Summary of Tc-llava: Rethinking the Transfer From Image to Video Understanding with Temporal Considerations, by Mingze Gao et al.
TC-LLaVA: Rethinking the Transfer from Image to Video Understanding with Temporal Considerationsby Mingze Gao, Jingyu…
Summary of Boosting Generalizability Towards Zero-shot Cross-dataset Single-image Indoor Depth by Meta-initialization, By Cho-ying Wu et al.
Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image Indoor Depth by Meta-Initializationby Cho-Ying Wu, Yiqi Zhong, Junying…
Summary of Adacomp: Extractive Context Compression with Adaptive Predictor For Retrieval-augmented Large Language Models, by Qianchi Zhang and Hainan Zhang and Liang Pang and Hongwei Zheng and Zhiming Zheng
AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Modelsby Qianchi Zhang, Hainan…
Summary of Path-consistency: Prefix Enhancement For Efficient Inference in Llm, by Jiace Zhu et al.
Path-Consistency: Prefix Enhancement for Efficient Inference in LLMby Jiace Zhu, Yingtao Shen, Jie Zhao, An…
Summary of Vired: Prediction Of Visual Relations in Engineering Drawings, by Chao Gu et al.
ViRED: Prediction of Visual Relations in Engineering Drawingsby Chao Gu, Ke Lin, Yiyang Luo, Jiahui…
Summary of Learning in Hybrid Active Inference Models, by Poppy Collis et al.
Learning in Hybrid Active Inference Modelsby Poppy Collis, Ryan Singh, Paul F Kinghorn, Christopher L…
Summary of Concse: Unified Contrastive Learning and Augmentation For Code-switched Embeddings, by Jangyeong Jeon et al.
ConCSE: Unified Contrastive Learning and Augmentation for Code-Switched Embeddingsby Jangyeong Jeon, Sangyeon Cho, Minuk Ma,…
Summary of Enhancing Natural Language Inference Performance with Knowledge Graph For Covid-19 Automated Fact-checking in Indonesian Language, by Arief Purnama Muharram and Ayu Purwarianti
Enhancing Natural Language Inference Performance with Knowledge Graph for COVID-19 Automated Fact-Checking in Indonesian Languageby…
Summary of Smaller, Weaker, Yet Better: Training Llm Reasoners Via Compute-optimal Sampling, by Hritik Bansal et al.
Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Samplingby Hritik Bansal, Arian Hosseini, Rishabh…
Summary of Vq4dit: Efficient Post-training Vector Quantization For Diffusion Transformers, by Juncan Deng et al.
VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformersby Juncan Deng, Shuaiting Li, Zeyu Wang, Hong…