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Langlin Huang

BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language Models
2023 · Zhang, Shaolei, Fang, Qingkai, et al. · arXiv (Cornell University) · 14
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Enhancing Neural Machine Translation with Semantic Units
2023 · Langlin Huang, Shuhao Gu, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 5
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Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning
2026 · Chengsong Huang, Langlin Huang, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 1
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Efficient Test-Time Scaling via Self-Calibration
2025 · Huang, Chengsong, Huang, Langlin, et al. · arXiv (Cornell University) · 1
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MoCE: Adaptive Mixture of Contextualization Experts for Byte-based Neural Machine Translation
2025 · Langlin Huang, Mengyu Bu, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 1
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Integrating Multi-scale Contextualized Information for Byte-based Neural Machine Translation
2024 · Langlin Huang, Yang Feng · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 1
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Questioning the Questions: Sustaining Self-Evolution in Reasoning Models
2026 · Li, Jinyuan, Huang, Chengsong, et al. · arXiv (Cornell University)
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MILO: Automated Harness Discovery via Orchestrated Multi-Agent Evolution
2026 · Jana, Prithwish, Goswami, Mononito, et al. · arXiv (Cornell University)
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On the Off-Policy Teacher in On-Policy Distillation
2026 · Huang, Langlin, Liu, Hao, et al. · arXiv (Cornell University)
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Hermes: Learning Contextual Reasoning Unlocks Test-Time Scaling
2026 · Li, Xinyu, Goswami, Mononito, et al. · arXiv (Cornell University)
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Process Rewards with Learned Reliability
2026 · Li, Jinyuan, Huang, Langlin, et al. · arXiv (Cornell University)
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G-Zero: Self-Play for Open-Ended Generation from Zero Data
2026 · Huang, Chengsong, Liu, Haolin, et al. · arXiv (Cornell University)
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Training Data Efficiency in Multimodal Process Reward Models
2026 · Li, Jinyuan, Huang, Chengsong, et al. · arXiv (Cornell University)
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RelayLLM: Efficient Reasoning via Collaborative Decoding
2026 · Chengsong Huang, Tong Zheng, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Nonsense Helps: Prompt Space Perturbation Broadens Reasoning Exploration
2026 · Langlin Huang, Chengsong Huang, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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POSS: Position Specialist Generates Better Draft for Speculative Decoding
2025 · Huang, Langlin, Huang, Chengsong, et al. · arXiv (Cornell University)
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CrossWordBench: Evaluating the Reasoning Capabilities of LLMs and LVLMs with Controllable Puzzle Generation
2025 · Leng, Jixuan, Huang, Chengsong, et al. · arXiv (Cornell University)
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MoCE: Adaptive Mixture of Contextualization Experts for Byte-based Neural Machine Translation
2024 · Huang, Langlin, Bu, Mengyu, et al. · arXiv (Cornell University)
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Works count: 18
Citation count: 23
H-index: 2
I10-index: 1
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