Summary of Tlex: An Efficient Method For Extracting Exact Timelines From Timeml Temporal Graphs, by Mustafa Ocal et al.
TLEX: An Efficient Method for Extracting Exact Timelines from TimeML Temporal Graphsby Mustafa Ocal, Ning…
Summary of Degrees Of Freedom Matter: Inferring Dynamics From Point Trajectories, by Yan Zhang et al.
Degrees of Freedom Matter: Inferring Dynamics from Point Trajectoriesby Yan Zhang, Sergey Prokudin, Marko Mihajlovic,…
Summary of Attribute-aware Implicit Modality Alignment For Text Attribute Person Search, by Xin Wang et al.
Attribute-Aware Implicit Modality Alignment for Text Attribute Person Searchby Xin Wang, Fangfang Liu, Zheng Li,…
Summary of Efficient Knowledge Infusion Via Kg-llm Alignment, by Zhouyu Jiang et al.
Efficient Knowledge Infusion via KG-LLM Alignmentby Zhouyu Jiang, Ling Zhong, Mengshu Sun, Jun Xu, Rui…
Summary of Ask Llms Directly, “what Shapes Your Bias?”: Measuring Social Bias in Large Language Models, by Jisu Shin et al.
Ask LLMs Directly, “What shapes your bias?”: Measuring Social Bias in Large Language Modelsby Jisu…
Summary of Prompt-based Visual Alignment For Zero-shot Policy Transfer, by Haihan Gao et al.
Prompt-based Visual Alignment for Zero-shot Policy Transferby Haihan Gao, Rui Zhang, Qi Yi, Hantao Yao,…
Summary of Are Language Models Rational? the Case Of Coherence Norms and Belief Revision, by Thomas Hofweber et al.
Are language models rational? The case of coherence norms and belief revisionby Thomas Hofweber, Peter…
Summary of No Captions, No Problem: Captionless 3d-clip Alignment with Hard Negatives Via Clip Knowledge and Llms, by Cristian Sbrolli and Matteo Matteucci
No Captions, No Problem: Captionless 3D-CLIP Alignment with Hard Negatives via CLIP Knowledge and LLMsby…
Summary of Fedmkt: Federated Mutual Knowledge Transfer For Large and Small Language Models, by Tao Fan et al.
FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Modelsby Tao Fan, Guoqiang Ma,…
Summary of Code: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models, by Junho Kim et al.
CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Modelsby Junho Kim, Hyunjun Kim,…