Enhancing Neural Machine Translation with Semantic Units. - Langlin Huang; Shuhao Gu; Zhuocheng Zhang; Yang Feng 004 (EMNLP (Findings), 2023)

BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language Models. - Shaolei Zhang; Qingkai Fang; Zhuocheng Zhang; Zhengrui Ma; Yan Zhou; Langlin Huang; Mengyu Bu; Shangtong Gui; Yunji Chen; Xilin Chen 001; Yang Feng 004 (CoRR, 2023)

Integrating Multi-scale Contextualized Information for Byte-based Neural Machine Translation. - Langlin Huang; Yang Feng 004 (ACL (Findings), 2024)

Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning. - Chengsong Huang; Langlin Huang; Jiaxin Huang 001 (CoRR, 2024)

MoCE: Adaptive Mixture of Contextualization Experts for Byte-based Neural Machine Translation. - Langlin Huang; Mengyu Bu; Yang Feng 004 (NAACL (Long Papers), 2025)

Efficient Test-Time Scaling via Self-Calibration. - Chengsong Huang; Langlin Huang; Jixuan Leng; Jiacheng Liu; Jiaxin Huang 001 (CoRR, 2025)

CrossWordBench: Evaluating the Reasoning Capabilities of LLMs and LVLMs with Controllable Puzzle Generation. - Jixuan Leng; Chengsong Huang; Langlin Huang; Bill Yuchen Lin; William W. Cohen; Haohan Wang; Jiaxin Huang 001 (CoRR, 2025)

POSS: Position Specialist Generates Better Draft for Speculative Decoding. - Langlin Huang; Chengsong Huang; Jixuan Leng; Di Huang; Jiaxin Huang 001 (CoRR, 2025)