🔗 Who cites «LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion»

178 papers of our library cite it (of the 141,840 whose bibliographies we read) · 13 with a page here, the most cited first · ← back to «LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion»

1. Large Language Monkeys: Scaling Inference Compute with Repeated SamplingarXiv:2407.21787Bradley Brown, Jordan Juravsky, Ryan Ehrlich, et al.2024 · 241 citations
2. Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language ModelsarXiv:2405.01535Seungone Kim, Juyoung Suk, Shayne Longpre, et al.2024 · 220 citations
3. InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model AgentsFindings of the Association for Computational LinguisticsQiusi Zhan, Zhixiang Liang, Zifan Ying, et al.2024 · 187 citations
4. ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Justin Chen, Swarnadeep Saha, Mohit Bansal2024 · 154 citations
5. LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation TasksarXiv:2406.18403Anna Bavaresco, Raffaella Bernardi, Leonardo Bertolazzi, et al.2024 · 137 citations
6. Skywork-Reward: Bag of Tricks for Reward Modeling in LLMsarXiv:2410.18451Chris Yuhao Liu, Liang Zeng, Jiacai Liu, et al.2024 · 104 citations
7. FLASK: Fine-grained Language Model Evaluation based on Alignment Skill SetsarXiv:2307.10928Seonghyeon Ye, Doyoung Kim, Sungdong Kim, et al.2023 · 94 citations
8. Mitigating the Alignment Tax of RLHFConference on Empirical Methods in Natural Language Processing (EMNLP)Yong Lin, Hangyu Lin, Wei Xiong, et al.2024 · 82 citations
9. Inference-Time Scaling for Generalist Reward ModelingarXiv:2504.02495Zijun Liu, Peiyi Wang, Runxin Xu, et al.2025 · 64 citations
10. Large Language Model Routing with Benchmark DatasetsarXiv:2309.15789Tal Shnitzer, Anthony Ou, Mirian Silva, et al.2023 · 61 citations
11. A Binary Problem in Binary QA: Diverse LLMs or Diverse Question Interpretations? That Is the Ensembling QuestionLanguage Resources and Evaluation Conference (LREC)Rafael Rosales, Santiago Miret2026
12. A Single Model Ensemble Framework for Neural Machine Translation Using Pivot TranslationLanguage Resources and Evaluation Conference (LREC)Seokjin Oh, Keonwoong Noh, Woohwan Jung2026
13. Multilingual KokoroChat: A Multi-LLM Ensemble Translation Method for Creating a Multilingual Counseling Dialogue DatasetLanguage Resources and Evaluation Conference (LREC)Ryoma Suzuki, Zhiyang Qi, Michimasa Inaba2026

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

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