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Towards Safer Operations: An Expert-involved Dataset of High-Pressure Gas Incidents for Preventing Future Failures
This paper introduces a new IncidentAI dataset for safety prevention.
Improving Document Image Understanding with Reinforcement Finetuning
In this paper, we investigate the problem of improving the performance of Artificial Intelligence systems in understanding document images, especially in cases where training data is limited.
Make The Most of Prior Data: A Solution for Interactive Text Summarization with Preference Feedback
For summarization, human preference is critical to tame outputs of the summarizer in favor of human interests, as ground-truth summaries are scarce and ambiguous.
Robust Deep Reinforcement Learning for Extractive Legal Summarization
Automatic summarization of legal texts is an important and still a challenging task since legal documents are often long and complicated with unusual structures and styles.
Sentence Compression as Deletion with Contextual Embeddings
Sentence compression is the task of creating a shorter version of an input sentence while keeping important information.
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