Zhijing Jin
Orcid: 0000-0003-0238-9024
According to our database1,
Zhijing Jin
authored at least 47 papers
between 2018 and 2024.
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Bibliography
2024
A Randomized Controlled Trial on Anonymizing Reviewers to Each Other in Peer Review Discussions.
CoRR, 2024
Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals.
CoRR, 2024
2023
Nat. Mac. Intell., October, 2023
Navigating the Ocean of Biases: Political Bias Attribution in Language Models via Causal Structures.
CoRR, 2023
CoRR, 2023
A PhD Student's Perspective on Research in NLP in the Era of Very Large Language Models.
CoRR, 2023
OPT-R: Exploring the Role of Explanations in Finetuning and Prompting for Reasoning Skills of Large Language Models.
CoRR, 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Understanding Stereotypes in Language Models: Towards Robust Measurement and Zero-Shot Debiasing.
CoRR, 2022
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment.
CoRR, 2022
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
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
2021
Inconsistent Few-Shot Relation Classification via Cross-Attentional Prototype Networks with Contrastive Learning.
CoRR, 2021
Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
CoRR, 2020
CoRR, 2020
Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation.
CoRR, 2020
Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment.
CoRR, 2019
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
2018