From the 1 of 4 linked papers with an AI index.
5 papers
Can LLMs Write Reliable Rubrics? A Meta-Evaluation for Experiment Reproduction
Hanhua Hong, Yizhi Li, Jiaoyan Chen +4
The paper conducts a meta‑evaluation of rubrics generated by large language models for assessing the reproducibility of research papers, comparing intrinsic semantic similarity and…
HiRAS: A Hierarchical Multi-Agent Framework for Paper-to-Code Generation and Execution
Hanhua Hong, Yizhi LI, Jiaoyan Chen +4
Recent advances in large language models have highlighted their potential to automate computational research, particularly reproducing experimental results. However, existing appro…
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts
Hanhua Hong, Chenghao Xiao, Yang Wang +3
Evaluating natural language generation systems is challenging due to the diversity of valid outputs. While human evaluation is the gold standard, it suffers from inconsistencies, l…
Overview of the NLPCC 2025 Shared Task: Gender Bias Mitigation Challenge
Yizhi Li, Ge Zhang, Hanhua Hong +2
As natural language processing for gender bias becomes a significant interdisciplinary topic, the prevalent data-driven techniques, such as pre-trained language models, suffer from…
Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking
Jun Bai, Zhuofan Chen, Zhenzi Li +5
Text ranking has witnessed significant advancements, attributed to the utilization of dual-encoder enhanced by Pre-trained Language Models (PLMs). Given the proliferation of availa…