The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement
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“However, procuring sufficient high-quality SFT data remains challenging (Maosongcao et al., 2025;Szep et al., 2025;Han et al., 2025).”
From The landscape of agentic reinforcement learning for LLMs: a survey (2025) · cites this paper as Maosongcao et al., 2025
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Citations
Cites
Self-Instruct: Aligning Language Models with Self-Generated Instructions
Wang, Y., Kordi, Y., Mishra, S., Liu, A., Smith, N. A., Khashabi, D., & Hajishirzi, H. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/2023.acl-long.754 · Cited by 1,243
Reflexion: Language Agents with Verbal Reinforcement Learning
Shinn, N., Cassano, F., Berman, E., Gopinath, A., Narasimhan, K., & Yao, S. (2023) · arXiv · doi:10.48550/arxiv.2303.11366 · Cited by 1,087
Jiang, A. Q., Sablayrolles, A., Mensch, A., Bamford, C., Chaplot, D. S., Casas, D. D. L., Bressand, F., Lengyel, G., Lample, G., Saulnier, L., et al. (2023) · arXiv · doi:10.48550/arxiv.2310.06825 · Cited by 340
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs
Dua, D., Wang, Y., Dasigi, P., Stanovsky, G., Singh, S., & Gardner, M. (2019) · arXiv · doi:10.48550/arxiv.1903.00161 · Cited by 238
Cited by
The landscape of agentic reinforcement learning for LLMs: a survey
Zhang, G., Geng, H., Yu, X., Yin, Z., Zhang, Z., Tan, Z., Zhou, H., Li, Z., Xue, X., Li, Y., et al. (2025) · arXiv · doi:10.48550/arxiv.2509.02547 · Cited by 229
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Metadata
- Authors
- Maosongcao, M., Zhang, T., Li, M., Zhang, C., Liu, Y., He, C., Duan, H., Zhang, S., & Chen, K.
- Venue
- Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Published
- 2025
- Pages
- 22392-22412
- Cited by
- 0
- References
- 4
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- CoChat. (2026). Citation check: Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement. https://app.cochat.ai/papers/10.18653/v1/2025.acl-long.1091
- The paper
- Maosongcao, M., Zhang, T., Li, M., Zhang, C., Liu, Y., He, C., Duan, H., Zhang, S., & Chen, K. (2025). Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). https://doi.org/10.18653/v1/2025.acl-long.1091
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
