Summary of Lb-kbqa: Large-language-model and Bert Based Knowledge-based Question and Answering System, by Yan Zhao et al.
LB-KBQA: Large-language-model and BERT based Knowledge-Based Question and Answering Systemby Yan Zhao, Zhongyun Li, Yushan…
Summary of Cadren: Contextual Anchor-driven Relational Network For Controllable Cross-graphs Node Importance Estimation, by Zijie Zhong et al.
CADReN: Contextual Anchor-Driven Relational Network for Controllable Cross-Graphs Node Importance Estimationby Zijie Zhong, Yunhui Zhang,…
Summary of The Effect Of Sampling Temperature on Problem Solving in Large Language Models, by Matthew Renze and Erhan Guven
The Effect of Sampling Temperature on Problem Solving in Large Language Modelsby Matthew Renze, Erhan…
Summary of Scemqa: a Scientific College Entrance Level Multimodal Question Answering Benchmark, by Zhenwen Liang et al.
SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmarkby Zhenwen Liang, Kehan Guo, Gang…
Summary of Cic: a Framework For Culturally-aware Image Captioning, by Youngsik Yun and Jihie Kim
CIC: A Framework for Culturally-Aware Image Captioningby Youngsik Yun, Jihie KimFirst submitted to arxiv on:…
Summary of In-context Principle Learning From Mistakes, by Tianjun Zhang et al.
In-Context Principle Learning from Mistakesby Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra,…
Summary of It’s Never Too Late: Fusing Acoustic Information Into Large Language Models For Automatic Speech Recognition, by Chen Chen et al.
It’s Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognitionby…
Summary of Rapid Optimization For Jailbreaking Llms Via Subconscious Exploitation and Echopraxia, by Guangyu Shen et al.
Rapid Optimization for Jailbreaking LLMs via Subconscious Exploitation and Echopraxiaby Guangyu Shen, Siyuan Cheng, Kaiyuan…
Summary of Gpts Are Multilingual Annotators For Sequence Generation Tasks, by Juhwan Choi et al.
GPTs Are Multilingual Annotators for Sequence Generation Tasksby Juhwan Choi, Eunju Lee, Kyohoon Jin, YoungBin…
Summary of Noisyicl: a Little Noise in Model Parameters Calibrates In-context Learning, by Yufeng Zhao et al.
NoisyICL: A Little Noise in Model Parameters Calibrates In-context Learningby Yufeng Zhao, Yoshihiro Sakai, Naoya…