Summary of Large Language Models Are Zero-shot Recognizers For Activities Of Daily Living, by Gabriele Civitarese et al.
Large Language Models are Zero-Shot Recognizers for Activities of Daily Livingby Gabriele Civitarese, Michele Fiori,…
Large Language Models are Zero-Shot Recognizers for Activities of Daily Livingby Gabriele Civitarese, Michele Fiori,…
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Modelby Lingyue Fu, Hao Guan,…
SGCCNet: Single-Stage 3D Object Detector With Saliency-Guided Data Augmentation and Confidence Correction Mechanismby Ao Liang,…
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluationby Jinsheng Huang, Liang Chen, Taian Guo,…
PFME: A Modular Approach for Fine-grained Hallucination Detection and Editing of Large Language Modelsby Kunquan…
Leveraging Ontologies to Document Bias in Databy Mayra Russo, Maria-Esther VidalFirst submitted to arxiv on:…
Test Case Features as Hyper-heuristics for Inductive Programmingby Edward McDaid, Sarah McDaidFirst submitted to arxiv…
Answering real-world clinical questions using large language model based systemsby Yen Sia Low, Michael L.…
Efficient Personalized Text-to-image Generation by Leveraging Textual Subspaceby Shian Du, Xiaotian Cheng, Qi Qian, Henglu…
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Modelsby Weihong Zhong, Xiaocheng Feng,…