Summary of Hound: Hunting Supervision Signals For Few and Zero Shot Node Classification on Text-attributed Graph, by Yuxiang Wang et al.
Hound: Hunting Supervision Signals for Few and Zero Shot Node Classification on Text-attributed Graphby Yuxiang…
Summary of A Survey For Large Language Models in Biomedicine, by Chong Wang et al.
A Survey for Large Language Models in Biomedicineby Chong Wang, Mengyao Li, Junjun He, Zhongruo…
Summary of Open-vocabulary Action Localization with Iterative Visual Prompting, by Naoki Wake et al.
Open-Vocabulary Action Localization with Iterative Visual Promptingby Naoki Wake, Atsushi Kanehira, Kazuhiro Sasabuchi, Jun Takamatsu,…
Summary of Hermes: Temporal-coherent Long-form Understanding with Episodes and Semantics, by Gueter Josmy Faure et al.
HERMES: temporal-coHERent long-forM understanding with Episodes and Semanticsby Gueter Josmy Faure, Jia-Fong Yeh, Min-Hung Chen,…
Summary of Assessing Large Language Models For Online Extremism Research: Identification, Explanation, and New Knowledge, by Beidi Dong et al.
Assessing Large Language Models for Online Extremism Research: Identification, Explanation, and New Knowledgeby Beidi Dong,…
Summary of Sam2point: Segment Any 3d As Videos in Zero-shot and Promptable Manners, by Ziyu Guo et al.
SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Mannersby Ziyu Guo, Renrui Zhang,…
Summary of Atari-gpt: Benchmarking Multimodal Large Language Models As Low-level Policies in Atari Games, by Nicholas R. Waytowich et al.
Atari-GPT: Benchmarking Multimodal Large Language Models as Low-Level Policies in Atari Gamesby Nicholas R. Waytowich,…
Summary of Examining the Commitments and Difficulties Inherent in Multimodal Foundation Models For Street View Imagery, by Zhenyuan Yang et al.
Examining the Commitments and Difficulties Inherent in Multimodal Foundation Models for Street View Imageryby Zhenyuan…
Summary of Large Language Models Are Self-taught Reasoners: Enhancing Llm Applications Via Tailored Problem-solving Demonstrations, by Kai Tzu-iunn Ong et al.
Large Language Models Are Self-Taught Reasoners: Enhancing LLM Applications via Tailored Problem-Solving Demonstrationsby Kai Tzu-iunn…
Summary of Gratr: Zero-shot Evidence Graph Retrieval-augmented Trustworthiness Reasoning, by Ying Zhu et al.
GRATR: Zero-Shot Evidence Graph Retrieval-Augmented Trustworthiness Reasoningby Ying Zhu, Shengchang Li, Ziqian Kong, Qiang Yang,…