Who cites «A Systematic Survey of Automatic Prompt Optimization Techniques»
- EVOTOOL: Self-Evolving Tool-Use Policy Optimization in LLM Agents via Blame-Aware Mutation and Diversity-Aware SelectionAnnual Meeting of the Association for Computational Linguistics (ACL)Shuo Yang, Caren Han, Xueqi Ma, et al.2026 · 6 citations
- COMMUNITYNOTES: A Dataset for Exploring the Helpfulness of Fact-Checking ExplanationsFindings of the Association for Computational LinguisticsRui Xing, Preslav Nakov, Timothy Baldwin, et al.2026 · 2 citations
- LLM Prompt Duel Optimizer: Efficient Label-Free Prompt OptimizationFindings of the Association for Computational LinguisticsYuanchen Wu, Saurabh Verma, Justin Lee, et al.2026 · 2 citations
- Beyond Examples: Towards Automated Thought-level In-Context Reasoning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jinyang Wu, Mingkuan Feng, Shuai Zhang, et al.2026
- Gradient-Guided Multi-Judge Prompt OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)ChenZhuo Zhao, Xinda Wang, Pu Zhao, et al.2026
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