Search Results for author:
Found 8 papers, 4 papers with code
Differentiable Instruction Optimization for Cross-Task Generalization
Instruction tuning has been attracting much attention to achieve generalization ability across a wide variety of tasks.
SciReviewGen: A Large-scale Dataset for Automatic Literature Review Generation
Automatic literature review generation is one of the most challenging tasks in natural language processing.
Trustworthy Human Computation: A Survey
Human computation is an approach to solving problems that prove difficult using AI only, and involves the cooperation of many humans.
Weakly Supervised Instance Segmentation using Motion Information via Optical Flow
Recent approaches for weakly supervised instance segmentation detect and segment objects using appearance information obtained from a static image.
Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance
This paper presents a novel unsupervised abstractive summarization method for opinionated texts.
Tree-Structured Neural Topic Model
This paper presents a tree-structured neural topic model, which has a topic distribution over a tree with an infinite number of branches.
Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking
This paper focuses on the end-to-end abstractive summarization of a single product review without supervision.
Extractive Summarization Using Multi-Task Learning with Document Classification
The need for automatic document summarization that can be used for practical applications is increasing rapidly.
