Summary of Iw-bench: Evaluating Large Multimodal Models For Converting Image-to-web, by Hongcheng Guo et al.
IW-Bench: Evaluating Large Multimodal Models for Converting Image-to-Webby Hongcheng Guo, Wei Zhang, Junhao Chen, Yaonan…
Summary of Aer-llm: Ambiguity-aware Emotion Recognition Leveraging Large Language Models, by Xin Hong et al.
AER-LLM: Ambiguity-aware Emotion Recognition Leveraging Large Language Modelsby Xin Hong, Yuan Gong, Vidhyasaharan Sethu, Ting…
Summary of Learning to Love Edge Cases in Formative Math Assessment: Using the Ammore Dataset and Chain-of-thought Prompting to Improve Grading Accuracy, by Owen Henkel et al.
Learning to Love Edge Cases in Formative Math Assessment: Using the AMMORE Dataset and Chain-of-Thought…
Summary of Just Say What You Want: Only-prompting Self-rewarding Online Preference Optimization, by Ruijie Xu et al.
Just Say What You Want: Only-prompting Self-rewarding Online Preference Optimizationby Ruijie Xu, Zhihan Liu, Yongfei…
Summary of Attention Prompting on Image For Large Vision-language Models, by Runpeng Yu and Weihao Yu and Xinchao Wang
Attention Prompting on Image for Large Vision-Language Modelsby Runpeng Yu, Weihao Yu, Xinchao WangFirst submitted…
Summary of Prompting Large Language Models For Supporting the Differential Diagnosis Of Anemia, by Elisa Castagnari (heka) et al.
Prompting Large Language Models for Supporting the Differential Diagnosis of Anemiaby Elisa Castagnari, Lillian Muyama,…
Summary of End-to-end Graph Flattening Method For Large Language Models, by Bin Hong et al.
End-to-End Graph Flattening Method for Large Language Modelsby Bin Hong, Jinze Wu, Jiayu Liu, Liang…
Summary of Brotherhood at Wmt 2024: Leveraging Llm-generated Contextual Conversations For Cross-lingual Image Captioning, by Siddharth Betala and Ishan Chokshi
Brotherhood at WMT 2024: Leveraging LLM-Generated Contextual Conversations for Cross-Lingual Image Captioningby Siddharth Betala, Ishan…