Who cites «RouteLLM: Learning to Route LLMs with Preference Data»
- Large Language Monkeys: Scaling Inference Compute with Repeated SamplingarXiv:2407.21787Bradley Brown, Jordan Juravsky, Ryan Ehrlich, et al.2024 · 270 citations
- Stop Overthinking: A Survey on Efficient Reasoning for Large Language ModelsarXiv:2503.16419Yang Sui, Yu-Neng Chuang, Guanchu Wang, et al.2025 · 157 citations
- Dynamic Early Exit in Reasoning ModelsarXiv:2504.15895Chenxu Yang, Qingyi Si, Yongjie Duan, et al.2025 · 74 citations
- A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and BeyondarXiv:2503.21614Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.2025 · 55 citations
- Efficient Reasoning Models: A SurveyarXiv:2504.10903Sicheng Feng, Gongfan Fang, Xinyin Ma, et al.2025 · 37 citations
- MasRouter: Learning to Route LLMs for Multi-Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Yanwei Yue, Guibin Zhang, Boyang Liu, et al.2025 · 35 citations
- Answer Convergence as a Signal for Early Stopping in ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Xin Liu, Lu Wang2025 · 22 citations
- Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language ModelsarXiv:2503.24377Rui Wang, Hongru Wang, Boyang Xue, et al.2025 · 16 citations
- FoE: Forest of Errors Makes the First Solution the Best in Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Kehan Jiang, Haonan Dong, Zhaolu Kang, et al.2026 · 15 citations
- When One LLM Drools, Multi-LLM Collaboration RulesAnnual Meeting of the Association for Computational Linguistics (ACL)Shangbin Feng, Wenxuan Ding, Alisa Liu, et al.2026 · 14 citations
- TL;DR: Too Long, Do Re-weighting for Efficient LLM Reasoning CompressionarXiv:2506.02678Zhong-Zhi Li, Xiao Liang, Zihao Tang, et al.2025 · 8 citations
- EvoRoute: Experience-Driven Self-Routing LLM Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Guibin Zhang, Haiyang Yu, Kaiming Yang, et al.2026 · 2 citations
- Confidence-Calibrated Small-Large Language Model Collaboration for Cost-Efficient ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Chuang Zhang, Zizhen Zhu, Yihao Wei, et al.2026 · 1 citation
- Conformal LLM Routing with Distribution-Free Safety GuaranteesAnnual Meeting of the Association for Computational Linguistics (ACL)Iqtedar Uddin, André Bauer2026 · 1 citation
- GlimpRouter: Efficient Collaborative Inference by Glimpsing One Token of ThoughtsFindings of the Association for Computational LinguisticsWenhao Zeng, Xuteng Zhang, Yuling Shi, et al.2026 · 1 citation
- VecCISC: Improving Confidence-Informed Self-Consistency with Reasoning Trace Clustering and Candidate Answer SelectionFindings of the Association for Computational LinguisticsJames Petullo, Sonny George, Dylan Cashman, et al.2026 · 1 citation
- AdaptEvolve: Improving Efficiency of Evolutionary AI Agents through Adaptive Model SelectionFindings of the Association for Computational LinguisticsPretam Ray, Pratik Prabhanjan Brahma, Zicheng Liu, et al.2026
- LatentGate: Low-Latency Semantic Routing via Frozen-Backbone Probing of Small Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shivam Ratnakar, Abhiroop Talasila, Vinayak K Doifode2026
- NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question AnsweringConference of the European Chapter of the Association for Computational Linguistics (EACL)Kaiwen Shi, Zheyuan Zhang, Zhengqing Yuan, et al.2026
- RouteLMT: Learned Sample Routing for Hybrid LLM Translation DeploymentAnnual Meeting of the Association for Computational Linguistics (ACL)Yingfeng Luo, Hongyu Liu, DingYang Lin, et al.2026
- RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Jize Wang, Han Wu, Zhiyuan You, et al.2026
- RouterHGC: Optimized Router for LLM-based Multi-Agent Systems via Heterogeneous Graph Contrastive LearningFindings of the Association for Computational LinguisticsYitao Xiao, Shaoyong Guo, Guoming Yang, et al.2026
- SEMIROUTER: Sparse-Data Enhanced Routing for Adaptive Multi-LLM SystemConference of the European Chapter of the Association for Computational Linguistics (EACL)Zijie Wang, Xinyu Yan, Che Wang, et al.2026
- Shorten After You're Right: Lazy Length Penalties for Reasoning RLFindings of the Association for Computational LinguisticsDanlong Yuan, Tian Xie, Shaohan Huang, et al.2026
- SPIDE: Serial and Parallel Intertwined Speculative DecodingFindings of the Association for Computational LinguisticsWenru Xu, Peixuan Xu, Ziqi Yang, et al.2026
- Task-Aware LLM Routing with Multi-Level Task-Profile-Guided Data Synthesis for Cold-Start ScenariosAnnual Meeting of the Association for Computational Linguistics (ACL)Hui Liu, Bin Zou, Kecheng Chen, et al.2026
- Vertical Routing: A Cost-Efficient Collaboration Routing FrameworkTransactions of the Association for Computational Linguistics (TACL)Si Shen, Peijun Shen, Danhao Zhu2026
- What the Router Sees Matters: Funnel Pooling for Fast, Content Driven Expert RoutingConference of the European Chapter of the Association for Computational Linguistics (EACL)Josef Pichlmeier, Sebastian Nicolas Mueller, Jakob Sturm, et al.2026
This page in Markdown → https://md.research.elamur.ai/free/en/papers/ong-2024-routellm-learning-route-llms-preference/cited-by/