Towards Prediction of Turbulent Flows at High Reynolds Numbers Using High Performance Computing Data and Deep Learning. - Mathis Bode; Michael Gauding; Jens Henrik Göbbert; Baohao Liao; Jenia Jitsev; Heinz Pitsch (ISC Workshops, 2018)

Unifying Input and Output Smoothing in Neural Machine Translation. - Yingbo Gao; Baohao Liao; Hermann Ney (COLING, 2020)

Multi-Agent Mutual Learning at Sentence-Level and Token-Level for Neural Machine Translation. - Baohao Liao; Yingbo Gao; Hermann Ney (EMNLP (Findings), 2020)

Back-translation for Large-Scale Multilingual Machine Translation. - Baohao Liao; Shahram Khadivi; Sanjika Hewavitharana (WMT@EMNLP, 2021)

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 (EMNLP (Findings), 2022)

Parameter-Efficient Fine-Tuning without Introducing New Latency. - Baohao Liao; Yan Meng; Christof Monz (ACL (1), 2023)

Ask Language Model to Clean Your Noisy Translation Data. - Quinten Bolding; Baohao Liao; Brandon James Denis; Jun Luo; Christof Monz (EMNLP (Findings), 2023)

Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning. - Baohao Liao; Shaomu Tan; Christof Monz (NeurIPS, 2023)

Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning. - Baohao Liao; Shaomu Tan; Christof Monz (CoRR, 2023)

ITEm: Unsupervised Image-Text Embedding Learning for eCommerce. - Baohao Liao; Michael Kozielski; Sanjika Hewavitharana; Jiangbo Yuan; Shahram Khadivi; Tomer Lancewicki (CoRR, 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)

ApiQ: Finetuning of 2-Bit Quantized Large Language Model. - Baohao Liao; Christian Herold; Shahram Khadivi; Christof Monz (EMNLP, 2024)

3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability. - Baohao Liao; Christof Monz (NeurIPS, 2024)

IKUN for WMT24 General MT Task: LLMs Are Here for Multilingual Machine Translation. - Baohao Liao; Christian Herold; Shahram Khadivi; Christof Monz (WMT, 2024)

ApiQ: Finetuning of 2-Bit Quantized Large Language Model. - Baohao Liao; Christof Monz (CoRR, 2024)

Is It a Free Lunch for Removing Outliers during Pretraining? - Baohao Liao; Christof Monz (CoRR, 2024)

ClusComp: A Simple Paradigm for Model Compression and Efficient Finetuning. - Baohao Liao; Christian Herold; Seyyed Hadi Hashemi; Stefan Vasilev; Shahram Khadivi; Christof Monz (ACL (Findings), 2025)

Unilogit: Robust Machine Unlearning for LLMs Using Uniform-Target Self-Distillation. - Stefan Vasilev; Christian Herold; Baohao Liao; Seyyed Hadi Hashemi; Shahram Khadivi; Christof Monz (ACL (Findings), 2025)

Reward-Guided Speculative Decoding for Efficient LLM Reasoning. - Baohao Liao; Yuhui Xu; Hanze Dong; Junnan Li 001; Christof Monz; Silvio Savarese; Doyen Sahoo; Caiming Xiong (CoRR, 2025)

Fractured Chain-of-Thought Reasoning. - Baohao Liao; Hanze Dong; Yuhui Xu; Doyen Sahoo; Christof Monz; Junnan Li 001; Caiming Xiong (CoRR, 2025)

Movie Facts and Fibs (MF2): A Benchmark for Long Movie Understanding. - Emmanouil Zaranis; António Farinhas; Saul José Rodrigues dos Santos; Beatriz Canaverde; Miguel Moura Ramos; Aditya K. Surikuchi; André Viveiros; Baohao Liao; Elena Belén Bueno-Benito; Nithin Sivakumaran; Pavlo Vasylenko; Shoubin Yu; et al. (CoRR, 2025)

Lost at the Beginning of Reasoning. - Baohao Liao; Xinyi Chen; Sara Rajaee; Yuhui Xu; Christian Herold; Anders Søgaard; Maarten de Rijke; Christof Monz (CoRR, 2025)