Summary of Embedding-informed Adaptive Retrieval-augmented Generation Of Large Language Models, by Chengkai Huang et al.
Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Modelsby Chengkai Huang, Yu Xia, Rui Wang, Kaige…
Summary of Shroom-indelab at Semeval-2024 Task 6: Zero- and Few-shot Llm-based Classification For Hallucination Detection, by Bradley P. Allen and Fina Polat and Paul Groth
SHROOM-INDElab at SemEval-2024 Task 6: Zero- and Few-Shot LLM-Based Classification for Hallucination Detectionby Bradley P.…
Summary of On Few-shot Prompting For Controllable Question-answer Generation in Narrative Comprehension, by Bernardo Leite and Henrique Lopes Cardoso
On Few-Shot Prompting for Controllable Question-Answer Generation in Narrative Comprehensionby Bernardo Leite, Henrique Lopes CardosoFirst…
Summary of Nlp at Uc Santa Cruz at Semeval-2024 Task 5: Legal Answer Validation Using Few-shot Multi-choice Qa, by Anish Pahilajani et al.
NLP at UC Santa Cruz at SemEval-2024 Task 5: Legal Answer Validation using Few-Shot Multi-Choice…
Summary of Prompting For Numerical Sequences: a Case Study on Market Comment Generation, by Masayuki Kawarada et al.
Prompting for Numerical Sequences: A Case Study on Market Comment Generationby Masayuki Kawarada, Tatsuya Ishigaki,…
Summary of Pejorativity: Disambiguating Pejorative Epithets to Improve Misogyny Detection in Italian Tweets, by Arianna Muti et al.
PejorativITy: Disambiguating Pejorative Epithets to Improve Misogyny Detection in Italian Tweetsby Arianna Muti, Federico Ruggeri,…
Summary of Classifying Cancer Stage with Open-source Clinical Large Language Models, by Chia-hsuan Chang et al.
Classifying Cancer Stage with Open-Source Clinical Large Language Modelsby Chia-Hsuan Chang, Mary M. Lucas, Grace…
Summary of Medical Visual Prompting (mvp): a Unified Framework For Versatile and High-quality Medical Image Segmentation, by Yulin Chen et al.
Medical Visual Prompting (MVP): A Unified Framework for Versatile and High-Quality Medical Image Segmentationby Yulin…
Summary of Isobench: Benchmarking Multimodal Foundation Models on Isomorphic Representations, by Deqing Fu et al.
IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representationsby Deqing Fu, Ruohao Guo, Ghazal Khalighinejad, Ollie…
Summary of Self-demos: Eliciting Out-of-demonstration Generalizability in Large Language Models, by Wei He et al.
Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Modelsby Wei He, Shichun Liu, Jun Zhao, Yiwen…