Summary of Dynamicer: Resolving Emerging Mentions to Dynamic Entities For Rag, by Jinyoung Kim et al.
DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAGby Jinyoung Kim, Dayoon Ko, Gunhee KimFirst…
Summary of Beyond-rag: Question Identification and Answer Generation in Real-time Conversations, by Garima Agrawal et al.
Beyond-RAG: Question Identification and Answer Generation in Real-Time Conversationsby Garima Agrawal, Sashank Gummuluri, Cosimo SperaFirst…
Summary of Honest Ai: Fine-tuning “small” Language Models to Say “i Don’t Know”, and Reducing Hallucination in Rag, by Xinxi Chen et al.
Honest AI: Fine-Tuning “Small” Language Models to Say “I Don’t Know”, and Reducing Hallucination in…
Summary of Structrag: Boosting Knowledge Intensive Reasoning Of Llms Via Inference-time Hybrid Information Structurization, by Zhuoqun Li et al.
StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurizationby Zhuoqun Li, Xuanang…
Summary of Developing a Pragmatic Benchmark For Assessing Korean Legal Language Understanding in Large Language Models, by Yeeun Kim et al.
Developing a Pragmatic Benchmark for Assessing Korean Legal Language Understanding in Large Language Modelsby Yeeun…
Summary of Oretrieval Augmented Generation For 10 Large Language Models and Its Generalizability in Assessing Medical Fitness, by Yu He Ke et al.
oRetrieval Augmented Generation for 10 Large Language Models and its Generalizability in Assessing Medical Fitnessby…
Summary of Krag Framework For Enhancing Llms in the Legal Domain, by Nguyen Ha Thanh et al.
KRAG Framework for Enhancing LLMs in the Legal Domainby Nguyen Ha Thanh, Ken SatohFirst submitted…
Summary of Retrieving, Rethinking and Revising: the Chain-of-verification Can Improve Retrieval Augmented Generation, by Bolei He et al.
Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generationby Bolei He, Nuo Chen,…
Summary of Driving with Regulation: Interpretable Decision-making For Autonomous Vehicles with Retrieval-augmented Reasoning Via Llm, by Tianhui Cai et al.
Driving with Regulation: Interpretable Decision-Making for Autonomous Vehicles with Retrieval-Augmented Reasoning via LLMby Tianhui Cai,…
Summary of Mindscope: Exploring Cognitive Biases in Large Language Models Through Multi-agent Systems, by Zhentao Xie et al.
MindScope: Exploring cognitive biases in large language models through Multi-Agent Systemsby Zhentao Xie, Jiabao Zhao,…