T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering;Lei Wang et al Tree of Thoughts: Deliberate Problem Solving with Large Language Models;Shunyu Yao et al Introspective Tips: Large Language Model for In-Context Decision Making;Liting...
It addresses challenges in OCR, grounding, and GUI knowledge, enhancing the models' capabilities in GUI navigation tasks. GUI-WORLD: A Dataset for GUI-oriented Multimodal LLM-based Agents Dongping Chen, Yue Huang, Siyuan Wu, Jingyu Tang, Liuyi Chen, Yilin Bai, Zhigang He, Chenlong Wang, ...
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(2): Previous studies have mainly investigated early tweets and used social science methods, while this paper applies natural language processing techniques to analyze sentiment and topics discussed on Twitter. The approach is well motivated as it provides a more fine-grained analysis of public attitu...
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The document collection was a subset of the TREC collection, and as test requests the study used TREC's health related topics. The test system was the INQUERY retrieval system. The performance of translated Finnish queries against English documents was compared to the performance of original ...
V. Morariu, L. Davis -- Dept. of Computer Science University of Maryland, USA A. Gupta -- Robotics Institute, Carnegie Mellon University, USA I. Haritaoglu -- Polar Rain Inc., Menlo Park, USA S. Guler, A. Morde -- IntuVision Inc, MA, USA ...
computer technology - Chemical Industry - Light industry,handicrafts - Building Science - Hydraulic Engineering">Theory of industrial technology - Technology Status and Development - Organizations, groups,conference - Reference Books - Industrial economy - General industrial technology - Mining Engineering -...
Cognitive Science in the era of Artificial Intelligence: A roadmap for reverse-engineering the infant language-learner [arXiv] Recurrent Neural Machine Translation [arXiv] MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition [arXiv] Layer Normalization [arXiv] Neural Machine Tran...
Utilizing webpage UI structures as a training resource, MultiUI provides robust accessibility tree data paired with UI screenshots, significantly improving MLLMs’ grounding, OCR, and interaction performance. Models trained with MultiUI achieve up to a 48% performance boost on VisualWebBench and ...