{"total":32,"rows":[{"id":"2412.11948","title":"OpenReviewer: A Specialized Large Language Model for Generating Critical Scientific Paper Reviews","created":"2024-12-16","cited_by_count":65,"area":null},{"id":"2501.10326","title":"Large language models for automated scholarly paper review: A survey","created":"2025-01-17","cited_by_count":61,"area":null},{"id":"2505.04966","title":"Position: The AI Conference Peer Review Crisis Demands Author Feedback and Reviewer Rewards","created":"2025-05-08","cited_by_count":34,"area":null},{"id":"2502.14297","title":"Evaluating Sakana's AI Scientist: Bold Claims, Mixed Results, and a Promising Future?","created":"2025-02-20","cited_by_count":32,"area":null},{"id":"2502.17086","title":"Mind the Blind Spots: A Focus-Level Evaluation Framework for LLM Reviews","created":"2025-02-24","cited_by_count":24,"area":null},{"id":"2502.19614","title":"Is Your Paper Being Reviewed by an LLM? Benchmarking AI Text Detection in Peer Review","created":"2025-02-26","cited_by_count":21,"area":null},{"id":"2507.23276","title":"How Far Are AI Scientists from Changing the World?","created":"2025-07-31","cited_by_count":15,"area":null},{"id":"2511.21843","title":"FLAWS: A Benchmark for Error Identification and Localization in Scientific Papers","created":"2025-11-26","cited_by_count":14,"area":null},{"id":"2605.03202","title":"Stop Automating Peer Review Without Rigorous Evaluation","created":"2026-05-04","cited_by_count":14,"area":null},{"id":"2509.19326","title":"Unveiling the Merits and Defects of LLMs in Automatic Review Generation for Scientific Papers","created":"2025-09-13","cited_by_count":12,"area":null},{"id":"2509.13400","title":"Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews","created":"2025-09-16","cited_by_count":11,"area":null},{"id":"2605.18661","title":"AI for Auto-Research: Roadmap & User Guide","created":"2026-05-18","cited_by_count":11,"area":null},{"id":"2506.08134","title":"Position: The ML Community Must Build an AI-Augmented Peer-Review Ecosystem","created":"2025-06-09","cited_by_count":9,"area":null},{"id":"2601.06884","title":"Paraphrasing Adversarial Attack on LLM-as-a-Reviewer","created":"2026-01-11","cited_by_count":8,"area":null},{"id":"2504.20644","title":"Combatting Dimensional Collapse in LLM Pre-Training Data via Diversified File Selection","created":"2025-04-29","cited_by_count":5,"area":null},{"id":"2505.21636","title":"The Feasibility of Topic-Based Watermarking on Academic Peer Reviews","created":"2025-05-27","cited_by_count":4,"area":null},{"id":"2505.14376","title":"Graph-Guided Passage Retrieval for Author-Centric Structured Feedback","created":"2025-05-20","cited_by_count":3,"area":null},{"id":"2510.16549","title":"ReviewGuard: Enhancing Deficient Peer Review Detection via LLM-Driven Data Augmentation","created":"2025-10-18","cited_by_count":3,"area":null},{"id":"2601.20920","title":"Do LLMs Favor LLMs? Quantifying Interaction Effects in Peer Review","created":"2026-01-28","cited_by_count":3,"area":null},{"id":"2606.20897","title":"PeerCheck: Enhancing LLM-Generated Academic Reviews Towards Human-Level Quality","created":"2026-06-18","cited_by_count":3,"area":null},{"id":"2412.11939","title":"SEAGraph: Unveiling the Whole Story of Paper Review Comments","created":"2024-12-16","cited_by_count":2,"area":null},{"id":"2604.23593","title":"When AI reviews science: Can we trust the referee?","created":"2026-04-26","cited_by_count":2,"area":null},{"id":"2605.05271","title":"IntraGuard: Committee-Side Defenses Against Review Outsourcing to Commercial Chatbots","created":"2026-05-06","cited_by_count":2,"area":null},{"id":"2507.08870","title":"GUIDE: Towards Scalable Advising for Research Ideas","created":"2025-07-09","cited_by_count":1,"area":null},{"id":"2603.06862","title":"Supporting Artifact Evaluation with LLMs: A Study with Published Security Research Papers","created":"2026-03-06","cited_by_count":1,"area":null},{"id":"2606.23233","title":"Judgment-Grounded Expansion for Peer Review Generation","created":"2026-06-22","cited_by_count":0,"area":null},{"id":"2607.22681","title":"From peer review nuances to best practices","created":"2026-07-12","cited_by_count":0,"area":null},{"id":"2609.03580","title":"HalluPeer: A Taxonomy-driven Benchmark for Detecting Hallucinations in Scientific Peer Reviews","created":"2026-09-03","cited_by_count":0,"area":null},{"id":"2609.03943","title":"More Criticism Does Not Make a Better Review: EquiReview-R","created":"2026-09-03","cited_by_count":0,"area":null},{"id":"2609.24028","title":"When Evidence Conflicts: Reliability-aware Meta-review Generation","created":"2026-09-21","cited_by_count":0,"area":null},{"id":"2609.37097","title":"Breaking the Illusion of Review Reliability under Static Evaluation: SCOPE Fuzzing for LLM-based Scientific Reviewers","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2610.11087","title":"Beyond Imitation: A Framework and Benchmark for LLM-Assisted Peer Review","created":"2026-10-08","cited_by_count":0,"area":null}],"next_cursor":null}