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Found 13 papers, 4 papers with code
CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support
In this work, we investigate the potential of LLMs for producing hierarchical organizations of scientific studies to assist researchers with literature review.
Clinical Notes Reveal Physician Fatigue
Finally, the model indicates that notes written about Black and Hispanic patients have 12% and 21% higher predicted fatigue than Whites -- larger than overnight vs. daytime differences.
Decision-Focused Summarization
To evaluate our method (DecSum), we build a testbed where the task is to summarize the first ten reviews of a restaurant in support of predicting its future rating on Yelp.
Answer Generation for Retrieval-based Question Answering Systems
Recent advancements in transformer-based models have greatly improved the ability of Question Answering (QA) systems to provide correct answers; in particular, answer sentence selection (AS2) models, core components of retrieval-based systems, have achieved impressive results.
Cross-Modal Contrastive Learning of Representations for Navigation using Lightweight, Low-Cost Millimeter Wave Radar for Adverse Environmental Conditions
However, because mmWave radar signals are often noisy and sparse, we propose a cross-modal contrastive learning for representation (CM-CLR) method that maximizes the agreement between mmWave radar data and LiDAR data in the training stage.
Characterizing the Value of Information in Medical Notes
Machine learning models depend on the quality of input data.
Multi-step Joint-Modality Attention Network for Scene-Aware Dialogue System
Understanding dynamic scenes and dialogue contexts in order to converse with users has been challenging for multimodal dialogue systems.
Knowledge-Enriched Visual Storytelling
This paper introduces KG-Story, a three-stage framework that allows the story generation model to take advantage of external Knowledge Graphs to produce interesting stories.
Entropy-Enhanced Multimodal Attention Model for Scene-Aware Dialogue Generation
After the entropy-enhanced DMN secures the video context, we apply an attention model that in-corporates summary and caption to generate an accurate answer given the question about the video.
Dixit: Interactive Visual Storytelling via Term Manipulation
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.
SocialNLP 2018 EmotionX Challenge Overview: Recognizing Emotions in Dialogues
This paper describes an overview of the Dialogue Emotion Recognition Challenge, EmotionX, at the Sixth SocialNLP Workshop, which recognizes the emotion of each utterance in dialogues.
Using Inter-Sentence Diverse Beam Search to Reduce Redundancy in Visual Storytelling
Visual storytelling includes two important parts: coherence between the story and images as well as the story structure.
EmotionLines: An Emotion Corpus of Multi-Party Conversations
A total of 29, 245 utterances from 2, 000 dialogues are labeled in EmotionLines.
