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Rapid advances in language models (LMs) have created new opportunities for automated code generation while complicating trade-offs between model characteristics and prompt design choices. In this work, we provide an empirical map of recent…

Hardware Architecture · Computer Science 2026-04-14 Luca Collini , Andrew Hennesee , Patrick Yubeaton , Siddharth Garg , Ramesh Karri

Previous efforts to support creative problem-solving have included (a) techniques (such as brainstorming and design thinking) to stimulate creative ideas, and (b) software tools to record and share these ideas. Now, generative AI…

Driven by the rapid growth of machine learning, recent advances in game artificial intelligence (AI) have significantly impacted productivity across various gaming genres. Reward design plays a pivotal role in training game AI models,…

Artificial Intelligence · Computer Science 2024-06-19 In-Chang Baek , Tae-Hwa Park , Jin-Ha Noh , Cheong-Mok Bae , Kyung-Joong Kim

To retrieve and compare scientific data of simulations and experiments in materials science, data needs to be easily accessible and machine readable to qualify and quantify various materials science phenomena. The recent progress in open…

Materials Science · Physics 2025-03-25 Balduin Katzer , Steffen Klinder , Katrin Schulz

Recent significant advances in integrating multiple Large Language Model (LLM) systems have enabled Agentic Frameworks capable of performing complex tasks autonomously, including novel scientific research. We develop and demonstrate such a…

Artificial Intelligence · Computer Science 2025-07-16 Darui Lu , Jordan M. Malof , Willie J. Padilla

Metamaterials design for advanced functionality often entails the inverse design on nonlinear and condition-dependent responses (e.g., stress-strain relation and dispersion relation), which are described by continuous functions. Most…

Artificial Intelligence · Computer Science 2026-01-21 Bolin Chen , Dex Doksoo Lee , Wei "Wayne'' Chen , Wei Chen

A Chatbot serves as a communication tool between a human user and a machine to achieve an appropriate answer based on the human input. In more recent approaches, a combination of Natural Language Processing and sequential models are used to…

Computation and Language · Computer Science 2023-09-11 Nura Esfandiari , Kourosh Kiani , Razieh Rastgoo

Multimodal Large Language Models (MLLMs) combine the natural language understanding and generation capabilities of LLMs with perception skills in modalities such as image and audio, representing a key advancement in contemporary AI. This…

Natural language interfaces have exhibited considerable potential in the automation of Verilog generation derived from high-level specifications through the utilization of large language models, garnering significant attention.…

Hardware Architecture · Computer Science 2024-07-12 Kaiyan Chang , Zhirong Chen , Yunhao Zhou , Wenlong Zhu , kun wang , Haobo Xu , Cangyuan Li , Mengdi Wang , Shengwen Liang , Huawei Li , Yinhe Han , Ying Wang

ChatMOF is an autonomous Artificial Intelligence (AI) system that is built to predict and generate metal-organic frameworks (MOFs). By leveraging a large-scale language model (GPT-4 and GPT-3.5-turbo), ChatMOF extracts key details from…

Computation and Language · Computer Science 2023-08-28 Yeonghun Kang , Jihan Kim

This work presents an analytical framework for the design and analysis of LLM-based algorithms, i.e., algorithms that contain one or multiple calls of large language models (LLMs) as sub-routines and critically rely on the capabilities of…

Machine Learning · Computer Science 2025-10-14 Yanxi Chen , Yaliang Li , Bolin Ding , Jingren Zhou

We introduce ChatGarment, a novel approach that leverages large vision-language models (VLMs) to automate the estimation, generation, and editing of 3D garments from images or text descriptions. Unlike previous methods that struggle in…

Computer Vision and Pattern Recognition · Computer Science 2025-04-04 Siyuan Bian , Chenghao Xu , Yuliang Xiu , Artur Grigorev , Zhen Liu , Cewu Lu , Michael J. Black , Yao Feng

Generative AI is reshaping how software is designed, written, and maintained. Advances in large language models (LLMs) are enabling new development styles - from chat-oriented programming and 'vibe coding' to agentic programming - that can…

Software Engineering · Computer Science 2025-10-14 Vivek Acharya

Recently, large language models (LLMs) have been successfully applied to many fields, showing outstanding comprehension and reasoning capabilities. Despite their great potential, LLMs usually require dedicated pre-training and fine-tuning…

Networking and Internet Architecture · Computer Science 2024-12-31 Hao Zhou , Chengming Hu , Dun Yuan , Ye Yuan , Di Wu , Xi Chen , Hina Tabassum , Xue Liu

Large Language models (LLMs) have emerged as powerful tools for addressing challenges across diverse domains. Notably, recent studies have demonstrated that large language models significantly enhance the efficiency of biomolecular analysis…

Computation and Language · Computer Science 2025-03-07 Jiyue Jiang , Zikang Wang , Yuheng Shan , Heyan Chai , Jiayi Li , Zixian Ma , Xinrui Zhang , Yu Li

Generative models trained at scale can now produce text, video, and more recently, scientific data such as crystal structures. In applications of generative approaches to materials science, and in particular to crystal structures, the…

This paper assesses the potential for large language models (LLMs) to serve as assistive tools in the creative writing process, by means of a single, in-depth case study. In the course of the study, we develop interactive and multi-voice…

Computation and Language · Computer Science 2023-12-08 Murray Shanahan , Catherine Clarke

This paper assumes that design language plays an important role in how designers design and on the creativity of designers. Designers use and develop models as an aid to thinking, a focus for discussion and decision-making and a means of…

Artificial Intelligence · Computer Science 2020-07-16 Alain-Jérôme Fougères , Egon Ostrosi

Industrial robotics is characterized by sophisticated mechanical components and highly-developed real-time control algorithms. However, the efficient use of robotic systems is very much limited by existing proprietary programming methods.…

Robotics · Computer Science 2013-03-28 Andreas Angerer , Remi Smirra , Alwin Hoffmann , Andreas Schierl , Michael Vistein , Wolfgang Reif

From the pragmatic to the symbolic, textiles play a prominent role in some of the most demanding yet ubiquitous scenarios, such as covering the complex and dynamic geometries of the human body. Textiles are made by repeated manipulations of…

Soft Condensed Matter · Physics 2024-04-08 Lauren Dreier , Trevor J. Jones , Abigail Plummer , Andrej Košmrlj , P. -T. Brun
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