FAIREDU: A Multiple Regression-Based Method for Enhancing Fairness in Machine Learning Models for Educational Applicationsby…
NLP Case Study on Predicting the Before and After of the Ukraine-Russia and Hamas-Israel Conflictsby…
Stress Detection on Code-Mixed Texts in Dravidian Languages using Machine Learningby L. Ramos, M. Shahiki-Tash,…
EVOLvE: Evaluating and Optimizing LLMs For Explorationby Allen Nie, Yi Su, Bo Chang, Jonathan N.…
SymDiff: Equivariant Diffusion via Stochastic Symmetrisationby Leo Zhang, Kianoosh Ashouritaklimi, Yee Whye Teh, Rob CornishFirst…
SHADE: Deep Density-based Clusteringby Anna Beer, Pascal Weber, Lukas Miklautz, Collin Leiber, Walid Durani, Christian…
Think While You Generate: Discrete Diffusion with Planned Denoisingby Sulin Liu, Juno Nam, Andrew Campbell,…
Mixture Compressor for Mixture-of-Experts LLMs Gains Moreby Wei Huang, Yue Liao, Jianhui Liu, Ruifei He,…
Solving Functional Optimization with Deep Networks and Variational Principlesby Kawisorn Kamtue, Jose M.F. Moura, Orathai…
Non-Halting Queries: Exploiting Fixed Points in LLMsby Ghaith Hammouri, Kemal Derya, Berk SunarFirst submitted to…