Generative AI Assistant for Medical Codingby Krishanu Das Baksi, Elijah Soba, John J.…
ASTE Transformer Modelling Dependencies in Aspect-Sentiment Triplet Extractionby Iwo Naglik, Mateusz LangoFirst submitted to arxiv…