Recoverable Identifier
advisory
doi_compliance
recoverable_identifier
DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.18653/v1/2025.naacl-long.323.URL) was visible in the surrounding text but could not be confirmed against doi.org as printed.
Paper page Integrity report arXiv Try DOI
Evidence text
URL https://aclanthology.org/2025. findings-emnlp.636/. Wang, J., Wang, J., Athiwaratkun, B., Zhang, C., and Zou, J. Mixture-of-agents enhances large language model ca- pabilities. InThe Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025. OpenReview.net, 2025a. URL https: //openreview.net/forum?id=h0ZfDIrj7T. Wang, L., Lian, J., Huang, Y ., Dai, Y ., Li, H., Chen, X., Xie, X., and Wen, J.-R. CharacterBox: Evaluating the role-playing capabilities of LLMs in text-based virtual worlds. In Chiruzzo, L., Ritter, A., and Wang, L. (eds.), Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computa- tional Linguistics: Human Language Technologies (Vol- ume 1: Long Papers), pp. 6372–6391, Albuquerque, New Mexico, 2025b. Association for Computational Linguis- tics. ISBN 979-8-89176-189-6. doi: 10.18653/v1/2025. naacl-long.323. URL https://aclanthology. org/2025.naacl-long.323/. 12 MASPO: Joint Prompt Optimization for LLM-based Multi-Agent Systems Wang, X., Wei, J., Schuurmans, D., Le, Q. V ., Chi, E. H., Narang, S., Chowdhery, A., and Zhou, D. Self-consistency improves chain of thought reason- ing in language models. InThe Eleventh Interna- tional Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023. OpenReview.net,
Evidence payload
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"ref_index": 10,
"resolved_title": null,
"verdict_class": "incontrovertible"
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