Summary of Emovit: Revolutionizing Emotion Insights with Visual Instruction Tuning, by Hongxia Xie et al.
EmoVIT: Revolutionizing Emotion Insights with Visual Instruction Tuningby Hongxia Xie, Chu-Jun Peng, Yu-Wen Tseng, Hung-Jen…
Summary of List Items One by One: a New Data Source and Learning Paradigm For Multimodal Llms, By An Yan et al.
List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMsby…
Summary of Crossin: An Efficient Instruction Tuning Approach For Cross-lingual Knowledge Alignment, by Geyu Lin et al.
CrossIn: An Efficient Instruction Tuning Approach for Cross-Lingual Knowledge Alignmentby Geyu Lin, Bin Wang, Zhengyuan…
Summary of Uniaa: a Unified Multi-modal Image Aesthetic Assessment Baseline and Benchmark, by Zhaokun Zhou et al.
UNIAA: A Unified Multi-modal Image Aesthetic Assessment Baseline and Benchmarkby Zhaokun Zhou, Qiulin Wang, Bin…
Summary of Enhancing Question Answering For Enterprise Knowledge Bases Using Large Language Models, by Feihu Jiang and Chuan Qin and Kaichun Yao and Chuyu Fang and Fuzhen Zhuang and Hengshu Zhu and Hui Xiong
Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Modelsby Feihu Jiang, Chuan Qin,…
Summary of Mimir: a Streamlined Platform For Personalized Agent Tuning in Domain Expertise, by Chunyuan Deng et al.
MIMIR: A Streamlined Platform for Personalized Agent Tuning in Domain Expertiseby Chunyuan Deng, Xiangru Tang,…
Summary of Coig-cqia: Quality Is All You Need For Chinese Instruction Fine-tuning, by Yuelin Bai et al.
COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuningby Yuelin Bai, Xinrun Du, Yiming…
Summary of Towards a Rag-based Summarization Agent For the Electron-ion Collider, by Karthik Suresh et al.
Towards a RAG-based Summarization Agent for the Electron-Ion Colliderby Karthik Suresh, Neeltje Kackar, Luke Schleck,…
Summary of Log Probabilities Are a Reliable Estimate Of Semantic Plausibility in Base and Instruction-tuned Language Models, by Carina Kauf et al.
Log Probabilities Are a Reliable Estimate of Semantic Plausibility in Base and Instruction-Tuned Language Modelsby…