Summary of Evaluating the Translation Performance Of Large Language Models Based on Euas-20, by Yan Huang et al.
Evaluating the Translation Performance of Large Language Models Based on Euas-20by Yan Huang, Wei LiuFirst…
Summary of Direct: Diagnostic Reasoning For Clinical Notes Via Large Language Models, by Bowen Wang et al.
DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Modelsby Bowen Wang, Jiuyang Chang, Yiming…
Summary of Ml-eat: a Multilevel Embedding Association Test For Interpretable and Transparent Social Science, by Robert Wolfe et al.
ML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social Scienceby Robert Wolfe, Alexis…
Summary of High-throughput Phenotyping Of Clinical Text Using Large Language Models, by Daniel B. Hier et al.
High-Throughput Phenotyping of Clinical Text Using Large Language Modelsby Daniel B. Hier, S. Ilyas Munzir,…
Summary of A New Approach For Encoding Code and Assisting Code Understanding, by Mengdan Fan et al.
A new approach for encoding code and assisting code understandingby Mengdan Fan, Wei Zhang, Haiyan…
Summary of Non Verbis, Sed Rebus: Large Language Models Are Weak Solvers Of Italian Rebuses, by Gabriele Sarti et al.
Non Verbis, Sed Rebus: Large Language Models are Weak Solvers of Italian Rebusesby Gabriele Sarti,…
Summary of Closing the Gap Between Open-source and Commercial Large Language Models For Medical Evidence Summarization, by Gongbo Zhang et al.
Closing the gap between open-source and commercial large language models for medical evidence summarizationby Gongbo…
Summary of Mm-vet V2: a Challenging Benchmark to Evaluate Large Multimodal Models For Integrated Capabilities, by Weihao Yu et al.
MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilitiesby Weihao Yu,…
Summary of Granting Gpt-4 License and Opportunity: Enhancing Accuracy and Confidence Estimation For Few-shot Event Detection, by Steven Fincke et al.
Granting GPT-4 License and Opportunity: Enhancing Accuracy and Confidence Estimation for Few-Shot Event Detectionby Steven…
Summary of Improving Faithfulness Of Large Language Models in Summarization Via Sliding Generation and Self-consistency, by Taiji Li et al.
Improving Faithfulness of Large Language Models in Summarization via Sliding Generation and Self-Consistencyby Taiji Li,…