Summary of Ask, and It Shall Be Given: on the Turing Completeness Of Prompting, by Ruizhong Qiu et al.
Ask, and it shall be given: On the Turing completeness of promptingby Ruizhong Qiu, Zhe…
Summary of Enriching Tabular Data with Contextual Llm Embeddings: a Comprehensive Ablation Study For Ensemble Classifiers, by Gjergji Kasneci and Enkelejda Kasneci
Enriching Tabular Data with Contextual LLM Embeddings: A Comprehensive Ablation Study for Ensemble Classifiersby Gjergji…
Summary of Enhancing Llm Evaluations: the Garbling Trick, by William F. Bradley
Enhancing LLM Evaluations: The Garbling Trickby William F. BradleyFirst submitted to arxiv on: 3 Nov…
Summary of Interacting Large Language Model Agents. Interpretable Models and Social Learning, by Adit Jain et al.
Interacting Large Language Model Agents. Interpretable Models and Social Learningby Adit Jain, Vikram KrishnamurthyFirst submitted…
Summary of Llamo: Large Language Model-based Molecular Graph Assistant, by Jinyoung Park et al.
LLaMo: Large Language Model-based Molecular Graph Assistantby Jinyoung Park, Minseong Bae, Dohwan Ko, Hyunwoo J.…
Summary of A Theoretical Perspective For Speculative Decoding Algorithm, by Ming Yin et al.
A Theoretical Perspective for Speculative Decoding Algorithmby Ming Yin, Minshuo Chen, Kaixuan Huang, Mengdi WangFirst…
Summary of Ef-llm: Energy Forecasting Llm with Ai-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection, by Zihang Qiu et al.
EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detectionby Zihang Qiu, Chaojie…
Summary of Improving Few-shot Cross-domain Named Entity Recognition by Instruction Tuning a Word-embedding Based Retrieval Augmented Large Language Model, By Subhadip Nandi and Neeraj Agrawal
Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large…
Summary of Radflag: a Black-box Hallucination Detection Method For Medical Vision Language Models, by Serena Zhang et al.
RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Modelsby Serena Zhang, Sraavya Sambara,…
Summary of Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models, by Haritz Puerto et al.
Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Modelsby Haritz Puerto,…