3 citations · 6 across the 9 of their papers we have counts for
9 papers
Inter-dimension Dependence for Multi-Dimensional Evaluation of Open-Ended Text
Haoyuan Li, Snigdha Chaturvedi
LLM-as-a-judge methods are widely used for evaluating the quality of generated open-ended text. Such evaluations are generally multi-dimensional, since the error patterns in texts…
BoundRL: Efficient Structured Text Segmentation through Reinforced Boundary Generation
Haoyuan Li, Zhengyuan Shen, Sullam Jeoung +6
Structured texts refer to texts containing structured elements beyond plain texts, such as code snippets and placeholders. Such structured texts increasingly require segmentation i…
Comparative Personalization for Multi-document Summarization
Haoyuan Li, Snigdha Chaturvedi
Personalized multi-document summarization (MDS) is essential for meeting individual user preferences of writing style and content focus for summaries. In this paper, we propose tha…
Improving Fairness of Large Language Models in Multi-document Summarization
Haoyuan Li, Rui Zhang, Snigdha Chaturvedi
Fairness in multi-document summarization (MDS) is crucial for providing comprehensive views across documents with diverse social attribute values, which can significantly impact de…
Coverage-based Fairness in Multi-document Summarization
Haoyuan Li, Yusen Zhang, Rui Zhang +1
Fairness in multi-document summarization (MDS) measures whether a system can generate a summary fairly representing information from documents with different social attribute value…
Rationale-based Opinion Summarization
Haoyuan Li, Snigdha Chaturvedi
Opinion summarization aims to generate concise summaries that present popular opinions of a large group of reviews. However, these summaries can be too generic and lack supporting…
Augmented Abstractive Summarization With Document-LevelSemantic Graph
Qiwei Bi, Haoyuan Li, Kun Lu +1
Previous abstractive methods apply sequence-to-sequence structures to generate summary without a module to assist the system to detect vital mentions and relationships within a doc…
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation
Alexander R. Fabbri, Simeng Han, Haoyuan Li +5
Models pretrained with self-supervised objectives on large text corpora achieve state-of-the-art performance on English text summarization tasks. However, these models are typicall…
Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding
Zhecheng Wang, Haoyuan Li, Ram Rajagopal
Understanding intrinsic patterns and predicting spatiotemporal characteristics of cities require a comprehensive representation of urban neighborhoods. Existing works relied on eit…