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20242026
most citedBenchmarking Prompt Sensitivity in Large Language Models

2 citations · 2 across the 17 of their papers we have counts for

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cs.CL2026

Judging a Review by its Cover: A Reliability Analysis of LLM-based Peer Review Evaluation Metrics

Shakiba Amirshahi, Sajad Ebrahimi, Hai Son Le +2

Peer-review evaluation is increasingly being automated with LLM-as-a-judge metrics, but this creates a measurement risk. A review may receive a high score because it is fluent, org…

cs.CL2026

Peerify: Benchmarking Peer-Review Claim Verification

Alireza Daghighfarsoodeh, Sajad Ebrahimi, Ali Ghorbanpour +4

Peer review plays a central role in scholarly publishing, yet verifying whether reviewer claims are supported by manuscript evidence remains a largely manual and time-consuming pro…

cs.CL2026

PeeriScope: A Multi-Faceted Framework for Evaluating Peer Review Quality

Sajad Ebrahimi, Soroush Sadeghian, Ali Ghorbanpour +6

The increasing scale and variability of peer review in scholarly venues has created an urgent need for systematic, interpretable, and extensible tools to assess review quality. We…

cs.CL2026

Peerispect: Claim Verification in Scientific Peer Reviews

Ali Ghorbanpour, Soroush Sadeghian, Alireza Daghighfarsoodeh +4

Peer review is central to scientific publishing, yet reviewers frequently include claims that are subjective, rhetorical, or misaligned with the submitted work. Assessing whether r…

cs.CL2026

PeerPrism: Peer Evaluation Expertise vs Review-writing AI

Soroush Sadeghian, Alireza Daqiq, Radin Cheraghi +3

Large Language Models (LLMs) are increasingly used in scientific peer review, assisting with drafting, rewriting, expansion, and refinement. However, existing peer-review LLM detec…