Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Hwang, Alyssa"'
Everyone aspires to achieve personal goals. However, getting started is often complex and daunting, especially for large projects. AI has the potential to create plans and help jumpstart progress, but it often lacks sufficient personal context to be
Externí odkaz:
http://arxiv.org/abs/2410.03882
Autor:
Dugan, Liam, Hwang, Alyssa, Trhlik, Filip, Ludan, Josh Magnus, Zhu, Andrew, Xu, Hainiu, Ippolito, Daphne, Callison-Burch, Chris
Many commercial and open-source models claim to detect machine-generated text with extremely high accuracy (99% or more). However, very few of these detectors are evaluated on shared benchmark datasets and even when they are, the datasets used for ev
Externí odkaz:
http://arxiv.org/abs/2405.07940
Programming assistants have reshaped the experience of programming into one where programmers spend less time writing and more time critically examining code. In this paper, we explore how programming assistants can be extended to accelerate the insp
Externí odkaz:
http://arxiv.org/abs/2403.02491
Autor:
Hwang, Alyssa, Dixit, Kalpit, Ballesteros, Miguel, Benajiba, Yassine, Castelli, Vittorio, Dreyer, Markus, Bansal, Mohit, McKeown, Kathleen
We present NewsQs (news-cues), a dataset that provides question-answer pairs for multiple news documents. To create NewsQs, we augment a traditional multi-document summarization dataset with questions automatically generated by a T5-Large model fine-
Externí odkaz:
http://arxiv.org/abs/2402.18479
One type of question that is commonly found in day-to-day scenarios is ``fan-out'' questions, complex multi-hop, multi-document reasoning questions that require finding information about a large number of entities. However, there exist few resources
Externí odkaz:
http://arxiv.org/abs/2402.14116
GPT-Vision has impressed us on a range of vision-language tasks, but it comes with the familiar new challenge: we have little idea of its capabilities and limitations. In our study, we formalize a process that many have instinctively been trying alre
Externí odkaz:
http://arxiv.org/abs/2311.02069
Language model applications are becoming increasingly popular and complex, often including features like tool usage and retrieval augmentation. However, existing frameworks for such applications are often opinionated, deciding for developers how thei
Externí odkaz:
http://arxiv.org/abs/2309.05542
With their remarkably improved text generation and prompting capabilities, large language models can adapt existing written information into forms that are easier to use and understand. In our work, we focus on recipes as an example of complex, diver
Externí odkaz:
http://arxiv.org/abs/2306.13986
Voice assistants have sharply risen in popularity in recent years, but their use has been limited mostly to simple applications like music, hands-free search, or control of internet-of-things devices. What would it take for voice assistants to guide
Externí odkaz:
http://arxiv.org/abs/2306.09992
Argumentation is a type of discourse where speakers try to persuade their audience about the reasonableness of a claim by presenting supportive arguments. Most work in argument mining has focused on modeling arguments in monologues. We propose a comp
Externí odkaz:
http://arxiv.org/abs/2004.14677