Yue Dong
Orcid: 0000-0003-2161-8566Affiliations:
- University of California, Riverside, CA, USA
- McGill University, School of Computer Science, Montreal, QC, Canada (former, PhD 2022)
- Montreal Institute of Learning Algorithms, QC, Canada (former)
- University of Ottawa, Department of Mathematics and Statistics, ON, Canada (former)
According to our database1,
Yue Dong
authored at least 49 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on yuedong.us
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on linkedin.com
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on cs.ucr.edu
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on cs.mcgill.ca
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on twitter.com
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on orcid.org
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on github.com
On csauthors.net:
Bibliography
2024
Trans. Assoc. Comput. Linguistics, 2024
Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning.
CoRR, 2024
LaMMA-P: Generalizable Multi-Agent Long-Horizon Task Allocation and Planning with LM-Driven PDDL Planner.
CoRR, 2024
Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation.
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
Uncertainty Awareness of Large Language Models Under Code Distribution Shifts: A Benchmark Study.
CoRR, 2024
Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
How to Leverage Personal Textual Knowledge for Personalized Conversational Information Retrieval.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
PAT-Questions: A Self-Updating Benchmark for Present-Anchored Temporal Question-Answering.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
CoRR, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
2022
Faithful to the Document or to the World? Mitigating Hallucinations via Entity-Linked Knowledge in Abstractive Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
CoRR, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
HipoRank: Incorporating Hierarchical and Positional Information into Graph-based Unsupervised Long Document Extractive Summarization.
CoRR, 2020
Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
2019
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
2016
Threaded Ensembles of Supervised and Unsupervised Neural Networks for Stream Learning.
Proceedings of the Advances in Artificial Intelligence, 2016