Baohao Liao - RankMe

35 papers A* 4B 1Journal 20Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Self-Hinting Language Models Enhance Reinforcement Learning. CoRR Baohao Liao, Hanze Dong, Xinxing Xu, Christof Monz, Jiang Bian
2025	—	`conf`	ClusComp: A Simple Paradigm for Model Compression and Efficient Finetuning. ACL (Findings) Baohao Liao, Christian Herold, Seyyed Hadi Hashemi, Stefan Vasilev, Shahram Khadivi, Christof Monz
2025	J	`jnl`	ClusComp: A Simple Paradigm for Model Compression and Efficient Finetuning. CoRR Baohao Liao, Christian Herold, Seyyed Hadi Hashemi, Stefan Vasilev, Shahram Khadivi, Christof Monz
2025	J	`jnl`	Fractured Chain-of-Thought Reasoning. CoRR Baohao Liao, Hanze Dong, Yuhui Xu, Doyen Sahoo, Christof Monz, Junnan Li, Caiming Xiong
2025	J	`jnl`	Lost at the Beginning of Reasoning. CoRR Baohao Liao, Xinyi Chen, Sara Rajaee, Yuhui Xu, Christian Herold, Anders Søgaard, Maarten de Rijke, Christof Monz
2025	J	`jnl`	Movie Facts and Fibs (MF CoRR 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, Sonal Sannigrahi, Wafaa Mohammed, Ben Peters, Danae Sánchez Villegas, Elias Stengel-Eskin, Giuseppe Attanasio, Jaehong Yoon, Stella Frank, Alessandro Suglia, Chrysoula Zerva, Desmond Elliott, Mariella Dimiccoli, Mohit Bansal, Oswald Lanz, Raffaella Bernardi, Raquel Fernández, Sandro Pezzelle, Vlad Niculae, André F. T. Martins
2025	J	`jnl`	Reinforce-Ada: An Adaptive Sampling Framework for Reinforce-Style LLM Training. CoRR Wei Xiong, Chenlu Ye, Baohao Liao, Hanze Dong, Xinxing Xu, Christof Monz, Jiang Bian, Nan Jiang, Tong Zhang
2025	A*	`conf`	Reward-Guided Speculative Decoding for Efficient LLM Reasoning. ICML Baohao Liao, Yuhui Xu, Hanze Dong, Junnan Li, Christof Monz, Silvio Savarese, Doyen Sahoo, Caiming Xiong
2025	J	`jnl`	Reward-Guided Speculative Decoding for Efficient LLM Reasoning. CoRR Baohao Liao, Yuhui Xu, Hanze Dong, Junnan Li, Christof Monz, Silvio Savarese, Doyen Sahoo, Caiming Xiong
2025	—	`conf`	Unilogit: Robust Machine Unlearning for LLMs Using Uniform-Target Self-Distillation. ACL (Findings) Stefan Vasilev, Christian Herold, Baohao Liao, Seyyed Hadi Hashemi, Shahram Khadivi, Christof Monz
2025	J	`jnl`	Unilogit: Robust Machine Unlearning for LLMs Using Uniform-Target Self-Distillation. CoRR Stefan Vasilev, Christian Herold, Baohao Liao, Seyyed Hadi Hashemi, Shahram Khadivi, Christof Monz
2024	A*	`conf`	3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability. NeurIPS Baohao Liao, Christof Monz
2024	J	`jnl`	3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability. CoRR Baohao Liao, Christof Monz
2024	A*	`conf`	ApiQ: Finetuning of 2-Bit Quantized Large Language Model. EMNLP Baohao Liao, Christian Herold, Shahram Khadivi, Christof Monz
2024	J	`jnl`	ApiQ: Finetuning of 2-Bit Quantized Large Language Model. CoRR Baohao Liao, Christof Monz
2024	—	`conf`	IKUN for WMT24 General MT Task: LLMs Are Here for Multilingual Machine Translation. WMT Baohao Liao, Christian Herold, Shahram Khadivi, Christof Monz
