Spatiotemporal Dynamics of Activation in Motor and Language Areas Suggest a Compensatory Role of the Motor Cortex in Second Language Processing by Lili Tian, Hongjun Chen, Pyry Petteri Heikkinen, Wenya Liu, Tiina Parviainen

“… AbstractThe involvement of the motor cortex in language understanding has been intensively discussed in the framework of embodied cognition. …”
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A Modular Vision Language Navigation and Manipulation Framework for Long Horizon Compositional Tasks in Indoor Environment by Homagni Saha, Homagni Saha, Fateme Fotouhi, Fateme Fotouhi, Qisai Liu, Soumik Sarkar, Soumik Sarkar

“…Specifically, we propose a novel geometry-aware mapping technique for cluttered indoor environments, and a language understanding model generalized for household instruction following. …”
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Effective digital support for autism: digital social stories by Louis John Camilleri, Katie Maras, Mark Brosnan

“…Age range (≤15), gender, autism diagnosis, and the child’s level of language understanding were the potential predictors for these three key variables. …”
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Taţwîr Mãddatin Nahwi al ‘Arabî min Khilãli an Nushûsh al Qur’ãnîyah Litarqiyati Mahãrõtil I’rõb ladã Thullãbi Ma’had al Aîmah al ‘Ãlî al Islãmî bi Malang... by Ahmed Mohamed Eltoukhi, Badruzzaman M. Yunus, Izzuddin Musthafa, Uril Bahruddin

“…Finally, the Arabic Nahwu materials development through the Qur'anic texts achieved the outstanding results obtained by students through the application of the developed materials, namely: improvement of I'rab skills, ease of memorizing the Qur'an, and language understanding.…”
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ATICVis: A Visual Analytics System for Asymmetric Transformer Models Interpretation and Comparison by Jian-Lin Wu, Pei-Chen Chang, Chao Wang, Ko-Chih Wang

“…In addition to quantitative indicators such as the basis for selecting models, many users also consider the language understanding ability of the model and the computing resources it requires. …”
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Visual Question Generation From Remote Sensing Images by Laila Bashmal, Yakoub Bazi, Farid Melgani, Riccardo Ricci, Mohamad M. Al Rahhal, Mansour Zuair

“…Visual question generation (VQG) is a fundamental task in vision-language understanding that aims to generate relevant questions about the given input image. …”
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Beyond Word-Based Model Embeddings: Contextualized Representations for Enhanced Social Media Spam Detection by Sawsan Alshattnawi, Amani Shatnawi, Anas M.R. AlSobeh, Aws A. Magableh

“…As emerging adversarial attacks exploit human vulnerabilities, advancing defense strategies through enhanced neural language understanding is imperative. We recommend that social media companies and academic researchers build on contextualized language models to strengthen social media security. …”
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CapERA: Captioning Events in Aerial Videos by Laila Bashmal, Yakoub Bazi, Mohamad Mahmoud Al Rahhal, Mansour Zuair, Farid Melgani

“…The newly proposed dataset aims to advance visual–language-understanding tasks for UAV videos by providing each video with diverse textual descriptions. …”
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A Survey on Large Language Model (LLM) Security and Privacy: The Good, The Bad, and The Ugly by Yifan Yao, Jinhao Duan, Kaidi Xu, Yuanfang Cai, Zhibo Sun, Yue Zhang

“…Large Language Models (LLMs), such as ChatGPT and Bard, have revolutionized natural language understanding and generation. They possess deep language comprehension, human-like text generation capabilities, contextual awareness, and robust problem-solving skills, making them invaluable in various domains (e.g., search engines, customer support, translation). …”
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Chat2VIS: Generating Data Visualizations via Natural Language Using ChatGPT, Codex and GPT-3 Large Language Models by Paula Maddigan, Teo Susnjak

“…This paper presents a novel system, Chat2VIS, which takes advantage of the capabilities of LLMs and demonstrates how, with effective prompt engineering, the complex problem of language understanding can be solved more efficiently, resulting in simpler and more accurate end-to-end solutions than prior approaches. …”
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A natural language planner interface for mobile manipulators by Tellex, Stefanie, Howard, Thomas M., Roy, Nicholas

“…We present experimental results from comparative experiments that demonstrate improvements in efficiency in natural language understanding without loss of accuracy.…”
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A Flexible Framework for Relation Extraction in Multiple Domains by Chauhan, Geeticka.

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Multimodal estimation and communication of latent semantic knowledge for robust execution of robot instructions by Arkin, Jacob, Park, Daehyung, Roy, Subhro, Walter, Matthew R, Roy, Nicholas, Howard, Thomas M, Paul, Rohan

“…Finally, we propose an efficient framework that anticipates possible linguistic interactions and infers the associated groundings for the current world state, thereby bootstrapping both language understanding and generation. We present experiments on manipulators for tasks that require inference over partially observed semantic properties, and evaluate our framework’s ability to exploit expressed information and knowledge bases to facilitate convergence, and generate statements to correct declared facts that were observed to be inconsistent with the robot’s estimate of object properties.…”
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Synthesizing controversial sentences for testing the brain-predictivity of language models by Rakocevic, Lara I.

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A Graph Neural Network Approach for Product Relationship Prediction by Ahmed, Faez, Cui, Yaxin, Fu, Yan, Chen, Wei

“…<jats:title>Abstract</jats:title> <jats:p>Graph representation learning has revolutionized many artificial intelligence and machine learning tasks in recent years, ranging from combinatorial optimization, drug discovery, recommendation systems, image classification, social network analysis to natural language understanding. This paper shows their efficacy in modeling relationships between products and making predictions for unseen product networks. …”
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CreativeGAN: Editing Generative Adversarial Networks for Creative Design Synthesis by Heyrani Nobari, Amin, Rashad, Muhammad Fathy, Ahmed, Faez

“…<jats:title>Abstract</jats:title> <jats:p>Modern machine learning techniques, such as deep neural networks, are transforming many disciplines ranging from image recognition to language understanding, by uncovering patterns in big data and making accurate predictions. …”
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Multi-level models of language comprehension in the mind and brain by Gauthier, Jon

“…What are the mental and neural representations that drive language understanding and acquisition? This thesis presents a two-part suite of methods for addressing these questions, rooted in the idea that representational claims must jointly assert a content — what a mental representation is about — but also a computational role — why it is there, and what concrete function it serves in bringing about language behavior. …”
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Combining linguistics and statistics for high-quality limited domain English-Chinese machine translation by Xu, Yushi, Ph. D. Massachusetts Institute of Technology

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A computational model to connect gestalt perception and natural language by Dhande, Sheel Sanjay, 1979-

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Language technologies in speech-enabled second language learning games : from reading to dialogue by Xu, Yushi, Ph. D. Massachusetts Institute of Technology

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