Summary of Unifashion: a Unified Vision-language Model For Multimodal Fashion Retrieval and Generation, by Xiangyu Zhao et al.
UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generationby Xiangyu Zhao, Yuehan Zhang,…
Summary of Megen: Generative Backdoor in Large Language Models Via Model Editing, by Jiyang Qiu et al.
MEGen: Generative Backdoor in Large Language Models via Model Editingby Jiyang Qiu, Xinbei Ma, Zhuosheng…
Summary of Development Of An Ai Anti-bullying System Using Large Language Model Key Topic Detection, by Matthew Tassava et al.
Development of an AI Anti-Bullying System Using Large Language Model Key Topic Detectionby Matthew Tassava,…
Summary of Idea: Enhancing the Rule Learning Ability Of Large Language Model Agent Through Induction, Deduction, and Abduction, by Kaiyu He et al.
IDEA: Enhancing the Rule Learning Ability of Large Language Model Agent through Induction, Deduction, and…
Summary of Qpo: Query-dependent Prompt Optimization Via Multi-loop Offline Reinforcement Learning, by Yilun Kong et al.
QPO: Query-dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learningby Yilun Kong, Hangyu Mao, Qi Zhao,…
Summary of Data Augmentation Integrating Dialogue Flow and Style to Adapt Spoken Dialogue Systems to Low-resource User Groups, by Zhiyang Qi and Michimasa Inaba
Data Augmentation Integrating Dialogue Flow and Style to Adapt Spoken Dialogue Systems to Low-Resource User…
Summary of Ffaa: Multimodal Large Language Model Based Explainable Open-world Face Forgery Analysis Assistant, by Zhengchao Huang et al.
FFAA: Multimodal Large Language Model based Explainable Open-World Face Forgery Analysis Assistantby Zhengchao Huang, Bin…
Summary of Gonogo: An Efficient Llm-based Multi-agent System For Streamlining Automotive Software Release Decision-making, by Arsham Gholamzadeh Khoee et al.
GoNoGo: An Efficient LLM-based Multi-Agent System for Streamlining Automotive Software Release Decision-Makingby Arsham Gholamzadeh Khoee,…
Summary of Automl-guided Fusion Of Entity and Llm-based Representations For Document Classification, by Boshko Koloski et al.
AutoML-guided Fusion of Entity and LLM-based Representations for Document Classificationby Boshko Koloski, Senja Pollak, Roberto…
Summary of Importance Weighting Can Help Large Language Models Self-improve, by Chunyang Jiang et al.
Importance Weighting Can Help Large Language Models Self-Improveby Chunyang Jiang, Chi-min Chan, Wei Xue, Qifeng…