Summary of Position: What Can Large Language Models Tell Us About Time Series Analysis, by Ming Jin et al.
Position: What Can Large Language Models Tell Us about Time Series Analysisby Ming Jin, Yifan…
Summary of Towards Optimizing the Costs Of Llm Usage, by Shivanshu Shekhar et al.
Towards Optimizing the Costs of LLM Usageby Shivanshu Shekhar, Tanishq Dubey, Koyel Mukherjee, Apoorv Saxena,…
Summary of Hiqa: a Hierarchical Contextual Augmentation Rag For Multi-documents Qa, by Xinyue Chen et al.
HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QAby Xinyue Chen, Pengyu Gao, Jiangjiang Song,…
Summary of Efficient Prompt Caching Via Embedding Similarity, by Hanlin Zhu et al.
Efficient Prompt Caching via Embedding Similarityby Hanlin Zhu, Banghua Zhu, Jiantao JiaoFirst submitted to arxiv…
Summary of Raptor: Recursive Abstractive Processing For Tree-organized Retrieval, by Parth Sarthi et al.
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrievalby Parth Sarthi, Salman Abdullah, Aditi Tuli, Shubh Khanna,…
Summary of Genie: Achieving Human Parity in Content-grounded Datasets Generation, by Asaf Yehudai et al.
Genie: Achieving Human Parity in Content-Grounded Datasets Generationby Asaf Yehudai, Boaz Carmeli, Yosi Mass, Ofir…
Summary of Towards Consistent Natural-language Explanations Via Explanation-consistency Finetuning, by Yanda Chen et al.
Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuningby Yanda Chen, Chandan Singh, Xiaodong Liu, Simiao Zuo,…
Summary of Spatialvlm: Endowing Vision-language Models with Spatial Reasoning Capabilities, by Boyuan Chen et al.
SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilitiesby Boyuan Chen, Zhuo Xu, Sean Kirmani, Brian…
Summary of Chatqa: Surpassing Gpt-4 on Conversational Qa and Rag, by Zihan Liu et al.
ChatQA: Surpassing GPT-4 on Conversational QA and RAGby Zihan Liu, Wei Ping, Rajarshi Roy, Peng…
Summary of Machine Translation with Large Language Models: Prompt Engineering For Persian, English, and Russian Directions, by Nooshin Pourkamali et al.
Machine Translation with Large Language Models: Prompt Engineering for Persian, English, and Russian Directionsby Nooshin…