Summary of Don’t Stop Me Now: Embedding Based Scheduling For Llms, by Rana Shahout et al.
Don’t Stop Me Now: Embedding Based Scheduling for LLMsby Rana Shahout, Eran Malach, Chunwei Liu,…
Summary of A Knowledge-informed Large Language Model Framework For U.s. Nuclear Power Plant Shutdown Initiating Event Classification For Probabilistic Risk Assessment, by Min Xian et al.
A Knowledge-Informed Large Language Model Framework for U.S. Nuclear Power Plant Shutdown Initiating Event Classification…
Summary of Autotm 2.0: Automatic Topic Modeling Framework For Documents Analysis, by Maria Khodorchenko and Nikolay Butakov and Maxim Zuev and Denis Nasonov
AutoTM 2.0: Automatic Topic Modeling Framework for Documents Analysisby Maria Khodorchenko, Nikolay Butakov, Maxim Zuev,…
Summary of “show Me What’s Wrong!”: Combining Charts and Text to Guide Data Analysis, by Beatriz Feliciano et al.
“Show Me What’s Wrong!”: Combining Charts and Text to Guide Data Analysisby Beatriz Feliciano, Rita…
Summary of Dopamine: Domain-specific Pre-training Adaptation From Seed-guided Data Mining, by Vinayak Arannil et al.
DoPAMine: Domain-specific Pre-training Adaptation from seed-guided data Miningby Vinayak Arannil, Neha Narwal, Sourav Sanjukta Bhabesh,…
Summary of Efficient and Personalized Mobile Health Event Prediction Via Small Language Models, by Xin Wang et al.
Efficient and Personalized Mobile Health Event Prediction via Small Language Modelsby Xin Wang, Ting Dang,…
Summary of Data-prep-kit: Getting Your Data Ready For Llm Application Development, by David Wood et al.
Data-Prep-Kit: getting your data ready for LLM application developmentby David Wood, Boris Lublinsky, Alexy Roytman,…
Summary of Haloscope: Harnessing Unlabeled Llm Generations For Hallucination Detection, by Xuefeng Du et al.
HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detectionby Xuefeng Du, Chaowei Xiao, Yixuan LiFirst submitted…
Summary of Discovering the Gems in Early Layers: Accelerating Long-context Llms with 1000x Input Token Reduction, by Zhenmei Shi et al.
Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reductionby Zhenmei…
Summary of Babyllama-2: Ensemble-distilled Models Consistently Outperform Teachers with Limited Data, by Jean-loup Tastet et al.
BabyLlama-2: Ensemble-Distilled Models Consistently Outperform Teachers With Limited Databy Jean-Loup Tastet, Inar TimiryasovFirst submitted to…