Xinya Du
8 papers in the PaperMetrix corpus
Papers by this author
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GRIT: Generative Role-filler Transformers for Document-level Event Entity Extraction
2021
We revisit the classic problem of documentlevel role-filler entity extraction (REE) for template filling. We argue that sentence-level approaches are ill-suited to the task and introduce a generative transformer-based encoderdecoder framework (GRIT) that is designed …
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PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations
2023 · arXiv (Cornell University)
Nowadays, the quality of responses generated by different modern large language models (LLMs) is hard to evaluate and compare automatically. Recent studies suggest and predominantly use LLMs for reference-free evaluation of open-ended question answering. More …
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Language Models as Inductive Reasoners
2024
Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei. Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). …
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Do Retrieval-Augmented Language Models Adapt to Varying User Needs?
2025 · arXiv (Cornell University)
Recent advancements in Retrieval-Augmented Language Models (RALMs) have demonstrated their efficacy in knowledge-intensive tasks. However, existing evaluation benchmarks often assume a single optimal approach to leveraging retrieved information, failing to account for varying user needs. …
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Learning to Ask: Neural Question Generation for Reading Comprehension
2017 · arXiv (Cornell University)
We study automatic question generation for sentences from text passages in reading comprehension. We introduce an attention-based sequence learning model for the task and investigate the effect of encoding sentence- vs. paragraph-level information. In contrast …
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Harvesting Paragraph-level Question-Answer Pairs from Wikipedia
2018
We study the task of generating from Wikipedia articles question-answer pairs that cover content beyond a single sentence. We propose a neural network approach that incorporates coreference knowledge via a novel gating mechanism. Compared to …
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Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding
2020
Few works in the literature of event extraction have gone beyond individual sentences to make extraction decisions. This is problematic when the information needed to recognize an event argument is spread across multiple sentences. We …
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Event Extraction by Answering (Almost) Natural Questions
2020
The problem of event extraction requires detecting the event trigger and extracting its corresponding arguments.