Summary of Benchmarking Cognitive Domains For Llms: Insights From Taiwanese Hakka Culture, by Chen-chi Chang et al.
Benchmarking Cognitive Domains for LLMs: Insights from Taiwanese Hakka Cultureby Chen-Chi Chang, Ching-Yuan Chen, Hung-Shin…
Summary of Genai-powered Multi-agent Paradigm For Smart Urban Mobility: Opportunities and Challenges For Integrating Large Language Models (llms) and Retrieval-augmented Generation (rag) with Intelligent Transportation Systems, by Haowen Xu et al.
GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility: Opportunities and Challenges for Integrating Large Language Models…
Summary of Evaluating Chatgpt on Nuclear Domain-specific Data, by Muhammad Anwar et al.
Evaluating ChatGPT on Nuclear Domain-Specific Databy Muhammad Anwar, Mischa de Costa, Issam Hammad, Daniel LauFirst…
Summary of Lrp4rag: Detecting Hallucinations in Retrieval-augmented Generation Via Layer-wise Relevance Propagation, by Haichuan Hu et al.
LRP4RAG: Detecting Hallucinations in Retrieval-Augmented Generation via Layer-wise Relevance Propagationby Haichuan Hu, Yuhan Sun, Quanjun…
Summary of Probing Causality Manipulation Of Large Language Models, by Chenyang Zhang et al.
Probing Causality Manipulation of Large Language Modelsby Chenyang Zhang, Haibo Tong, Bin Zhang, Dongyu ZhangFirst…
Summary of Evidence-backed Fact Checking Using Rag and Few-shot In-context Learning with Llms, by Ronit Singhal et al.
Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMsby Ronit Singhal, Pransh Patwa,…
Summary of Xinyu: An Efficient Llm-based System For Commentary Generation, by Yiquan Wu et al.
Xinyu: An Efficient LLM-based System for Commentary Generationby Yiquan Wu, Bo Tang, Chenyang Xi, Yu…
Summary of Legalbench-rag: a Benchmark For Retrieval-augmented Generation in the Legal Domain, by Nicholas Pipitone et al.
LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domainby Nicholas Pipitone, Ghita Houir AlamiFirst…
Summary of Graph Retrieval-augmented Generation: a Survey, by Boci Peng et al.
Graph Retrieval-Augmented Generation: A Surveyby Boci Peng, Yun Zhu, Yongchao Liu, Xiaohe Bo, Haizhou Shi,…
Summary of Ragchecker: a Fine-grained Framework For Diagnosing Retrieval-augmented Generation, by Dongyu Ru et al.
RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generationby Dongyu Ru, Lin Qiu, Xiangkun Hu, Tianhang…