mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large Language Model; Anwen Hu et al Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models; Haoning Wu et al SPHINX: THE JOINT MIXING OF WEIGHTS, TASKS, AND VISUAL EMBEDDINGS FOR MULTI-MODAL LARGE L...
In this paper, we present the results of a large cross-linguistic analysis of written language that we conducted to test the equi-complexity hypothesis which assumes that all languages are (in some sense) equally complex. We operationalized our key quantity of interest, prediction complexity \(F...
2024.09.19: The instruction-tuned Qwen2-VL-72B model and its quantized version [AWQ, GPTQ-Int4, GPTQ-Int8] are now available. We have also released the Qwen2-VL paper simultaneously. 2024.08.30: We have released the Qwen2-VL series. The 2B and 7B models are now available, and the...
They must focus on NLP methods for mental illness detection, including machine learning-based methods (in this paper, the machine learning methods refer to traditional feature engineering-based machine learning) and deep learning-based methods. We exclude review and data analysis papers. They must pr...
The paper provides some basic information about SLs, such as how are them structured into two types of features: the ones using hands and the remaining ones using other parts of the upper body. It also contains a review about the possible tasks related to SLs, the metrics used for the gen...
from the game’s vocabulary to fill in the blanks of the template, significantly reducing the action space and making the explore problem significantly more tractable. We’re presenting the paper, “Interactive Fiction Games: A Colossal Adventure,” a...
Also, he has worked in the review and editing of the Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper....
paper:DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model 本文是对DeepSeeek-V2研究报告的解读,重点对模型部分和预训练部分做了解读,其中由于该研究报告很多部分写的很精炼简单,额外对一些经典技术做了推导,将其作为扩充。
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PaLM-2 fromtheir tech report. Claude is from our own test script, see below about how to run it. The HumanEval results for LLaMA models, PaLM and StartCoder are fromHuggingFace report. Code-davinci-002's performance on HumanEval is fromCodeT5+ paper ...