---
title: "Who cites CRMArena: Understanding the — 24 citing papers"
description: "24 papers of the Elamur Research library cite «CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks…"
canonical: "https://research.elamur.ai/free/en/papers/huang-2025-crmarena-understanding-capacity-llm-agents/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/huang-2025-crmarena-understanding-capacity-llm-agents/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [CRMArena: Understanding the Capacity of LLM…](https://md.research.elamur.ai/free/en/papers/huang-2025-crmarena-understanding-capacity-llm-agents/) / cited by

# Who cites «CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments»

24 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments»](https://md.research.elamur.ai/free/en/papers/huang-2025-crmarena-understanding-capacity-llm-agents/)

1. **[APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay](https://md.research.elamur.ai/free/en/papers/prabhakar-2025-apigen-mt-agentic-pipeline-multi/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Akshara Prabhakar, Zuxin Liu, Ming Zhu, et al.*2025 · 36 citations*
2. **[A Survey on Evaluation of LLM-based Agents](https://md.research.elamur.ai/free/en/papers/yehudai-2026-survey-evaluation-llm-based-agents/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Asaf Yehudai, Lilach Eden, Alan Li, et al.*2026 · 21 citations*
3. **[Structured Uncertainty guided Clarification for LLM Agents](https://md.research.elamur.ai/free/en/papers/suri-2026-structured-uncertainty-guided-clarification-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Manan Suri, Puneet Mathur, Nedim Lipka, et al.*2026 · 4 citations*
4. **[AnalystBench: Benchmarking professional long-form report generation with web-mined multimodal tasks](https://md.research.elamur.ai/free/en/papers/pham-2026-analystbench-benchmarking-professional-long-form/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chau Minh Pham, Zichao Wang, Puneet Mathur, et al.*2026*
5. **[GaLa: Hypergraph-Guided Visual Language Models for Procedural Planning](https://md.research.elamur.ai/free/en/papers/wang-2026-gala-hypergraph-guided-visual-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kun Wang, Li Yiming, Mingcheng Qu, et al.*2026*
6. **[Near-Miss: Latent Policy Failure Detection in Agentic Workflows](https://md.research.elamur.ai/free/en/papers/rabinovich-2026-near-miss-latent-policy-failure/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Ella Rabinovich, David Boaz, Naama Zwerdling, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/huang-2025-crmarena-understanding-capacity-llm-agents/) — CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments
