Mukai Li

According to our database1, Mukai Li authored at least 16 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Red Teaming Visual Language Models.
CoRR, 2024

2023
Silkie: Preference Distillation for Large Visual Language Models.
CoRR, 2023

To be or not to be? an exploration of continuously controllable prompt engineering.
CoRR, 2023

L-Eval: Instituting Standardized Evaluation for Long Context Language Models.
CoRR, 2023

M<sup>3</sup>IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning.
CoRR, 2023

In-Context Learning with Many Demonstration Examples.
CoRR, 2023

LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

ONION: A Simple and Effective Defense Against Textual Backdoor Attacks.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
ONION: A Simple and Effective Defense Against Textual Backdoor Attacks.
CoRR, 2020


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