---
title: "Who cites Can LLM feedback enhance — 17 citing papers"
description: "17 papers of the Elamur Research library cite «Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR…"
canonical: "https://research.elamur.ai/free/en/papers/thakkar-2025-llm-feedback-enhance-review/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/thakkar-2025-llm-feedback-enhance-review/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Can LLM feedback enhance review quality? A…](https://md.research.elamur.ai/free/en/papers/thakkar-2025-llm-feedback-enhance-review/) / cited by

# Who cites «Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025»

17 papers of our library cite it (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · [← back to «Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025»](https://md.research.elamur.ai/free/en/papers/thakkar-2025-llm-feedback-enhance-review/)

1. **[MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research](https://md.research.elamur.ai/free/en/papers/chen-2025-mlr-bench-evaluating-ai/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Hui Chen, Miao Xiong, Yujie Lu, et al.*2025 · 21 citations*
2. [**AI for Auto-Research: Roadmap & User Guide arXiv:2605.18661**Lingdong Kong, Xian Sun, Wei Chow, et al.*2026 · 5 citations*](https://md.research.elamur.ai/free/en/papers/kong-2026-ai-auto-research-roadmap-user/)
3. [**SoundnessBench: Can Your AI Scientist Really Tell Good Research Ideas from Bad Ones? arXiv:2605.30329**Sy-Tuyen Ho, Minghui Liu, Huy Nghiem, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/ho-2026-soundnessbench-ai-scientist-really/)
4. [**"Give a Positive Review Only": An Early Investigation Into In-Paper Prompt Injection Attacks and Defenses for AI Reviewers arXiv:2511.01287**Qin Zhou, Zhexin Zhang, Zhi Li, et al.*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2025-give-positive-review-only/)
5. [**Exploring the use of AI authors and reviewers at Agents4Science arXiv:2511.15534**Federico Bianchi, Owen Queen, Nitya Thakkar, et al.*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/bianchi-2025-exploring-use-ai-authors/)
6. **[PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers in Overleaf](https://md.research.elamur.ai/free/en/papers/liu-2026-papermentor-human-centered-multi-agent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiarui Liu, Terry Jingchen Zhang, Ryan Faulkner, et al.*2026 · 1 citation*
7. **[From Isolated Scoring to Collaborative Ranking: A Comparison-Native Framework for LLM-Based Paper Evaluation](https://md.research.elamur.ai/free/en/papers/zheng-2026-isolated-scoring-collaborative-ranking-comparison/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Pujun Zheng, Jiacheng Yao, Jinquan Zheng, et al.*2026*
8. **[Preference Optimization for Review Question Generation Improves Writing Quality](https://md.research.elamur.ai/free/en/papers/sharma-2026-preference-optimization-review-question-generation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Karun Sharma, Vidushee Vats, Shengzhi LI, et al.*2026*
9. [**When AI Reviews Train AI Reviewers: Scientific-Judgment Collapse and Mitigation arXiv:2609.20942**Sy-Tuyen Ho, Minghui Liu, Furong Huang*2026*](https://md.research.elamur.ai/free/en/papers/ho-2026-ai-reviews-train-ai/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/thakkar-2025-llm-feedback-enhance-review/) — Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025