84 citations · 147 across the 10 of their papers we have counts for
12 papers
CodeScout: Contextual Problem Statement Enhancement for Software Agents
Manan Suri, Xiangci Li, Mehdi Shojaie +5
Current AI-powered code assistance tools often struggle with poorly-defined problem statements that lack sufficient task context and requirements specification. Recent analysis of…
CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support
Chao-Chun Hsu, Erin Bransom, Jenna Sparks +5
Literature review requires researchers to synthesize a large amount of information and is increasingly challenging as the scientific literature expands. In this work, we investigat…
Clinical Notes Reveal Physician Fatigue
Chao-Chun Hsu, Ziad Obermeyer, Chenhao Tan
Physicians write notes about patients. In doing so, they reveal much about themselves. Using data from 129,228 emergency room visits, we train a model to identify notes written by…
Decision-Focused Summarization
Chao-Chun Hsu, Chenhao Tan
Relevance in summarization is typically defined based on textual information alone, without incorporating insights about a particular decision. As a result, to support risk analysi…
Answer Generation for Retrieval-based Question Answering Systems
Chao-Chun Hsu, Eric Lind, Luca Soldaini +1
Recent advancements in transformer-based models have greatly improved the ability of Question Answering (QA) systems to provide correct answers; in particular, answer sentence sele…
Characterizing the Value of Information in Medical Notes
Chao-Chun Hsu, Shantanu Karnwal, Sendhil Mullainathan +2
Machine learning models depend on the quality of input data. As electronic health records are widely adopted, the amount of data in health care is growing, along with complaints ab…
Multi-step Joint-Modality Attention Network for Scene-Aware Dialogue System
Yun-Wei Chu, Kuan-Yen Lin, Chao-Chun Hsu +1
Understanding dynamic scenes and dialogue contexts in order to converse with users has been challenging for multimodal dialogue systems. The 8-th Dialog System Technology Challenge…
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…
Entropy-Enhanced Multimodal Attention Model for Scene-Aware Dialogue Generation
Kuan-Yen Lin, Chao-Chun Hsu, Yun-Nung Chen +1
With increasing information from social media, there are more and more videos available. Therefore, the ability to reason on a video is important and deserves to be discussed. TheD…
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…
Using Inter-Sentence Diverse Beam Search to Reduce Redundancy in Visual Storytelling
Chao-Chun Hsu, Szu-Min Chen, Ming-Hsun Hsieh +1
Visual storytelling includes two important parts: coherence between the story and images as well as the story structure. For image to text neural network models, similar images in…
EmotionLines: An Emotion Corpus of Multi-Party Conversations
Sheng-Yeh Chen, Chao-Chun Hsu, Chuan-Chun Kuo +3
Feeling emotion is a critical characteristic to distinguish people from machines. Among all the multi-modal resources for emotion detection, textual datasets are those containing t…