𝗪𝗵𝘆 𝗶𝘁 𝗺𝗮𝘁𝘁𝗲𝗿𝘀:
As LLMs are increasingly integrated into peer review workflows at major AI conferences, these limitations directly affect research quality and evaluation fairness.

𝗪𝗵𝗮𝘁 𝗵𝗲𝗹𝗽𝘀:
✅ Human–LLM collaboration shows the strongest potential
✅ Repeated evaluation of review-specific skills is essential
✅ Controlled benchmarks are needed to assess reasoning, not just fluency

🔗 Project: https://ukplab.github.io/tacl2026-counter-review-logic
📄 Paper: https://arxiv.org/abs/2508.21422
👨‍💻 Code: https://github.com/UKPLab/arxiv2025-counter-review-logic