| 2025 | ACL | ClusComp: A Simple Paradigm for Model Compression and Efficient Finetuning. | Baohao Liao, Christian Herold, Seyyed Hadi Hashemi, Stefan Vasilev, Shahram Khadivi, Christof Monz |
| 2025 | ACL | Unilogit: Robust Machine Unlearning for LLMs Using Uniform-Target Self-Distillation. | Stefan Vasilev, Christian Herold, Baohao Liao, Seyyed Hadi Hashemi, Shahram Khadivi, Christof Monz |
| 2025 | ICML | Reward-Guided Speculative Decoding for Efficient LLM Reasoning. | Baohao Liao, Yuhui Xu, Hanze Dong, Junnan Li, Christof Monz, Silvio Savarese, Doyen Sahoo, Caiming Xiong |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | ApiQ: Finetuning of 2-Bit Quantized Large Language Model. | Baohao Liao, Christian Herold, Shahram Khadivi, Christof Monz |
| 2023 | ACL | Parameter-Efficient Fine-Tuning without Introducing New Latency. | Baohao Liao, Yan Meng, Christof Monz |
| 2023 | EMNLP | Ask Language Model to Clean Your Noisy Translation Data. | Quinten Bolding, Baohao Liao, Brandon James Denis, Jun Luo, Christof Monz |
| 2022 | EMNLP | Mask More and Mask Later: Efficient Pre-training of Masked Language Models by Disentangling the [MASK] Token. | Baohao Liao, David Thulke, Sanjika Hewavitharana, Hermann Ney, Christof Monz |
| 2020 | COLING | Unifying Input and Output Smoothing in Neural Machine Translation. | Yingbo Gao, Baohao Liao, Hermann Ney |
| 2020 | EMNLP | Multi-Agent Mutual Learning at Sentence-Level and Token-Level for Neural Machine Translation. | Baohao Liao, Yingbo Gao, Hermann Ney |