Jirui Qi

According to our database, Jirui Qi authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Likelihood as a Performance Gauge for Retrieval-Augmented Generation.

Tianyu Liu, Jirui Qi, Paul He, Arianna Bisazza, Mrinmaya Sachan, Ryan Cotterell

CoRR, 2024

Democratizing Advanced Attribution Analyses of Generative Language Models with the Inseq Toolkit.

Gabriele Sarti, Nils Feldhus, Jirui Qi, Malvina Nissim, Arianna Bisazza

Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation.

Jirui Qi, Gabriele Sarti, Raquel Fernández, Arianna Bisazza

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models.

Xinyi Chen, Baohao Liao, Jirui Qi, Panagiotis Eustratiadis, Christof Monz, Arianna Bisazza, Maarten de Rijke

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models.

Jirui Qi, Raquel Fernández, Arianna Bisazza

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Multi-Mask Label Mapping for Prompt-Based Learning.

Jirui Qi, Richong Zhang, Jaein Kim, Junfan Chen, Wenyi Qin, Yongyi Mao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Cross Domain Few-Shot Learning via Meta Adversarial Training.

Jirui Qi, Richong Zhang, Chune Li, Yongyi Mao

CoRR, 2022

Parameter-free Automatically Prompting: A Latent Pseudo Label Mapping Model for Prompt-based Learning.

Jirui Qi, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022