Langlin Huang
Scholar

Langlin Huang

Google Scholar ID: Mt9xdjYAAAAJ
Washington University in St. Louis
NLP
Citations & Impact
All-time
Citations
175
 
H-index
5
 
i10-index
3
 
Publications
9
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • - POSS: Position Specialist Generates Better Draft for Speculative Decoding
  • - CrossWordBench: Evaluating the Reasoning Capabilities of LLMs and LVLMs with Controllable Puzzle Generation
  • - Efficient Test-Time Scaling via Self-Calibration
  • - Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning
  • - MoCE: Adaptive Mixture of Contextualization Experts for Byte-based Neural Machine Translation
  • - First place in the Chinese-Thai track and second place in the Mongolian-Chinese track at the 18th China Conference on Machine Translation (CCMT 2022)
Research Experience
  • - July 2025: CrossWordBench accepted by COLM 2025
  • - June 2025: Released PosS, an effective Speculative Decoding method
  • - April 2025: Released CrossWordBench, a challenging multimodal Benchmark
  • - February 2025: Paper on Adaptive Heterogeneous MoE for flexible tokenization accepted by NAACL 2025 as oral representation
  • - February 2025: Released Efficient Test-Time Scaling via Self-Calibration
  • - October 2024: Released LARA, a logit aggregation approach for In-Context Learning
  • - August 2024: Started a new journey at Washington University in St. Louis
  • - June 2024: Paper on Byte-based Language Model accepted to ACL 2024
  • - May 21, 2024: Successfully defended Master's dissertation
  • - October 2023: Paper on Compositional Phrase Representation accepted to EMNLP 2023
  • - June 2023: Released BayLing (百聆), an instruction-following LLM
  • - July 2022: Won first place in the Chinese-Thai track and second place in the Mongolian-Chinese track at the 18th China Conference on Machine Translation (CCMT 2022)
  • - September 2021: Started M.S. life at University of Chinese Academy of Sciences (UCAS)
  • - June 2021: Obtained B.E. degree from University of International Business and Economics (UIBE)
  • - June 2020: Published a paper on automatic construction of depression-domain lexicon in JMIR Medical Informatics
Education
  • - PhD student at Washington University in St. Louis (WUSTL), advised by Prof. Jiaxin Huang
  • - Master's degree from Institute of Computing Technology, Chinese Academy of Sciences (ICT/CAS) in Jul. 2024, studied at ICT Natural Language Processing (ICTNLP) group
  • - B.E. degree in Data Science and Big Data Technology from University of International Business and Economics (UIBE) in Jun. 2021
Background
  • - Research interests: Natural Language Processing and Large Language Models
  • - Particularly interested in: Large Language Model Reasoning, Efficient language model generation, Multilingual large language model, Machine Translation