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20232026
most citedCan large language models provide useful feedback on research papers? A large-scale empirical analysis

45 citations · 101 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CL20251 cited

Prototypical Human-AI Collaboration Behaviors from LLM-Assisted Writing in the Wild

Sheshera Mysore, Debarati Das, Hancheng Cao +1

As large language models (LLMs) are used in complex writing workflows, users engage in multi-turn interactions to steer generations to better fit their needs. Rather than passively…

cs.CL2025

From Replication to Redesign: Exploring Pairwise Comparisons for LLM-Based Peer Review

Yaohui Zhang, Haijing Zhang, Wenlong Ji +4

The advent of large language models (LLMs) offers unprecedented opportunities to reimagine peer review beyond the constraints of traditional workflows. Despite these opportunities,…

cs.CL20255 cited

The Widespread Adoption of Large Language Model-Assisted Writing Across Society

Weixin Liang, Yaohui Zhang, Mihai Codreanu +3

The recent advances in large language models (LLMs) attracted significant public and policymaker interest in its adoption patterns. In this paper, we systematically analyze LLM-ass…

cs.CL202443 cited

Mapping the Increasing Use of LLMs in Scientific Papers

Weixin Liang, Yaohui Zhang, Zhengxuan Wu +11

Scientific publishing lays the foundation of science by disseminating research findings, fostering collaboration, encouraging reproducibility, and ensuring that scientific knowledg…

cs.CL2024

Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews

Weixin Liang, Zachary Izzo, Yaohui Zhang +9

We present an approach for estimating the fraction of text in a large corpus which is likely to be substantially modified or produced by a large language model (LLM). Our maximum l…