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20242026
most citedWhat Can Natural Language Processing Do for Peer Review?

5 citations · 6 across the 6 of their papers we have counts for

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cs.CL2025

ABCD-LINK: Annotation Bootstrapping for Cross-Document Fine-Grained Links

Serwar Basch, Ilia Kuznetsov, Tom Hope +1

Understanding fine-grained links between documents is crucial for many applications, yet progress is limited by the lack of efficient methods for data curation. To address this lim…

cs.CL2025

Beyond "Not Novel Enough": Enriching Scholarly Critique with LLM-Assisted Feedback

Osama Mohammed Afzal, Preslav Nakov, Tom Hope +1

Novelty assessment is a central yet understudied aspect of peer review, particularly in high volume fields like NLP where reviewer capacity is increasingly strained. We present a s…

cs.CL2025★ 1 cited

Debatable Intelligence: Benchmarking LLM Judges via Debate Speech Evaluation

Noy Sternlicht, Ariel Gera, Roy Bar-Haim +2

We introduce Debate Speech Evaluation as a novel and challenging benchmark for assessing LLM judges. Evaluating debate speeches requires a deep understanding of the speech at multi…

cs.CL2025

CHIMERA: A Knowledge Base of Scientific Idea Recombinations for Research Analysis and Ideation

Noy Sternlicht, Tom Hope

A hallmark of human innovation is recombination -- the creation of novel ideas by integrating elements from existing concepts and mechanisms. In this work, we introduce CHIMERA, th…

cs.DL2025

In-depth Research Impact Summarization through Fine-Grained Temporal Citation Analysis

Hiba Arnaout, Noy Sternlicht, Tom Hope +1

Understanding the impact of scientific publications is crucial for identifying breakthroughs and guiding future research. Traditional metrics based on citation counts often miss th…