On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research. - Luiza Pozzobon; Beyza Ermis; Patrick Lewis 002; Sara Hooker (EMNLP, 2023)

Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented Models. - Luiza Pozzobon; Beyza Ermis; Patrick Lewis 002; Sara Hooker (EMNLP (Findings), 2023)

From One to Many: Expanding the Scope of Toxicity Mitigation in Language Models. - Beyza Ermis; Luiza Pozzobon; Sara Hooker; Patrick Lewis 002 (ACL (Findings), 2024)

SnapKV: LLM Knows What You are Looking for Before Generation. - Yuhong Li; Yingbing Huang; Bowen Yang; Bharat Venkitesh; Acyr Locatelli; Hanchen Ye; Tianle Cai; Patrick Lewis 002; Deming Chen (NeurIPS, 2024)

Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models. - Pat Verga; Sebastian Hofstätter; Sophia Althammer; Yixuan Su; Aleksandra Piktus; Arkady Arkhangorodsky; Minjie Xu; Naomi White; Patrick Lewis 002 (CoRR, 2024)

ALR2: A Retrieve-then-Reason Framework for Long-context Question Answering. - Huayang Li; Pat Verga; Priyanka Sen; Bowen Yang; Vijay Viswanathan; Patrick Lewis 002; Taro Watanabe; Yixuan Su (CoRR, 2024)

Rank-Without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models. - Crystina Zhang; Sebastian Hofstätter; Patrick Lewis 002; Raphael Tang; Jimmy Lin (ECIR (2), 2025)