Summary of A Comprehensive Evaluation Of Large Language Models on Mental Illnesses, by Abdelrahman Hanafi et al.
A Comprehensive Evaluation of Large Language Models on Mental Illnessesby Abdelrahman Hanafi, Mohammed Saad, Noureldin…
Summary of Learning From Contrastive Prompts: Automated Optimization and Adaptation, by Mingqi Li et al.
Learning from Contrastive Prompts: Automated Optimization and Adaptationby Mingqi Li, Karan Aggarwal, Yong Xie, Aitzaz…
Summary of Vleu: a Method For Automatic Evaluation For Generalizability Of Text-to-image Models, by Jingtao Cao et al.
VLEU: a Method for Automatic Evaluation for Generalizability of Text-to-Image Modelsby Jingtao Cao, Zheng Zhang,…
Summary of Automotive Innovation Landscaping Using Llm, by Raju Gorain and Omkar Salunke
Automotive innovation landscaping using LLMby Raju Gorain, Omkar SalunkeFirst submitted to arxiv on: 22 Sep…
Summary of Measuring Copyright Risks Of Large Language Model Via Partial Information Probing, by Weijie Zhao et al.
Measuring Copyright Risks of Large Language Model via Partial Information Probingby Weijie Zhao, Huajie Shao,…
Summary of Region Prompt Tuning: Fine-grained Scene Text Detection Utilizing Region Text Prompt, by Xingtao Lin et al.
Region Prompt Tuning: Fine-grained Scene Text Detection Utilizing Region Text Promptby Xingtao Lin, Heqian Qiu,…
Summary of Prompt Baking, by Aman Bhargava et al.
Prompt Bakingby Aman Bhargava, Cameron Witkowski, Alexander Detkov, Matt ThomsonFirst submitted to arxiv on: 4…
Summary of Diva-docre: a Discriminative and Voice-aware Paradigm For Document-level Relation Extraction, by Yiheng Wu et al.
DiVA-DocRE: A Discriminative and Voice-Aware Paradigm for Document-Level Relation Extractionby Yiheng Wu, Roman Yangarber, Xian…
Summary of Inversemeetinsert: Robust Real Image Editing Via Geometric Accumulation Inversion in Guided Diffusion Models, by Yan Zheng et al.
InverseMeetInsert: Robust Real Image Editing via Geometric Accumulation Inversion in Guided Diffusion Modelsby Yan Zheng,…
Summary of Diversity-grounded Channel Prototypical Learning For Out-of-distribution Intent Detection, by Bo Liu et al.
Diversity-grounded Channel Prototypical Learning for Out-of-Distribution Intent Detectionby Bo Liu, Liming Zhan, Yujie Feng, Zexin…