Papers by Matthew C. Williams Jr.
LLMs as Meta-Reviewers’ Assistants: A Case Study (2025.naacl-long)
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Eftekhar Hossain, Sanjeev Kumar Sinha, Naman Bansal, R. Alexander Knipper, Souvika Sarkar, John Salvador, Yash Mahajan, Sri Ram Pavan Kumar Guttikonda, Mousumi Akter, Md. Mahadi Hassan, Matthew Freestone, Matthew C. Williams Jr., Dongji Feng, Santu Karmaker
| Challenge: | Meta-reviews are a critical step in the overall scientific peer-reviewed process, which focuses on understanding the consensus of expert opinions on a scholarly work and making informed judgments on its scientific merit. |
| Approach: | They propose to use large language models to generate a controlled multi-perspective-summary (MPS) of their opinions to help meta-reviewers better comprehend multiple experts' perspectives. |
| Outcome: | The proposed model can help meta-reviewers better comprehend multiple experts’ perspectives by generating a controlled multi-perspective-summary (MPS) of their opinions. |