Xisen Jin

According to our database1, Xisen Jin authored at least 21 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Demystifying Forgetting in Language Model Fine-Tuning with Statistical Analysis of Example Associations.
CoRR, 2024

What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Dataless Knowledge Fusion by Merging Weights of Language Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021
Lifelong Learning of Few-shot Learners across NLP Tasks.
CoRR, 2021

Refining Neural Networks with Compositional Explanations.
CoRR, 2021

Refining Language Models with Compositional Explanations.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Gradient-based Editing of Memory Examples for Online Task-free Continual Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Efficiently Mitigating Classification Bias via Transfer Learning.
CoRR, 2020

Gradient Based Memory Editing for Task-Free Continual Learning.
CoRR, 2020

Visually Grounded Continual Learning of Compositional Semantics.
CoRR, 2020

Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models.
Proceedings of the 8th International Conference on Learning Representations, 2020

Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Visually Grounded Continual Learning of Compositional Phrases.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Contextualizing Hate Speech Classifiers with Post-hoc Explanation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2018
Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation.
CoRR, 2018

Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018


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