| MOSS: An Open Conversational Large Language Model T Sun, X Zhang, Z He, P Li, Q Cheng, X Liu, H Yan, Y Shao, Q Tang, ... Machine Intelligence Research, 1-18, 2024 | 84* | 2024 |
| Evaluating Hallucinations in Chinese Large Language Models Q Cheng, T Sun, W Zhang, S Wang, X Liu, M Zhang, J He, M Huang, Z Yin, ... Preprint, 2023 | 39 | 2023 |
| Improving Contrastive Learning of Sentence Embeddings from AI Feedback Q Cheng, X Yang, T Sun, L Li, X Qiu ACL 2023 (findings), 2023 | 37 | 2023 |
| Can AI Assistants Know What They Don't Know? Q Cheng*, T Sun*, X Liu, W Zhang, Z Yin, S Li, L Li, Z He, K Chen, X Qiu ICML 2024, 2024 | 32 | 2024 |
| Dictionary learning improves patch-free circuit discovery in mechanistic interpretability: A case study on othello-gpt Z He, X Ge, Q Tang, T Sun, Q Cheng, X Qiu arXiv preprint arXiv:2402.12201, 2024 | 16* | 2024 |
| Is MultiWOZ a Solved Task? An Interactive TOD Evaluation Framework with User Simulator Q Cheng*, L Li*, G Quan, F Gao, X Mou, X Qiu EMNLP 2022 (findings), 2022 | 12 | 2022 |
| Cross-modality safety alignment S Wang, X Ye, Q Cheng, J Duan, S Li, J Fu, X Qiu, X Huang NAACL 2025 (findings), 2024 | 9 | 2024 |
| Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models Z Yin, Q Sun, Q Guo, Z Zeng, X Li, T Sun, C Chang, Q Cheng, D Wang, ... COLING 2024, 2024 | 4 | 2024 |
| In-Memory Learning: A Declarative Learning Framework for Large Language Models B Wang, T Sun, H Yan, S Wang, Q Cheng, X Qiu arXiv preprint arXiv:2403.02757, 2024 | 4 | 2024 |
| Agent alignment in evolving social norms S Li, T Sun, Q Cheng, X Qiu arXiv preprint arXiv:2401.04620, 2024 | 4 | 2024 |
| Case2Code: Scalable Synthetic Data for Code Generation Y Shao, L Li, Y Ma, P Li, D Song, Q Cheng, S Li, X Li, P Wang, Q Guo, ... COLING 2025, 2025 | 3* | 2025 |
| Reasoning in flux: Enhancing large language models reasoning through uncertainty-aware adaptive guidance Z Yin, Q Sun, Q Guo, Z Zeng, X Li, J Dai, Q Cheng, XJ Huang, X Qiu COLING 2024, 2024 | 3 | 2024 |
| Scaling Laws for Fact Memorization of Large Language Models X Lu, X Li, Q Cheng, K Ding, X Huang, X Qiu EMNLP 2024 (findings), 2024 | 3 | 2024 |
| Unified Active Retrieval for Retrieval Augmented Generation Q Cheng, X Li, S Li, Q Zhu, Z Yin, Y Shao, L Li, T Sun, H Yan, X Qiu EMNLP 2024 (findings), 2024 | 3 | 2024 |
| LLM can Achieve Self-Regulation via Hyperparameter Aware Generation S Wang, S Li, T Sun, J Fu, Q Cheng, J Ye, J Ye, X Qiu, X Huang ACL 2024 (findings), 2024 | 3 | 2024 |
| Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective Z Zeng*, Q Cheng*, Z Yin*, B Wang*, S Li, Y Zhou, Q Guo, X Huang, X Qiu arXiv preprint arXiv:2412.14135, 2024 | 2 | 2024 |
| Mitigating Negative Style Transfer in Hybrid Dialogue System S Li, Q Cheng, L Li, X Qiu AAAI 2023, 2022 | 2 | 2022 |
| Explicit memory learning with expectation maximization Z Yin, Q Sun, Q Guo, Z Zeng, Q Cheng, X Qiu, XJ Huang EMNLP 2024, 2024 | 1 | 2024 |
| Perceive the Passage of Time: A Systematic Evaluation of Large Language Model in Temporal Relativity S Chen, Y Zheng, S Li, Q Cheng, X Qiu COLING 2025, 2025 | | 2025 |
| Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation Q Zhu, Q Cheng, R Peng, X Li, T Liu, R Peng, X Qiu, X Huang EMNLP 2024 (findings), 2024 | | 2024 |
Xipeng Qiu（邱锡鹏）Professor of Computer Science, Fudan UniversityVerified email at fudan.edu.cn