🔗 Who cites «Weight Ensembling Improves Reasoning in Language Models»

10 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · ← back to «Weight Ensembling Improves Reasoning in Language Models»

1. Outcome-based Exploration for LLM ReasoningarXiv:2509.06941Yuda Song, Julia Kempe, Remi Munos2025 · 15 citations
2. Rewarding the Unlikely: Lifting GRPO Beyond Distribution SharpeningConference on Empirical Methods in Natural Language Processing (EMNLP)Andre Wang He, Daniel Fried, Sean Welleck2025 · 15 citations
3. Building LLMs Like LEGO: Two-dimensional Architecture Reassembly of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xingyu Wu, Yu Zhou, KC Tan2026 · 1 citation
4. Boosting Self-Consistency with RankingAnnual Meeting of the Association for Computational Linguistics (ACL)Maria Marina, Daniil Moskovskiy, Sergey Pletenev, et al.2026

6 more papers of our library cite it; they have no page here yet.

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