Exploring the effect of social media information quality, source credibility and reputation on informational fit-to-task: Moderating role of focused immersion. - Xianjin Zha; Haijuan Yang; Yalan Yan; Kunfeng Liu; Chengsong Huang (Comput. Hum. Behav., 2018)

Exploring adaptive information sharing from the perspective of cognitive switching. - Xianjin Zha; Haijuan Yang; Yalan Yan; Guanxiang Yan; Chengsong Huang; Kunfeng Liu (Aslib J. Inf. Manag., 2019)

Understanding extended information seeking: The perspectives of psychological empowerment and digital libraries attachment. - Xianjin Zha; Chengsong Huang; Yalan Yan; Guanxiang Yan; Xue Wang; Kun Zhang (Aslib J. Inf. Manag., 2020)

Understanding adaptive information seeking in the context of microblogging from the cognitive switching perspective. - Xianjin Zha; Kunfeng Liu; Yalan Yan; Chengsong Huang (J. Libr. Inf. Sci., 2020)

Revisiting the Negative Data of Distantly Supervised Relation Extraction. - Chenhao Xie 002; Jiaqing Liang; Jingping Liu; Chengsong Huang; Wenhao Huang; Yanghua Xiao (ACL/IJCNLP (1), 2021)

WebKE: Knowledge Extraction from Semi-structured Web with Pre-trained Markup Language Model. - Chenhao Xie 002; Wenhao Huang; Jiaqing Liang; Chengsong Huang; Yanghua Xiao (CIKM, 2021)

Watermarking Pre-trained Language Models with Backdooring. - Chenxi Gu; Chengsong Huang; Xiaoqing Zheng; Kai-Wei Chang; Cho-Jui Hsieh (CoRR, 2022)

On Grounded Planning for Embodied Tasks with Language Models. - Bill Yuchen Lin; Chengsong Huang; Qian Liu 012; Wenda Gu; Sam Sommerer; Xiang Ren 001 (AAAI, 2023)

TableVLM: Multi-modal Pre-training for Table Structure Recognition. - Leiyuan Chen; Chengsong Huang; Xiaoqing Zheng; Jinshu Lin; Xuanjing Huang 001 (ACL (1), 2023)

Watermarking PLMs on Classification Tasks by Combining Contrastive Learning with Weight Perturbation. - Chenxi Gu; Xiaoqing Zheng; Jianhan Xu; Muling Wu; Cenyuan Zhang; Chengsong Huang; Hua Cai; Xuanjing Huang 001 (EMNLP (Findings), 2023)

LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition. - Chengsong Huang; Qian Liu 012; Bill Yuchen Lin; Tianyu Pang; Chao Du; Min Lin (CoRR, 2023)

Optimizing Language Model's Reasoning Abilities with Weak Supervision. - Yongqi Tong; Sizhe Wang; Dawei Li; Yifan Wang; Simeng Han; Zi Lin; Chengsong Huang; Jiaxin Huang 001; Jingbo Shang (CoRR, 2024)

GOFA: A Generative One-For-All Model for Joint Graph Language Modeling. - Lecheng Kong; Jiarui Feng; Hao Liu 059; Chengsong Huang; Jiaxin Huang 001; Yixin Chen; Muhan Zhang (CoRR, 2024)

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

GOFA: A Generative One-For-All Model for Joint Graph Language Modeling. - Lecheng Kong; Jiarui Feng; Hao Liu 057; Chengsong Huang; Jiaxin Huang 001; Yixin Chen; Muhan Zhang (ICLR, 2025)

Taming Overconfidence in LLMs: Reward Calibration in RLHF. - Jixuan Leng; Chengsong Huang; Banghua Zhu; Jiaxin Huang 001 (ICLR, 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)

R-Zero: Self-Evolving Reasoning LLM from Zero Data. - Chengsong Huang; Wenhao Yu 002; Xiaoyang Wang; Hongming Zhang 009; Zongxia Li; Ruosen Li; Jiaxin Huang; Haitao Mi; Dong Yu 001 (CoRR, 2025)