Summary of Distribution-consistency-guided Multi-modal Hashing, by Jin-yu Liu et al.
Distribution-Consistency-Guided Multi-modal Hashingby Jin-Yu Liu, Xian-Ling Mao, Tian-Yi Che, Rong-Cheng TuFirst submitted to arxiv on:…
Distribution-Consistency-Guided Multi-modal Hashingby Jin-Yu Liu, Xian-Ling Mao, Tian-Yi Che, Rong-Cheng TuFirst submitted to arxiv on:…
Beyond Discrete Personas: Personality Modeling Through Journal Intensive Conversationsby Sayantan Pal, Souvik Das, Rohini K.…
CATER: Leveraging LLM to Pioneer a Multidimensional, Reference-Independent Paradigm in Translation Quality Evaluationby Kurando IIDA,…
CognitionCapturer: Decoding Visual Stimuli From Human EEG Signal With Multimodal Informationby Kaifan Zhang, Lihuo He,…
Automated Image Captioning with CNNs and Transformersby Joshua Adrian Cahyono, Jeremy Nathan JusufFirst submitted to…
Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformersby Dong Hoon Lee, Seunghoon…
On Adversarial Robustness and Out-of-Distribution Robustness of Large Language Modelsby April Yang, Jordan Tab, Parth…
Evaluation of GPT-4o and GPT-4o-mini’s Vision Capabilities for Compositional Analysis from Dried Solution Dropsby Deven…
Learning to Verify Summary Facts with Fine-Grained LLM Feedbackby Jihwan Oh, Jeonghwan Choi, Nicole Hee-Yeon…
LAN: Learning to Adapt Noise for Image Denoisingby Changjin Kim, Tae Hyun Kim, Sungyong BaikFirst…