Summary of Commonit: Commonality-aware Instruction Tuning For Large Language Models Via Data Partitions, by Jun Rao et al.
CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitionsby Jun Rao, Xuebo Liu,…
Summary of Emotion-aware Embedding Fusion in Llms (flan-t5, Llama 2, Deepseek-r1, and Chatgpt 4) For Intelligent Response Generation, by Abdur Rasool et al.
Emotion-Aware Embedding Fusion in LLMs (Flan-T5, LLAMA 2, DeepSeek-R1, and ChatGPT 4) for Intelligent Response…
Summary of Ace: All-round Creator and Editor Following Instructions Via Diffusion Transformer, by Zhen Han et al.
ACE: All-round Creator and Editor Following Instructions via Diffusion Transformerby Zhen Han, Zeyinzi Jiang, Yulin…
Summary of Semantic-driven Topic Modeling Using Transformer-based Embeddings and Clustering Algorithms, by Melkamu Abay Mersha et al.
Semantic-Driven Topic Modeling Using Transformer-Based Embeddings and Clustering Algorithmsby Melkamu Abay Mersha, Mesay Gemeda yigezu,…
Summary of Research on Predicting Public Opinion Event Heat Levels Based on Large Language Models, by Yi Ren et al.
Research on Predicting Public Opinion Event Heat Levels Based on Large Language Modelsby Yi Ren,…
Summary of Exploring Semantic Clustering in Deep Reinforcement Learning For Video Games, by Liang Zhang et al.
Exploring Semantic Clustering in Deep Reinforcement Learning for Video Gamesby Liang Zhang, Justin Lieffers, Adarsh…
Summary of Claim-guided Textual Backdoor Attack For Practical Applications, by Minkyoo Song et al.
Claim-Guided Textual Backdoor Attack for Practical Applicationsby Minkyoo Song, Hanna Kim, Jaehan Kim, Youngjin Jin,…
Summary of Mitigating Semantic Leakage in Cross-lingual Embeddings Via Orthogonality Constraint, by Dayeon Ki et al.
Mitigating Semantic Leakage in Cross-lingual Embeddings via Orthogonality Constraintby Dayeon Ki, Cheonbok Park, Hyunjoong KimFirst…
Summary of Mammo-clustering: a Multi-views Tri-level Information Fusion Context Clustering Framework For Localization and Classification in Mammography, by Shilong Yang et al.
Mammo-Clustering: A Multi-views Tri-level Information Fusion Context Clustering Framework for Localization and Classification in Mammographyby…
Summary of A Novel Adaptive Fine-tuning Algorithm For Multimodal Models: Self-optimizing Classification and Selection Of High-quality Datasets in Remote Sensing, by Yi Ren et al.
A Novel Adaptive Fine-Tuning Algorithm for Multimodal Models: Self-Optimizing Classification and Selection of High-Quality Datasets…