Summary of Achieving Peak Performance For Large Language Models: a Systematic Review, by Zhyar Rzgar K Rostam et al.
Achieving Peak Performance for Large Language Models: A Systematic Reviewby Zhyar Rzgar K Rostam, Sándor…
Achieving Peak Performance for Large Language Models: A Systematic Reviewby Zhyar Rzgar K Rostam, Sándor…
Defeasible Reasoning on Conceptsby Yiwen Ding, Krishna Manoorkar, Ni Wayan Switrayni, Ruoding WangFirst submitted to…
Maximizing Relation Extraction Potential: A Data-Centric Study to Unveil Challenges and Opportunitiesby Anushka Swarup, Avanti…
TRACE-CS: A Synergistic Approach to Explainable Course Scheduling Using LLMs and Logicby Stylianos Loukas Vasileiou,…
NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Callsby Kinjal Basu, Ibrahim…
A Different Level Text Protection Mechanism With Differential Privacyby Qingwen FuFirst submitted to arxiv on:…
Harnessing LLMs for Cross-City OD Flow Predictionby Chenyang Yu, Xinpeng Xie, Yan Huang, Chenxi QiuFirst…
HUMOS: Human Motion Model Conditioned on Body Shapeby Shashank Tripathi, Omid Taheri, Christoph Lassner, Michael…
FODA-PG for Enhanced Medical Imaging Narrative Generation: Adaptive Differentiation of Normal and Abnormal Attributesby Kai…
COLUMBUS: Evaluating COgnitive Lateral Understanding through Multiple-choice reBUSesby Koen Kraaijveld, Yifan Jiang, Kaixin Ma, Filip…