Tongshuang Wu | DeepAI

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∙ 08/23/2023

Prompt2Model: Generating Deployable Models from Natural Language Instructions

Large language models (LLMs) enable system builders today to create comp...

0 Vijay Viswanathan, et al. ∙

∙ 07/19/2023

LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs

LLMs have shown promise in replicating human-like behavior in crowdsourc...

0 Tongshuang Wu, et al. ∙

∙ 07/02/2023

Large Language Models Enable Few-Shot Clustering

Unlike traditional unsupervised clustering, semi-supervised clustering a...

0 Vijay Viswanathan, et al. ∙

∙ 06/08/2023

Is AI the better programming partner? Human-Human Pair Programming vs. Human-AI pAIr Programming

The emergence of large-language models (LLMs) that excel at code generat...

3 Qianou Ma, et al. ∙

∙ 05/30/2023

Seeing Seeds Beyond Weeds: Green Teaming Generative AI for Beneficial Uses

Large generative AI models (GMs) like GPT and DALL-E are trained to gene...

12 Logan Stapleton, et al. ∙

∙ 05/26/2023

DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions

Modern machine learning relies on datasets to develop and validate resea...

10 Vijay Viswanathan, et al. ∙

∙ 05/16/2023

ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing

While various AI explanation (XAI) methods have been proposed to interpr...

7 Hua Shen, et al. ∙

∙ 05/01/2023

Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation

Many recent advances in natural language generation have been fueled by ...

7 Patrick Fernandes, et al. ∙

∙ 04/17/2023

Tool Learning with Foundation Models

Humans possess an extraordinary ability to create and utilize tools, all...

1 Yujia Qin, et al. ∙

∙ 03/11/2023

Parachute: Evaluating Interactive Human-LM Co-writing Systems

A surge of advances in language models (LMs) has led to significant inte...

2 Hua Shen, et al. ∙

∙ 02/14/2023

ScatterShot: Interactive In-context Example Curation for Text Transformation

The in-context learning capabilities of LLMs like GPT-3 allow annotators...

0 Tongshuang Wu, et al. ∙

∙ 12/01/2022

Decisions that Explain Themselves: A User-Centric Deep Reinforcement Learning Explanation System

With deep reinforcement learning (RL) systems like autonomous driving be...

0 Xiaoran Wu, et al. ∙

∙ 11/11/2022

Capabilities for Better ML Engineering

In spite of machine learning's rapid growth, its engineering support is ...

12 Chenyang Yang, et al. ∙

∙ 08/23/2022

Towards Natural Language-Based Visualization Authoring

A key challenge to visualization authoring is the process of getting fam...

0 Yun Wang, et al. ∙

∙ 03/26/2022

Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension

Question answering (QA) is a fundamental means to facilitate assessment ...

18 Ying Xu, et al. ∙

∙ 03/16/2022

Are Shortest Rationales the Best Explanations for Human Understanding?

Existing self-explaining models typically favor extracting the shortest ...

4 Hua Shen, et al. ∙

∙ 03/13/2022

PromptChainer: Chaining Large Language Model Prompts through Visual Programming

While LLMs can effectively help prototype single ML functionalities, man...

0 Tongshuang Wu, et al. ∙

∙ 02/13/2022

StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement

Despite its benefits for children's skill development and parent-child b...

1 Zheng Zhang, et al. ∙

∙ 12/28/2021

Pretty Princess vs. Successful Leader: Gender Roles in Greeting Card Messages

People write personalized greeting cards on various occasions. While pri...

0 Jiao Sun, et al. ∙

∙ 10/04/2021

AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts

Although large language models (LLMs) have demonstrated impressive poten...

9 Tongshuang Wu, et al. ∙

∙ 09/08/2021

It is AI's Turn to Ask Human a Question: Question and Answer Pair Generation for Children Storybooks in FairytaleQA Dataset

Existing question answering (QA) datasets are created mainly for the app...

30 Bingsheng Yao, et al. ∙

∙ 07/18/2021

DeHumor: Visual Analytics for Decomposing Humor

Despite being a critical communication skill, grasping humor is challeng...

4 Xingbo Wang, et al. ∙

∙ 07/15/2021

Tailor: Generating and Perturbing Text with Semantic Controls

Making controlled perturbations is essential for various tasks (e.g., da...

6 Alexis Ross, et al. ∙

∙ 01/01/2021

Polyjuice: Automated, General-purpose Counterfactual Generation

Counterfactual examples have been shown to be useful for many applicatio...

4 Tongshuang Wu, et al. ∙

∙ 06/26/2020

Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance

Increasingly, organizations are pairing humans with AI systems to improv...

20 Gagan Bansal, et al. ∙

∙ 05/08/2020

Beyond Accuracy: Behavioral Testing of NLP models with CheckList

Although measuring held-out accuracy has been the primary approach to ev...

0 Marco Tulio Ribeiro, et al. ∙

∙ 12/21/2018

Technology-Enabled Disinformation: Summary, Lessons, and Recommendations

Technology is increasingly used -- unintentionally (misinformation) or i...

0 John Akers, et al. ∙

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