Hallucinations Evaluation:作者构造了两个数据集: FinTerms-MCQ和FinTerms-Gen。为了构建FinTerms-MCQ,论文使用FinRAD中的方法生成了一个包含金融术语及其定义的数据集,一共1129个金融术语。这个数据集评估基础金融状况,并研究基于检索的方法是否可以减少幻觉发生率。论文使用多选题方式构造题目和四个选项,这四个选项密切...
on every MultiMedQA multiple-choice dataset (MedQA3 , MedMCQA4 , PubMedQA5 and Measuring Massive Multitask Language Understanding (MMLU) clinical topics6 ), including 67.6% accuracy on MedQA (US Medical Licensing Exam-style questions), surpassing the prior state of the art by more than 17%...
framework's capacity to empower open-source models with fewer parameters for domain-specific questions. Furthermore, KG-RAG enhanced the performance of proprietary GPT models, such as GPT-3.5 which exhibited improvement over GPT-4 in context utilization on MCQ data. Our approach was also able to...
sh bash test_mcq.sh- Demonstration Format:Retrieve the dataset for this scenario from this github repo first and save them in the path /Demonstration_Format/bbh/${task}/xxx.json. Then, you can run inference and evaluation with the following:...
All of the LLMs scored between the 50th and 75th percentiles of students for MCQ and final exam questions. The performance of LLMs raises questions about student assessment in higher education, especially in courses that are knowledge-based and online....
Official repository for ICLR 2024 Spotlight paper "Large Language Models Are Not Robust Multiple Choice Selectors" - chujiezheng/LLM-MCQ-Bias
[07efc740d]: [GIE/engine] Bug fix; (#2250) (bmmcq) [5ea5b874a]: [GIE] Support parallel scan on ExpStore (#2253) (BingqingLyu) [432e65c89]: [GIE] Make the version of GIE compiler consistent with the default value in interactive engine pom (#2249) (shirly121) [2b7cf0050]: ...
Multiple Choice Questions (MCQ) True/False Questions The diverse nature of questions in this dataset, spanning multiple choice and true/false formats, along with its coverage of various biomedical concepts, makes it particularly suitable to support research and development in biomedical natural language...
Abbrs:MCQ: Multi-choice question;Y/N: Yes-or-No Questions;MTT: Benchmark with Multi-turn Conversations;MTI: Benchmark with Multi-Image as Inputs. DatasetDataset Names (for run.py)TaskDatasetDataset Names (for run.py)Task MMBench Series: ...
LaViLa's dual-encoder achieves excellent zero-shot performance on a wide range of egocentric benchmarks, outperforming previous state-of-the-art video-language pretraining methods by a large margin. BackboneEK-100 MIRavg. mAP^EK-100 MIRavg. nDCG^Charades-EgomAPEGTEA mean acc.EgoMCQintra-video...