Summary of Nl2plan: Robust Llm-driven Planning From Minimal Text Descriptions, by Elliot Gestrin et al.
NL2Plan: Robust LLM-Driven Planning from Minimal Text Descriptionsby Elliot Gestrin, Marco Kuhlmann, Jendrik SeippFirst submitted…
Summary of Can Large Language Models Make the Grade? An Empirical Study Evaluating Llms Ability to Mark Short Answer Questions in K-12 Education, by Owen Henkel et al.
Can Large Language Models Make the Grade? An Empirical Study Evaluating LLMs Ability to Mark…
Summary of Aloe: a Family Of Fine-tuned Open Healthcare Llms, by Ashwin Kumar Gururajan et al.
Aloe: A Family of Fine-tuned Open Healthcare LLMsby Ashwin Kumar Gururajan, Enrique Lopez-Cuena, Jordi Bayarri-Planas,…
Summary of Controllable Text Generation in the Instruction-tuning Era, by Dhananjay Ashok et al.
Controllable Text Generation in the Instruction-Tuning Eraby Dhananjay Ashok, Barnabas PoczosFirst submitted to arxiv on:…
Summary of Leveraging Prompt-learning For Structured Information Extraction From Crohn’s Disease Radiology Reports in a Low-resource Language, by Liam Hazan et al.
Leveraging Prompt-Learning for Structured Information Extraction from Crohn’s Disease Radiology Reports in a Low-Resource Languageby…
Summary of Unigen: Universal Domain Generalization For Sentiment Classification Via Zero-shot Dataset Generation, by Juhwan Choi et al.
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generationby Juhwan Choi, Yeonghwa Kim,…
Summary of Can’t Say Cant? Measuring and Reasoning Of Dark Jargons in Large Language Models, by Xu Ji et al.
Can’t say cant? Measuring and Reasoning of Dark Jargons in Large Language Modelsby Xu Ji,…
Summary of Vimts: a Unified Video and Image Text Spotter For Enhancing the Cross-domain Generalization, by Yuliang Liu et al.
VimTS: A Unified Video and Image Text Spotter for Enhancing the Cross-domain Generalizationby Yuliang Liu,…
Summary of Uncovering What, Why and How: a Comprehensive Benchmark For Causation Understanding Of Video Anomaly, by Hang Du et al.
Uncovering What, Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomalyby Hang…
Summary of Detection Of Conspiracy Theories Beyond Keyword Bias in German-language Telegram Using Large Language Models, by Milena Pustet et al.
Detection of Conspiracy Theories Beyond Keyword Bias in German-Language Telegram Using Large Language Modelsby Milena…