Rolecraft-glm: Advancing personalized role-playing in large language models M Tao, X Liang, T Shi, L Yu, Y Xie arXiv preprint arXiv:2401.09432, 2023 | 5 | 2023 |
CMAT: A Multi-Agent Collaboration Tuning Framework for Enhancing Small Language Models X Liang, M Tao, Y Xia, T Shi, J Wang, JS Yang arXiv preprint arXiv:2404.01663, 2024 | 1 | 2024 |
LinguaShrink: Reducing Token Overhead with Psycholinguistics F Ma, X Liang, M TAo IEEE Access, 2024 | | 2024 |
LanguaShrink: Reducing Token Overhead with Psycholinguistics X Liang, M Tao, Y Xia, T Shi, J Wang, JS Yang arXiv preprint arXiv:2409.00855, 2024 | | 2024 |
Self-evolving Agents with reflective and memory-augmented abilities X Liang, M Tao, Y Xia, T Shi, J Wang, JS Yang arXiv preprint arXiv:2409.00872, 2024 | | 2024 |
Enhancing Commentary Strategies for Imperfect Information Card Games: A Study of Large Language Models in Guandan Commentary M Tao, X Liang, Z Wang, Y Tao, T Shi arXiv preprint arXiv:2406.17807, 2024 | | 2024 |