Summary of Meta-prompting For Automating Zero-shot Visual Recognition with Llms, by M. Jehanzeb Mirza et al.
Meta-Prompting for Automating Zero-shot Visual Recognition with LLMsby M. Jehanzeb Mirza, Leonid Karlinsky, Wei Lin,…
Summary of Investigating the Performance Of Retrieval-augmented Generation and Fine-tuning For the Development Of Ai-driven Knowledge-based Systems, by Robert Lakatos et al.
Investigating the performance of Retrieval-Augmented Generation and fine-tuning for the development of AI-driven knowledge-based systemsby…
Summary of Logits Of Api-protected Llms Leak Proprietary Information, by Matthew Finlayson et al.
Logits of API-Protected LLMs Leak Proprietary Informationby Matthew Finlayson, Xiang Ren, Swabha SwayamdiptaFirst submitted to…
Summary of Sifid: Reassess Summary Factual Inconsistency Detection with Llm, by Jiuding Yang et al.
SIFiD: Reassess Summary Factual Inconsistency Detection with LLMby Jiuding Yang, Hui Liu, Weidong Guo, Zhuwei…
Summary of Autoeval Done Right: Using Synthetic Data For Model Evaluation, by Pierre Boyeau et al.
AutoEval Done Right: Using Synthetic Data for Model Evaluationby Pierre Boyeau, Anastasios N. Angelopoulos, Nir…
Summary of A Dataset and Benchmark For Hospital Course Summarization with Adapted Large Language Models, by Asad Aali et al.
A Dataset and Benchmark for Hospital Course Summarization with Adapted Large Language Modelsby Asad Aali,…
Summary of Unitable: Towards a Unified Framework For Table Recognition Via Self-supervised Pretraining, by Shengyun Peng et al.
UniTable: Towards a Unified Framework for Table Recognition via Self-Supervised Pretrainingby ShengYun Peng, Aishwarya Chakravarthy,…
Summary of Can’t Remember Details in Long Documents? You Need Some R&r, by Devanshu Agrawal et al.
Can’t Remember Details in Long Documents? You Need Some R&Rby Devanshu Agrawal, Shang Gao, Martin…
Summary of Llms in the Imaginarium: Tool Learning Through Simulated Trial and Error, by Boshi Wang et al.
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Errorby Boshi Wang, Hao Fang,…
Summary of Autodefense: Multi-agent Llm Defense Against Jailbreak Attacks, by Yifan Zeng et al.
AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacksby Yifan Zeng, Yiran Wu, Xiao Zhang, Huazheng Wang,…