Summary of Comparing Hallucination Detection Metrics For Multilingual Generation, by Haoqiang Kang et al.
Comparing Hallucination Detection Metrics for Multilingual Generationby Haoqiang Kang, Terra Blevins, Luke ZettlemoyerFirst submitted to…
Summary of Attention Guided Cam: Visual Explanations Of Vision Transformer Guided by Self-attention, By Saebom Leem et al.
Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attentionby Saebom Leem, Hyunseok SeoFirst…
Summary of Prompting Implicit Discourse Relation Annotation, by Frances Yung et al.
Prompting Implicit Discourse Relation Annotationby Frances Yung, Mansoor Ahmad, Merel Scholman, Vera DembergFirst submitted to…
Summary of Knowledge Generation For Zero-shot Knowledge-based Vqa, by Rui Cao and Jing Jiang
Knowledge Generation for Zero-shot Knowledge-based VQAby Rui Cao, Jing JiangFirst submitted to arxiv on: 4…
Summary of Leveraging Swin Transformer For Local-to-global Weakly Supervised Semantic Segmentation, by Rozhan Ahmadi et al.
Leveraging Swin Transformer for Local-to-Global Weakly Supervised Semantic Segmentationby Rozhan Ahmadi, Shohreh KasaeiFirst submitted to…
Summary of Morality Is Non-binary: Building a Pluralist Moral Sentence Embedding Space Using Contrastive Learning, by Jeongwoo Park et al.
Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learningby Jeongwoo Park,…
Summary of Sdrdpy: An Application to Graphically Visualize the Knowledge Obtained with Supervised Descriptive Rule Algorithms, by M.a. Padilla-rascon et al.
SDRDPy: An application to graphically visualize the knowledge obtained with supervised descriptive rule algorithmsby M.A. Padilla-Rascon,…
Summary of Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained Llms, by Stepan Tytarenko et al.
Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMsby Stepan…
Summary of Breaking the Barrier: Selective Uncertainty-based Active Learning For Medical Image Segmentation, by Siteng Ma et al.
Breaking the Barrier: Selective Uncertainty-based Active Learning for Medical Image Segmentationby Siteng Ma, Haochang Wu,…
Summary of Up-cracknet: Unsupervised Pixel-wise Road Crack Detection Via Adversarial Image Restoration, by Nachuan Ma et al.
UP-CrackNet: Unsupervised Pixel-Wise Road Crack Detection via Adversarial Image Restorationby Nachuan Ma, Rui Fan, Lihua…