Parameter-free Automatically Prompting: A Latent Pseudo Label Mapping Model for Prompt-based Learning. - Jirui Qi; Richong Zhang; Junfan Chen 001; Jaein Kim 003; Yongyi Mao (EMNLP (Findings), 2022)

Cross Domain Few-Shot Learning via Meta Adversarial Training. - Jirui Qi; Richong Zhang; Chune Li; Yongyi Mao (CoRR, 2022)

Multi-Mask Label Mapping for Prompt-Based Learning. - Jirui Qi; Richong Zhang; Jaein Kim 003; Junfan Chen 001; Wenyi Qin; Yongyi Mao (AAAI, 2023)

Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models. - Jirui Qi; Raquel Fernández; Arianna Bisazza (EMNLP, 2023)

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 (EMNLP (Findings), 2024)

Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation. - Jirui Qi; Gabriele Sarti; Raquel Fernández; Arianna Bisazza (EMNLP, 2024)

Democratizing Advanced Attribution Analyses of Generative Language Models with the Inseq Toolkit. - Gabriele Sarti; Nils Feldhus; Jirui Qi; Malvina Nissim; Arianna Bisazza (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2024)

Likelihood as a Performance Gauge for Retrieval-Augmented Generation. - Tianyu Liu 004; Jirui Qi; Paul He; Arianna Bisazza; Mrinmaya Sachan; Ryan Cotterell (CoRR, 2024)

Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation. - Tianyu Liu 004; Jirui Qi; Paul He; Arianna Bisazza; Mrinmaya Sachan; Ryan Cotterell (NAACL (Long Papers), 2025)

On the Consistency of Multilingual Context Utilization in Retrieval-Augmented Generation. - Jirui Qi; Raquel Fernández; Arianna Bisazza (CoRR, 2025)

When Models Reason in Your Language: Controlling Thinking Trace Language Comes at the Cost of Accuracy. - Jirui Qi; Shan Chen; Zidi Xiong; Raquel Fernández; Danielle S. Bitterman; Arianna Bisazza (CoRR, 2025)