Beyond Rating proposes five text-centric metrics for AI reviewers and demonstrates that aligning AI focus on paper weaknesses with human experts is required for reliable automated review scoring.
Wenzheng Zhang, Sam Wiseman, and Karl Stratos
3 Pith papers cite this work. Polarity classification is still indexing.
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MEIC-DT delivers competitive coreference resolution on long texts via a memory-bounded dual-threshold incremental clustering scheme built on a lightweight Transformer.
SafeReview trains a Generator to create adversarial prompts and a Defender to detect them via co-evolution with an IR-GAN-inspired loss, claiming better resilience than static defenses for LLM-based peer review.
citing papers explorer
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Beyond Rating: A Comprehensive Evaluation and Benchmark for AI Reviews
Beyond Rating proposes five text-centric metrics for AI reviewers and demonstrates that aligning AI focus on paper weaknesses with human experts is required for reliable automated review scoring.
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MEIC-DT: Memory-Efficient Incremental Clustering for Long-Text Coreference Resolution with Dual-Threshold Constraints
MEIC-DT delivers competitive coreference resolution on long texts via a memory-bounded dual-threshold incremental clustering scheme built on a lightweight Transformer.
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SafeReview: Defending LLM-based Review Systems Against Adversarial Hidden Prompts
SafeReview trains a Generator to create adversarial prompts and a Defender to detect them via co-evolution with an IR-GAN-inspired loss, claiming better resilience than static defenses for LLM-based peer review.