PSP: Pre-trained Soft Prompts for Few-Shot Abstractive Summarization. - Xiaochen Liu; Yang Gao 016; Yu Bai 018; Jiawei Li 020; Yinan Hu; Heyan Huang; Boxing Chen (COLING, 2022)

PSP: Pre-trained Soft Prompts for Few-Shot Abstractive Summarization. - Xiaochen Liu; Yu Bai 018; Jiawei Li 020; Yinan Hu; Yang Gao 016 (CoRR, 2022)

G2: Enhance Knowledge Grounded Dialogue via Ground Graph. - Yizhe Yang; Yang Gao 016; Jiawei Li 020; Heyan Huang (CoRR, 2022)

Ask to Understand: Question Generation for Multi-hop Question Answering. - Jiawei Li 020; Mucheng Ren; Yang Gao 016; Yizhe Yang (CCL, 2023)

MindLLM: Pre-training Lightweight Large Language Model from Scratch, Evaluations and Domain Applications. - Yizhe Yang; Huashan Sun; Jiawei Li 020; Runheng Liu; Yinghao Li; Yuhang Liu; Heyan Huang; Yang Gao 016 (CoRR, 2023)

Fundamental Capabilities of Large Language Models and their Applications in Domain Scenarios: A Survey. - Jiawei Li 020; Yizhe Yang; Yu Bai 018; Xiaofeng Zhou 004; Yinghao Li; Huashan Sun; Yuhang Liu; Xingpeng Si; Yuhao Ye; Yixiao Wu; Yiguan Lin; Bin Xu; et al. (ACL (1), 2024)

PSST: A Benchmark for Evaluation-driven Text Public-Speaking Style Transfer. - Huashan Sun; Yixiao Wu; Yizhe Yang; Yinghao Li; Jiawei Li 020; Yuhao Ye; Yang Gao 016 (EMNLP (Findings), 2024)

Bit_numeval at SemEval-2024 Task 7: Enhance Numerical Sensitivity and Reasoning Completeness for Quantitative Understanding. - Xinyue Liang; Jiawei Li 020; Yizhe Yang; Yang Gao 016 (SemEval@NAACL, 2024)

MindLLM: Lightweight large language model pre-training, evaluation and domain application. - Yizhe Yang; Huashan Sun; Jiawei Li 020; Runheng Liu; Yinghao Li; Yuhang Liu; Yang Gao 016; Heyan Huang (AI Open, 2024)

PSPO*: An Effective Process-supervised Policy Optimization for Reasoning Alignment. - Jiawei Li 020; Xinyue Liang; Yizhe Yang; Chong Feng 001; Yang Gao 016 (CoRR, 2024)

METEOR: Evolutionary Journey of Large Language Models from Guidance to Self-Growth. - Jiawei Li 020; Xiaoang Xu; Yang Gao 016 (CoRR, 2024)

Building knowledge-grounded dialogue systems with graph-based semantic modelling. - Yizhe Yang; Heyan Huang; Yang Gao 016; Jiawei Li 020 (Knowl. Based Syst., 2024)

Unveiling and Addressing Pseudo Forgetting in Large Language Models. - Huashan Sun; Yizhe Yang; Yinghao Li; Jiawei Li 020; Yang Gao 016 (ACL (Findings), 2025)

Entropy-Guided Reasoning Compression. - Hourun Zhu; Yang Gao 016; Wenlong Fei; Jiawei Li 020; Huashan Sun (CoRR, 2025)

Simulated Rewards, Skewed Strategies: Tracing the Acquired Preference Bias in LLM-Based Dialogue Planners. - Heyan Huang; Yizhe Yang; Huashan Sun; Jiawei Li 020; Yang Gao 016 (AAAI, 2026)

Think Better, Not Longer: Token-Level Marginal Utility for Efficient Reasoning in Large Reasoning Models. - Jiawei Li 020; Yang Gao 016; Huashan Sun; Chong Feng 001 (ACL (1), 2026)

Fusing generation task data to enhance generalization of LLMs in zero-shot relational triplet extraction. - Xingpeng Si; Yuhao Ye; Yu-Ming Shang; Mengyuan Cao; Yu Bai 018; Jiawei Li 020; Yang Gao 016 (Expert Syst. Appl., 2026)

Fundamental Capabilities and Applications of Large Language Models: A Survey. - Jiawei Li 020; Yang Gao 016; Yizhe Yang; Yu Bai 018; Xiaofeng Zhou 004; Yinghao Li; Huashan Sun; Yuhang Liu; Xingpeng Si; Yuhao Ye; Yixiao Wu; Yiguan Lin; et al. (ACM Comput. Surv., 2026)