Xinya Du

According to our database1, Xinya Du authored at least 39 papers between 2016 and 2024.

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Bibliography

2024
PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations.
Trans. Mach. Learn. Res., 2024

FIHA: Autonomous Hallucination Evaluation in Vision-Language Models with Davidson Scene Graphs.
CoRR, 2024

DSBench: How Far Are Data Science Agents to Becoming Data Science Experts?
CoRR, 2024

MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models Agents.
CoRR, 2024

IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering.
CoRR, 2024

VIA: A Spatiotemporal Video Adaptation Framework for Global and Local Video Editing.
CoRR, 2024

FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback.
CoRR, 2024

Language Models as Inductive Reasoners.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

QAEVENT: Event Extraction as Question-Answer Pairs Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Large Language Models for Automated Open-domain Scientific Hypotheses Discovery.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Making Natural Language Reasoning Explainable and Faithful.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
FAITHSCORE: Evaluating Hallucinations in Large Vision-Language Models.
CoRR, 2023

AGent: A Novel Pipeline for Automatically Creating Unanswerable Questions.
CoRR, 2023

Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning.
CoRR, 2023

Logical Reasoning over Natural Language as Knowledge Representation: A Survey.
CoRR, 2023

Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Probing Representations for Document-level Event Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

POE: Process of Elimination for Multiple Choice Reasoning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Leveraging Structured Information for Explainable Multi-hop Question Answering and Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

End-to-end Case-Based Reasoning for Commonsense Knowledge Base Completion.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Zero-Shot Classification by Logical Reasoning on Natural Language Explanations.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Retrieval-Augmented Generative Question Answering for Event Argument Extraction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Dynamic Global Memory for Document-level Argument Extraction.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Automatic Error Analysis for Document-level Information Extraction.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Towards More Intelligent Extraction of Information from Documents.
PhD thesis, 2021

Few-shot Intent Classification and Slot Filling with Retrieved Examples.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Template Filling with Generative Transformers.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

GRIT: Generative Role-filler Transformers for Document-level Event Entity Extraction.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

QA-Driven Zero-shot Slot Filling with Weak Supervision Pretraining.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Document-level Event-based Extraction Using Generative Template-filling Transformers.
CoRR, 2020

Leveraging Structured Metadata for Improving Question Answering on the Web.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Improving Event Duration Prediction via Time-aware Pre-training.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Event Extraction by Answering (Almost) Natural Questions.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Be Consistent! Improving Procedural Text Comprehension using Label Consistency.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018
Harvesting Paragraph-level Question-Answer Pairs from Wikipedia.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Identifying Where to Focus in Reading Comprehension for Neural Question Generation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Learning to Ask: Neural Question Generation for Reading Comprehension.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Cornell Belief and Sentiment System at TAC 2016.
Proceedings of the 2016 Text Analysis Conference, 2016


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