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Tool-using agents that act in the world need to be both useful and safe. Well-calibrated model confidences can be used to weigh the risk versus reward of potential actions, but prior work shows that many models are poorly calibrated.…

计算与语言 · 计算机科学 2025-04-30 Nishant Subramani , Jason Eisner , Justin Svegliato , Benjamin Van Durme , Yu Su , Sam Thomson

The potential risk of AI systems unintentionally embedding and reproducing bias has attracted the attention of machine learning practitioners and society at large. As policy makers are willing to set the standards of algorithms and AI…

人工智能 · 计算机科学 2020-03-17 Boris Ruf , Chaouki Boutharouite , Marcin Detyniecki

OpenAI's ChatGPT initiated a wave of technical iterations in the space of Large Language Models (LLMs) by demonstrating the capability and disruptive power of LLMs. OpenAI has prompted large organizations to respond with their own…

社会与信息网络 · 计算机科学 2024-05-20 Benjamin Zi Hao Zhao , Muhammad Ikram , Mohamed Ali Kaafar

People are increasingly turning to generative AI (e.g., ChatGPT, Gemini, Copilot) for emotional support and companionship. While trust is likely to play a central role in enabling these informal and unsupervised interactions, we still lack…

人机交互 · 计算机科学 2026-01-26 Riccardo Volpato , Simone Stumpf , Lisa DeBruine

Machine learning-based automatic scoring faces challenges with unbalanced student responses across scoring categories. To address this, we introduce a novel text data augmentation framework leveraging GPT-4, a generative large language…

计算与语言 · 计算机科学 2024-09-09 Luyang Fang , Gyeong-Geon Lee , Xiaoming Zhai

The development of general-purpose agents requires a shift from executing simple instructions to completing complex, real-world productivity workflows. However, current tool-use benchmarks remain misaligned with real-world requirements,…

计算与语言 · 计算机科学 2026-04-20 Jize Wang , Xuanxuan Liu , Yining Li , Songyang Zhang , Yijun Wang , Zifei Shan , Xinyi Le , Cailian Chen , Xinping Guan , Dacheng Tao

Timely formative feedback is considered as one of the most important drivers for effective learning. Delivering timely and individualized feedback is particularly challenging in large classes in higher education. Recently Large Language…

计算机与社会 · 计算机科学 2023-12-15 Imen Azaiz , Oliver Deckarm , Sven Strickroth

This study explores the robustness of university assessments against the use of Open AI's Generative Pre-Trained Transformer 4 (GPT-4) generated content and evaluates the ability of academic staff to detect its use when supported by the…

计算机与社会 · 计算机科学 2023-11-02 Mike Perkins , Jasper Roe , Darius Postma , James McGaughran , Don Hickerson

This work demonstrates that natural language transformers can support more generic strategic modeling, particularly for text-archived games. In addition to learning natural language skills, the abstract transformer architecture can generate…

人工智能 · 计算机科学 2020-09-21 David Noever , Matt Ciolino , Josh Kalin

We show how to derive state-of-the-art unsupervised neural machine translation systems from generatively pre-trained language models. Our method consists of three steps: few-shot amplification, distillation, and backtranslation. We first…

Context. The rise of generative AI (GenAI) tools like ChatGPT and GitHub Copilot has transformed how software is learned and written. In software engineering (SE) education, these tools offer new opportunities for support, but also raise…

软件工程 · 计算机科学 2025-12-05 Qiaolin Qin , Ronnie de Souza Santos , Rodrigo Spinola

Gender bias in machine translation (MT) systems has been extensively documented, but bias in automatic quality estimation (QE) metrics remains comparatively underexplored. Existing studies suggest that QE metrics can also exhibit gender…

The authors of this study aim to assess the capabilities of the OpenAI ChatGPT tool to understand just how effective such a system might be for students to utilize in their studies as well as deepen understanding of faculty/staff and…

人机交互 · 计算机科学 2024-08-31 Lance White , Trini Balart , Sara Amani , Kristi J. Shryock , Karan L. Watson

Collaborative assistants, or chatbots, are data-driven decision support systems that enable natural interaction for task completion. While they can meet critical needs in modern society, concerns about their reliability and trustworthiness…

计算与语言 · 计算机科学 2025-04-16 Biplav Srivastava , Kausik Lakkaraju , Nitin Gupta , Vansh Nagpal , Bharath C. Muppasani , Sara E. Jones

Reproducing an empirical NLP study used to take weeks. Given the released data and a modern agentic-research harness, we redo every experiment of a recent ACL\,2026 study on personal-style post-editing of LLM drafts -- and add three new…

计算与语言 · 计算机科学 2026-05-05 Andreas Maier , Moritz Zaiss , Siming Bayer

High-quality instruction data is critical for aligning large language models (LLMs). Although some models, such as Llama-3-Instruct, have open weights, their alignment data remain private, which hinders the democratization of AI. High human…

计算与语言 · 计算机科学 2024-10-08 Zhangchen Xu , Fengqing Jiang , Luyao Niu , Yuntian Deng , Radha Poovendran , Yejin Choi , Bill Yuchen Lin

Sudden access to the rapidly improving large language model GPT by open-ai forces educational institutions worldwide to revisit their exam procedures. In the pre-GPT era, we successfully applied oral and open-book home exams for two courses…

计算机与社会 · 计算机科学 2023-05-04 Felix Dobslaw , Peter Bergh

There are obvious benefits to integrating generative AI (artificial intelligence) into language learning and teaching. Those include using AI as a language tutor, creating learning materials, or assessing learner output. However, due to how…

计算与语言 · 计算机科学 2024-10-21 Robert Godwin-Jones`

Large language models, pivotal in artificial intelligence, find diverse applications. ChatGPT (Chat Generative Pre-trained Transformer), an OpenAI creation, stands out as a widely adopted, powerful tool. It excels in chatbots, content…

计算与语言 · 计算机科学 2025-05-28 Walid Hariri

This study evaluates the productivity improvements achieved using a generative artificial intelligence personal assistant tool (PAT) developed by Trane Technologies. The PAT, based on OpenAI's GPT 3.5 model, was deployed on Microsoft Azure…

人机交互 · 计算机科学 2024-10-01 Brian S. Freeman , Kendall Arriola , Dan Cottell , Emmett Lawlor , Matt Erdman , Trevor Sutherland , Brian Wells