4 papers · 1 filter
LLM-ReSum: A Framework for LLM Reflective Summarization through Self-Evaluation
Huyen Nguyen, Haoxuan Zhang, Yang Zhang +2
Reliable evaluation of large language model (LLM)-generated summaries remains an open challenge, particularly across heterogeneous domains and document lengths. We conduct a compre…
LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization
Huyen Nguyen, Haoxuan Zhang, Yang Zhang +2
Evaluating long document summaries remains the primary bottleneck in summarization research. Existing metrics correlate weakly with human judgments and produce aggregate scores wit…
ReviewGuard: Enhancing Deficient Peer Review Detection via LLM-Driven Data Augmentation
Haoxuan Zhang, Ruochi Li, Sarthak Shrestha +6
Peer review serves as the gatekeeper of science, yet the surge in submissions and widespread adoption of large language models (LLMs) in scholarly evaluation present unprecedented…
Unveiling the Merits and Defects of LLMs in Automatic Review Generation for Scientific Papers
Ruochi Li, Haoxuan Zhang, Edward Gehringer +3
The surge in scientific submissions has placed increasing strain on the traditional peer-review process, prompting the exploration of large language models (LLMs) for automated rev…