Summary of Lspt: Long-term Spatial Prompt Tuning For Visual Representation Learning, by Shentong Mo et al.
LSPT: Long-term Spatial Prompt Tuning for Visual Representation Learningby Shentong Mo, Yansen Wang, Xufang Luo,…
Summary of Molecule Design by Latent Prompt Transformer, By Deqian Kong et al.
Molecule Design by Latent Prompt Transformerby Deqian Kong, Yuhao Huang, Jianwen Xie, Edouardo Honig, Ming…
Summary of Rainbow Teaming: Open-ended Generation Of Diverse Adversarial Prompts, by Mikayel Samvelyan et al.
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Promptsby Mikayel Samvelyan, Sharath Chandra Raparthy, Andrei Lupu,…
Summary of Language Agents As Optimizable Graphs, by Mingchen Zhuge et al.
Language Agents as Optimizable Graphsby Mingchen Zhuge, Wenyi Wang, Louis Kirsch, Francesco Faccio, Dmitrii Khizbullin,…
Summary of Decoding Intelligence: a Framework For Certifying Knowledge Comprehension in Llms, by Isha Chaudhary et al.
Decoding Intelligence: A Framework for Certifying Knowledge Comprehension in LLMsby Isha Chaudhary, Vedaant V. Jain,…
Summary of Prompt Perturbation Consistency Learning For Robust Language Models, by Yao Qiang et al.
Prompt Perturbation Consistency Learning for Robust Language Modelsby Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg…
Summary of Evaluating the Performance Of Chatgpt For Spam Email Detection, by Shijing Si et al.
Evaluating the Performance of ChatGPT for Spam Email Detectionby Shijing Si, Yuwei Wu, Le Tang,…
Summary of An Empirical Categorization Of Prompting Techniques For Large Language Models: a Practitioner’s Guide, by Oluwole Fagbohun et al.
An Empirical Categorization of Prompting Techniques for Large Language Models: A Practitioner’s Guideby Oluwole Fagbohun,…
Summary of What’s in a Name? Auditing Large Language Models For Race and Gender Bias, by Alejandro Salinas et al.
What’s in a Name? Auditing Large Language Models for Race and Gender Biasby Alejandro Salinas,…
Summary of Prompting a Pretrained Transformer Can Be a Universal Approximator, by Aleksandar Petrov et al.
Prompting a Pretrained Transformer Can Be a Universal Approximatorby Aleksandar Petrov, Philip H.S. Torr, Adel…