Summary of Zipvl: Efficient Large Vision-language Models with Dynamic Token Sparsification, by Yefei He et al.
ZipVL: Efficient Large Vision-Language Models with Dynamic Token Sparsificationby Yefei He, Feng Chen, Jing Liu,…
Summary of What Killed the Cat? Towards a Logical Formalization Of Curiosity (and Suspense, and Surprise) in Narratives, by Florence Dupin De Saint-cyr (irit-adria) et al.
What killed the cat? Towards a logical formalization of curiosity (and suspense, and surprise) in…
Summary of Conjugated Semantic Pool Improves Ood Detection with Pre-trained Vision-language Models, by Mengyuan Chen et al.
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Modelsby Mengyuan Chen, Junyu Gao, Changsheng…
Summary of Human and Llm Biases in Hate Speech Annotations: a Socio-demographic Analysis Of Annotators and Targets, by Tommaso Giorgi et al.
Human and LLM Biases in Hate Speech Annotations: A Socio-Demographic Analysis of Annotators and Targetsby…
Summary of Probabilistic Satisfaction Of Temporal Logic Constraints in Reinforcement Learning Via Adaptive Policy-switching, by Xiaoshan Lin et al.
Probabilistic Satisfaction of Temporal Logic Constraints in Reinforcement Learning via Adaptive Policy-Switchingby Xiaoshan Lin, Sadık…
Summary of Grabdae: An Innovative Framework For Unsupervised Domain Adaptation Utilizing Grab-mask and Denoise Auto-encoder, by Junzhou Chen et al.
GrabDAE: An Innovative Framework for Unsupervised Domain Adaptation Utilizing Grab-Mask and Denoise Auto-Encoderby Junzhou Chen,…
Summary of The Computational Complexity Of Circuit Discovery For Inner Interpretability, by Federico Adolfi et al.
The Computational Complexity of Circuit Discovery for Inner Interpretabilityby Federico Adolfi, Martina G. Vilas, Todd…
Summary of Teaching-inspired Integrated Prompting Framework: a Novel Approach For Enhancing Reasoning in Large Language Models, by Wenting Tan et al.
Teaching-Inspired Integrated Prompting Framework: A Novel Approach for Enhancing Reasoning in Large Language Modelsby Wenting…
Summary of Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering, by Yuan Sui et al.
Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question…
Summary of Saka: An Intelligent Platform For Semi-automated Knowledge Graph Construction and Application, by Hanrong Zhang et al.
SAKA: An Intelligent Platform for Semi-automated Knowledge Graph Construction and Applicationby Hanrong Zhang, Xinyue Wang,…