| Generating Relevant and Coherent Dialogue Responses using Self-separated Conditional Variational AutoEncoders B Sun, S Feng, Y Li, J Liu, K Li ACL 2021, 2021 | 36 | 2021 |
| Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data Y Li, P Yuan, S Feng, B Pan, B Sun, X Wang, H Wang, K Li AAAI 2024, 2023 | 19 | 2023 |
| Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning Y Li, P Yuan, S Feng, B Pan, X Wang, B Sun, H Wang, K Li ICLR 2024, 2024 | 14 | 2024 |
| BatchEval: Towards Human-like Text Evaluation P Yuan, S Feng, Y Li, X Wang, B Pan, H Wang, K Li ACL 2024, 2023 | 13 | 2023 |
| Diversifying Neural Dialogue Generation via Negative Distillation Y Li, S Feng, B Sun, K Li NAACL 2022, 2022 | 10 | 2022 |
| Integrate the Essence and Eliminate the Dross: Fine-Grained Self-Consistency for Free-Form Language Generation X Wang, Y Li, S Feng, P Yuan, B Pan, H Wang, Y Hu, K Li ACL 2024, 2024 | 6 | 2024 |
| Generative Dense Retrieval: Memory Can Be a Burden P Yuan, X Wang, S Feng, B Pan, Y Li, H Wang, X Miao, K Li EACL 2024, 2024 | 6 | 2024 |
| Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variables B Sun, Y Li, F Mi, W Wang, Y Li, K Li AAAI 2023, 2022 | 6 | 2022 |
| Make every penny count: Difficulty-adaptive self-consistency for cost-efficient reasoning X Wang, S Feng, Y Li, P Yuan, Y Zhang, B Pan, H Wang, Y Hu, K Li NAACL 2025 Findings, 2024 | 5 | 2024 |
| Towards Fewer Hallucinations in Knowledge-Grounded Dialogue Generation via Augmentative and Contrastive Knowledge-Dialogue B Sun, Y Li, F Mi, F Bie, Y Li, K Li ACL 2023, 1741-1750, 2023 | 5 | 2023 |
| NewsDialogues: Towards Proactive News Grounded Conversation S Li, Y Yin, C Yang, W Jiang, Y Li, Z Cheng, L Shang, X Jiang, Q Liu, ... ACL 2023 Findings, 2023 | 5 | 2023 |
| Better Correlation and Robustness: A Distribution-Balanced Self-Supervised Learning Framework for Automatic Dialogue Evaluation P Yuan, X Wang, J Shi, B Sun, Y Li, K Li NeurIPS 2023, 2023 | 4 | 2023 |
| Focused Large Language Models are Stable Many-Shot Learners P Yuan, S Feng, Y Li, X Wang, Y Zhang, C Tan, B Pan, H Wang, Y Hu, ... EMNLP 2024, 2024 | 3 | 2024 |
| Stop filtering: Multi-view attribute-enhanced dialogue learning Y Li, B Sun, S Feng, K Li Knowledge-Based Systems 277, 110833, 2023 | 3 | 2023 |
| Heterogeneous-Branch Collaborative Learning for Dialogue Generation Y Li, S Feng, B Sun, K Li AAAI 2023, 2023 | 3 | 2023 |
| Think: A novel conversation model for generating grammatically correct and coherent responses B Sun, S Feng, Y Li, J Liu, K Li Knowledge-Based Systems 242, 108376, 2022 | 3 | 2022 |
| CogLM: Tracking Cognitive Development of Large Language Models X Wang, P Yuan, S Feng, Y Li, B Pan, H Wang, Y Hu, K Li NAACL 2025, 2024 | 2 | 2024 |
| Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation Y Li, F Mi, Y Li, Y Wang, B Sun, S Feng, K Li ACL 2024 Findings, arXiv: 2406.07850, 2024 | 2 | 2024 |
| LLM-Powered Benchmark Factory: Reliable, Generic, and Efficient P Yuan, S Feng, Y Li, X Wang, Y Zhang, J Shi, C Tan, B Pan, Y Hu, K Li arXiv preprint arXiv:2502.01683, 2025 | 1 | 2025 |
| Instruction Embedding: Latent Representations of Instructions Towards Task Identification Y Li, J Shi, S Feng, P Yuan, X Wang, B Pan, H Wang, Y Hu, K Li NeurIPS 2024, 2024 | 1 | 2024 |
Shaoxiong FengBeijing Institute of Technology; RedNotebit.edu.cn üzerinde doğrulanmış e-posta adresine sahip