110 citations · 396 across the 36 of their papers we have counts for
19 papers · 1 filter
Does Human Collaboration Enhance the Accuracy of Identifying LLM-Generated Deepfake Texts?
Adaku Uchendu, Jooyoung Lee, Hua Shen +3
Advances in Large Language Models (e.g., GPT-4, LLaMA) have improved the generation of coherent sentences resembling human writing on a large scale, resulting in the creation of so…
Conveying the Predicted Future to Users: A Case Study of Story Plot Prediction
Chieh-Yang Huang, Saniya Naphade, Kavya Laalasa Karanam +1
Creative writing is hard: Novelists struggle with writer's block daily. While automatic story generation has advanced recently, it is treated as a "toy task" for advancing artifici…
Nationality Bias in Text Generation
Pranav Narayanan Venkit, Sanjana Gautam, Ruchi Panchanadikar +2
Little attention is placed on analyzing nationality bias in language models, especially when nationality is highly used as a factor in increasing the performance of social NLP mode…
Are Shortest Rationales the Best Explanations for Human Understanding?
Hua Shen, Tongshuang Wu, Wenbo Guo +1
Existing self-explaining models typically favor extracting the shortest possible rationales - snippets of an input text "responsible for" corresponding output - to explain the mode…
SciCap: Generating Captions for Scientific Figures
Ting-Yao Hsu, C. Lee Giles, Ting-Hao 'Kenneth' Huang
Researchers use figures to communicate rich, complex information in scientific papers. The captions of these figures are critical to conveying effective messages. However, low-qual…
FinQA: A Dataset of Numerical Reasoning over Financial Data
Zhiyu Chen, Wenhu Chen, Charese Smiley +8
The sheer volume of financial statements makes it difficult for humans to access and analyze a business's financials. Robust numerical reasoning likewise faces unique challenges in…
ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences
Yanjun Gao, Ting-hao Huang, Rebecca J. Passonneau
Atomic clauses are fundamental text units for understanding complex sentences. Identifying the atomic sentences within complex sentences is important for applications such as summa…
Plot and Rework: Modeling Storylines for Visual Storytelling
Chi-Yang Hsu, Yun-Wei Chu, Ting-Hao 'Kenneth' Huang +1
Writing a coherent and engaging story is not easy. Creative writers use their knowledge and worldview to put disjointed elements together to form a coherent storyline, and work and…
Semantic Frame Forecast
Chieh-Yang Huang, Ting-Hao 'Kenneth' Huang
This paper introduces semantic frame forecast, a task that predicts the semantic frames that will occur in the next 10, 100, or even 1,000 sentences in a running story. Prior work…
Explaining the Road Not Taken
Hua Shen, Ting-Hao 'Kenneth' Huang
It is unclear if existing interpretations of deep neural network models respond effectively to the needs of users. This paper summarizes the common forms of explanations (such as f…
A `Sourceful' Twist: Emoji Prediction Based on Sentiment, Hashtags and Application Source
Pranav Venkit, Zeba Karishma, Chi-Yang Hsu +4
We widely use emojis in social networking to heighten, mitigate or negate the sentiment of the text. Emoji suggestions already exist in many cross-platform applications but an emoj…
Assessing the Helpfulness of Learning Materials with Inference-Based Learner-Like Agent
Yun-Hsuan Jen, Chieh-Yang Huang, Mei-Hua Chen +2
Many English-as-a-second language learners have trouble using near-synonym words (e.g., small vs.little; briefly vs.shortly) correctly, and often look for example sentences to lear…
CODA-19: Using a Non-Expert Crowd to Annotate Research Aspects on 10,000+ Abstracts in the COVID-19 Open Research Dataset
Ting-Hao 'Kenneth' Huang, Chieh-Yang Huang, Chien-Kuang Cornelia Ding +2
This paper introduces CODA-19, a human-annotated dataset that codes the Background, Purpose, Method, Finding/Contribution, and Other sections of 10,966 English abstracts in the COV…
Knowledge-Enriched Visual Storytelling
Chao-Chun Hsu, Zi-Yuan Chen, Chi-Yang Hsu +4
Stories are diverse and highly personalized, resulting in a large possible output space for story generation. Existing end-to-end approaches produce monotonous stories because they…
Visual Story Post-Editing
Ting-Yao Hsu, Chieh-Yang Huang, Yen-Chia Hsu +1
We introduce the first dataset for human edits of machine-generated visual stories and explore how these collected edits may be used for the visual story post-editing task. The dat…
Dixit: Interactive Visual Storytelling via Term Manipulation
Chao-Chun Hsu, Yu-Hua Chen, Zi-Yuan Chen +3
In this paper, we introduce Dixit, an interactive visual storytelling system that the user interacts with iteratively to compose a short story for a photo sequence. The user initia…
MoodSwipe: A Soft Keyboard that Suggests Messages Based on User-Specified Emotions
Chieh-Yang Huang, Tristan Labetoulle, Ting-Hao Kenneth Huang +4
We present MoodSwipe, a soft keyboard that suggests text messages given the user-specified emotions utilizing the real dialog data. The aim of MoodSwipe is to create a convenient u…
Challenges in Providing Automatic Affective Feedback in Instant Messaging Applications
Chieh-Yang Huang, Ting-Hao, Huang +1
Instant messaging is one of the major channels of computer mediated communication. However, humans are known to be very limited in understanding others' emotions via text-based com…
Visual Storytelling
Ting-Hao, Huang, Francis Ferraro +13
We introduce the first dataset for sequential vision-to-language, and explore how this data may be used for the task of visual storytelling. The first release of this dataset, SIND…