Performance Evaluation of LLMs with Deep Learning Models for Fake News Detectiondoi:10.1007/978-981-97-6103-6_39Concerns about the integrity of information distribution have grown significantly as a result of the prevalence of fake news on social media and digital platforms. This study presents a...
we usedLlama 3 from HuggingFace/Transformers. There are four layers of Llama 3 (also for most LLMs) that need to be modified:LlamaAttention,LlamaMLP,LlamaDecoderLayer, andLlamaModel. Functions and modules that can be optimized are:
One thing we had to deal with was that Perplexity had very low rate limits. We were therefore only able to complete an “apples to apples” comparison with a 15 second pause between rounds. Any less than that and we would start to get exceptions from Perplexity. We labeled this as 0.5 ...
Table 1: A performance comparison between gold references and outputs from advanced translation models, as assessed by two 10B-size reference-free evaluation models with the highest correlation to human preferences. The results indicate that the average performance of these strong translation models can...
LLM indicates large language model. Table. Performance of LLMs and Question Bank Users by Question Type and Topic View LargeDownload Supplement 1. eTable 1. Performance of LLM 1 and LLM 2 on the EBN Question Samples Cohort eTable 2. Comparison of LLM 1, LLM 2, and Question Bank Users ...
Download theDicta calibration datasetconsisting of a mix of Hebrew and English tokens. This will significantly improve INT4 accuracy, in comparison to using a default English calibration dataset. git clone https://huggingface.co/datasets/dicta-il/dictalm2.0-quant-calib-dataset ...
UC Berkeley Researchers Introduce LLMCompiler: An LLM Compiler that Optimizes the Parallel Function Calling Performance of LLMs
Promoting open data sharing: Currently, most studies rely on proprietary datasets, leading to inconsistencies in algorithm design and comparison. Additionally, there are few open-source datasets for IAs recognition, while high-quality public datasets are crucial as they enhance the credibility and replic...
Figure 1 illustrates the comparison of percentage of marks obtained in MBE* by different GPT models: *The Multistate Bar Exam (MBE) is a challenging battery of tests designed to evaluate an applicant’s legal knowledge and skills, and is a precondition to practice law in the US. ...
Previous studies have demonstrated the ability of LLMs such as ChatGPT and GPT-4 to successfully pass the USMLE, with significantly better performance of GPT4. ChatGPT was shown to have 41–65% accuracy across Step1, Step2CK, and Step3 questions14,15, whereas GPT4 had an average score of...