Rui Zhang
Affiliations:- Penn State University, Computer Science and Engineering Department, University Park, PA, USA
- Yale University, Department of Computer Science, New Haven, CT, USA (former, PhD 2020)
- University of Michigan, Department of EECS, Ann Arbor, MI, USA (former)
According to our database1,
Rui Zhang
authored at least 64 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on eecs.psu.edu
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Bibliography
2024
From Lazy to Prolific: Tackling Missing Labels in Open Vocabulary Extreme Classification by Positive-Unlabeled Sequence Learning.
CoRR, 2024
Direct-Inverse Prompting: Analyzing LLMs' Discriminative Capacity in Self-Improving Generation.
CoRR, 2024
Hermes: Unlocking Security Analysis of Cellular Network Protocols by Synthesizing Finite State Machines from Natural Language Specifications.
Proceedings of the 33rd USENIX Security Symposium, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Financial Documents.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
Trans. Mach. Learn. Res., 2023
Trans. Assoc. Comput. Linguistics, 2023
DocMath-Eval: Evaluating Numerical Reasoning Capabilities of LLMs in Understanding Long Documents with Tabular Data.
CoRR, 2023
CoRR, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
ConEntail: An Entailment-based Framework for Universal Zero and Few Shot Classification with Supervised Contrastive Pretraining.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
XSemPLR: Cross-Lingual Semantic Parsing in Multiple Natural Languages and Meaning Representations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages.
CoRR, 2022
ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
XRICL: Cross-lingual Retrieval-Augmented In-Context Learning for Cross-lingual Text-to-SQL Semantic Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Summ<sup>N</sup>: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Did You Ask a Good Question? A Cross-Domain Question Intention Classification Benchmark for Text-to-SQL.
CoRR, 2020
Proceedings of the workshop on Cross-Language Search and Summarization of Text and Speech, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Proceedings of the 9th International Workshop on Evaluating Information Access co-located with the 14th NTCIR Conference on the Evaluation of Information Access Technologies (NTCIR 2019), 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
CoRR, 2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task.
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
Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Addressee and Response Selection in Multi-Party Conversations With Speaker Interaction RNNs.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017
2016
Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents.
Proceedings of the NAACL HLT 2016, 2016
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016