Ge Luo

According to our database, Ge Luo authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MIRAGE-Bench: Automatic Multilingual Benchmark Arena for Retrieval-Augmented Generation Systems.

Nandan Thakur, Suleman Kazi, Ge Luo, Jimmy Lin, Amin Ahmad

CoRR, 2024

FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMs.

Forrest Sheng Bao, Miaoran Li, Renyi Qu, Ge Luo, Erana Wan, Yujia Tang, Weisi Fan, Manveer Singh Tamber, Suleman Kazi, Vivek Sourabh, Mike Qi, Ruixuan Tu, Chenyu Xu, Matthew Gonzales, Ofer Mendelevitch, Amin Ahmad

CoRR, 2024

SummaCoz: A Dataset for Improving the Interpretability of Factual Consistency Detection for Summarization.

Ge Luo, Weisi Fan, Miaoran Li, Guoruizhe Sun, Runlong Zhang, Chenyu Xu, Forrest Sheng Bao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

On the Intractability to Synthesize Factual Inconsistencies in Summarization.

Ge Luo, Weisi Fan, Miaoran Li, Youbiao He, Yinfei Yang, Forrest Sheng Bao

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

DocAsRef: An Empirical Study on Repurposing Reference-based Summary Quality Metrics as Reference-free Metrics.

Forrest Sheng Bao, Ruixuan Tu, Ge Luo, Yinfei Yang, Hebi Li, Minghui Qiu, Youbiao He, Cen Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Two-stage PCB Routing Using Polygon-based Dynamic Partitioning and MCTS.

Youbiao He, Hebi Li, Ge Luo, Forrest Sheng Bao

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022

DocAsRef: A Pilot Empirical Study on Repurposing Reference-Based Summary Quality Metrics Reference-Freely.

Forrest Sheng Bao, Ruixuan Tu, Ge Luo

CoRR, 2022

SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling.

Forrest Sheng Bao, Ge Luo, Hebi Li, Minghui Qiu, Yinfei Yang, Youbiao He, Cen Chen

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

PrefScore: Pairwise Preference Learning for Reference-free Summarization Quality Assessment.

Ge Luo, Hebi Li, Youbiao He, Forrest Sheng Bao

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2020

End-to-end Semantics-based Summary Quality Assessment for Single-document Summarization.

Forrest Sheng Bao, Hebi Li, Ge Luo, Cen Chen, Yinfei Yang, Minghui Qiu

CoRR, 2020