Improving Legal Entity Recognition Using a Hybrid Transformer Model and Semantic Filtering Approachby Duraimurugan RajamanickamFirst…
Generalizable autoregressive modeling of time series through functional narrativesby Ran Liu, Wenrui Ma, Ellen Zippi,…
JurEE not Judges: safeguarding llm interactions with small, specialised Encoder Ensemblesby Dom NasrabadiFirst submitted to…
Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?by Khashayar Gatmiry, Nikunj…
HyperDPO: Conditioned One-Shot Multi-Objective Fine-Tuning Frameworkby Yinuo Ren, Tesi Xiao, Michael Shavlovsky, Lexing Ying, Holakou…
DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generationby Jiatao Gu, Yuyang Wang, Yizhe Zhang, Qihang…
Self-Attention Mechanism in Multimodal Context for Banking Transaction Flowby Cyrile Delestre, Yoann SolaFirst submitted to…
Pretraining Graph Transformers with Atom-in-a-Molecule Quantum Properties for Improved ADMET Modelingby Alessio Fallani, Ramil Nugmanov,…
MolMix: A Simple Yet Effective Baseline for Multimodal Molecular Representation Learningby Andrei Manolache, Dragos Tantaru,…
Towards Quantifying The Privacy Of Redacted Textby Vaibhav Gusain, Douglas LeithFirst submitted to arxiv on:…