Zhenting Qi

According to our database1, Zhenting Qi authored at least 12 papers between 2022 and 2024.

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

Timeline

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Bibliography

2024
Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems.
CoRR, 2024

2023
QTSumm: A New Benchmark for Query-Focused Table Summarization.
CoRR, 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

PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

QTSumm: Query-Focused Summarization over Tabular Data.
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

OpenRT: An Open-source Framework for Reasoning Over Tabular Data.
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
FOLIO: Natural Language Reasoning with First-Order Logic.
CoRR, 2022

Weakly Supervised Two-Stage Training Scheme for Deep Video Fight Detection Model.
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


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