Huang, Chengsong

10 publications

ICLR 2026 CaTS: Calibrated Test-Time Scaling for Efficient LLM Reasoning Chengsong Huang, Langlin Huang, Jixuan Leng, Jiacheng Liu, Jiaxin Huang

ICLR 2026 Parallel-R1: Towards Parallel Thinking via Reinforcement Learning Tong Zheng, Hongming Zhang, Wenhao Yu, Xiaoyang Wang, He Xing, Runpeng Dai, Rui Liu, Huiwen Bao, Chengsong Huang, Heng Huang, Dong Yu

ICLR 2026 R-Zero: Self-Evolving Reasoning LLM from Zero Data Chengsong Huang, Wenhao Yu, Xiaoyang Wang, Hongming Zhang, Zongxia Li, Ruosen Li, Jiaxin Huang, Haitao Mi, Dong Yu

ICLR 2026 Vision-SR1: Self-Rewarding Vision-Language Model via Reasoning Decomposition and Multi-Reward Policy Optimization Zongxia Li, Wenhao Yu, Chengsong Huang, Zhenwen Liang, Rui Liu, Fuxiao Liu, Jingxi Chen, Dian Yu, Jordan Lee Boyd-Graber, Haitao Mi, Dong Yu

ICLRW 2025 Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning Chengsong Huang, Langlin Huang, Jiaxin Huang

ICLR 2025 GOFA: A Generative One-for-All Model for Joint Graph Language Modeling Lecheng Kong, Jiarui Feng, Hao Liu, Chengsong Huang, Jiaxin Huang, Yixin Chen, Muhan Zhang

ICLR 2025 Taming Overconfidence in LLMs: Reward Calibration in RLHF Jixuan Leng, Chengsong Huang, Banghua Zhu, Jiaxin Huang

ICLRW 2024 Evaluating Large Language Models in an Emerging Domain: A Pilot Study in Decentralized Finance Joshua Carter Pearlson, Xiaoyuan Liu, Chengsong Huang, Kripa Ann George, Dawn Song, Chenguang Wang

NeurIPSW 2023 LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition Chengsong Huang, Qian Liu, Bill Yuchen Lin, Chao Du, Tianyu Pang, Min Lin

AAAI 2023 On Grounded Planning for Embodied Tasks with Language Models Bill Yuchen Lin, Chengsong Huang, Qian Liu, Wenda Gu, Sam Sommerer, Xiang Ren