Zhenting Qi
According to our database1,
Zhenting Qi
authored at least 17 papers
between 2022 and 2024.
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Bibliography
2024
Constrained Human-AI Cooperation: An Inclusive Embodied Social Intelligence Challenge.
CoRR, 2024
Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems.
CoRR, 2024
P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
2023
Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
LoFT: Enhancing Faithfulness and Diversity for Table-to-Text Generation via Logic Form Control.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023
SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023
2022
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 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