2024	J	`jnl`	IKUN for WMT24 General MT Task: LLMs Are here for Multilingual Machine Translation. CoRR Baohao Liao, Christian Herold, Shahram Khadivi, Christof Monz
2024	J	`jnl`	Is It a Free Lunch for Removing Outliers during Pretraining? CoRR Baohao Liao, Christof Monz
2024	—	`conf`	The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models. EMNLP (Findings) Xinyi Chen, Baohao Liao, Jirui Qi, Panagiotis Eustratiadis, Christof Monz, Arianna Bisazza, Maarten de Rijke
2024	J	`jnl`	The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models. CoRR Xinyi Chen, Baohao Liao, Jirui Qi, Panagiotis Eustratiadis, Christof Monz, Arianna Bisazza, Maarten de Rijke
2023	—	`conf`	Ask Language Model to Clean Your Noisy Translation Data. EMNLP (Findings) Quinten Bolding, Baohao Liao, Brandon James Denis, Jun Luo, Christof Monz
2023	J	`jnl`	Ask Language Model to Clean Your Noisy Translation Data. CoRR Quinten Bolding, Baohao Liao, Brandon James Denis, Jun Luo, Christof Monz
2023	J	`jnl`	ITEm: Unsupervised Image-Text Embedding Learning for eCommerce. CoRR Baohao Liao, Michael Kozielski, Sanjika Hewavitharana, Jiangbo Yuan, Shahram Khadivi, Tomer Lancewicki
2023	A*	`conf`	Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning. NeurIPS Baohao Liao, Shaomu Tan, Christof Monz
2023	J	`jnl`	Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning. CoRR Baohao Liao, Shaomu Tan, Christof Monz
2023	—	`conf`	Parameter-Efficient Fine-Tuning without Introducing New Latency. ACL (1) Baohao Liao, Yan Meng, Christof Monz
2023	J	`jnl`	Parameter-Efficient Fine-Tuning without Introducing New Latency. CoRR Baohao Liao, Yan Meng, Christof Monz
2022	—	`conf`	Mask More and Mask Later: Efficient Pre-training of Masked Language Models by Disentangling the [MASK] Token. EMNLP (Findings) Baohao Liao, David Thulke, Sanjika Hewavitharana, Hermann Ney, Christof Monz
2022	J	`jnl`	Mask More and Mask Later: Efficient Pre-training of Masked Language Models by Disentangling the [MASK] Token. CoRR Baohao Liao, David Thulke, Sanjika Hewavitharana, Hermann Ney, Christof Monz
2022	J	`jnl`	Towards prediction of turbulent flows at high Reynolds numbers using high performance computing data and deep learning. CoRR Mathis Bode, Michael Gauding, Jens Henrik Göbbert, Baohao Liao, Jenia Jitsev, Heinz Pitsch
2021	—	`conf`	Back-translation for Large-Scale Multilingual Machine Translation. WMT@EMNLP Baohao Liao, Shahram Khadivi, Sanjika Hewavitharana
2021	J	`jnl`	Back-translation for Large-Scale Multilingual Machine Translation. CoRR Baohao Liao, Shahram Khadivi, Sanjika Hewavitharana
2020	—	`conf`	Multi-Agent Mutual Learning at Sentence-Level and Token-Level for Neural Machine Translation. EMNLP (Findings) Baohao Liao, Yingbo Gao, Hermann Ney
2020	B	`conf`	Unifying Input and Output Smoothing in Neural Machine Translation. COLING Yingbo Gao, Baohao Liao, Hermann Ney
2018	—	`conf`	Towards Prediction of Turbulent Flows at High Reynolds Numbers Using High Performance Computing Data and Deep Learning. ISC Workshops Mathis Bode, Michael Gauding, Jens Henrik Göbbert, Baohao Liao, Jenia Jitsev, Heinz Pitsch