Xin Huang
Xin Huang has 3 papers in our library, in 2024–2026, most of them on Reasoning, Machine translation, Language models & pretraining; often with Shujian Huang, AiTi Aw, Bin Wang.
OpenAlex · ORCID · h-index 19 · 102 works · 1,455 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 87 times in our library · ⭐ Paper Stars ranking: #6783
Affiliations
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 work
🧭 Topics 4Research subjects and languages the work is about.Reasoning · 2 worksLanguage models & pretraining · 1 workMultilingual & cross-lingual NLP · 1 workMachine translation · 1 work
Works by year
2020s
Papers
- SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning (2024 · 85 citations)
SeaEval is a benchmark for multilingual foundation models. It addresses gaps that monolingual and bilingual test suites leave open, namely cultural comprehension and whether a model's knowledge stays the same across languages. The benchmark covers four capability areas: classic NLP tasks, complex reasoning, cultural… - R-PRM: Reasoning-Driven Process Reward Modeling (2025 · 18 citations)
Process Reward Models (PRMs) score each step of an LLM's mathematical reasoning. Most existing PRMs output a score directly, which limits how well they learn and gives no explanation for a judgment. Step-level labeled data is also scarce. R-PRM addresses this by having the reward model write an analysis of each step… - PEGRL: Improving Machine Translation by Post-Editing Guided Reinforcement Learning (2026)
LLM translation trained with reinforcement learning (e.g., GRPO) suffers from two problems. Its Monte Carlo group baselines are noisy, and its huge output space rewards broad exploration but gives little signal for small local fixes. PEGRL addresses this by treating translation as a two-step workflow: a draft…
Co-authors here
- Shujian Huang ×2
- AiTi Aw
- Bin Wang
- Fangkai Jiao
- Hao Zhou
- Jiajun Chen
- Junlan Feng
- Nancy Chen
- Shuaijie She
- Xue Han
- Yang Ding
- Yifeng Liu
Venues
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): NAACL 2024
Cited by
Updated
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