| 2025 | EMNLP | Benchmarking LLM Faithfulness in RAG with Evolving Leaderboards. | Manveer Singh Tamber, Forrest Sheng Bao, Chenyu Xu, Ge Luo, Suleman Kazi, Minseok Bae, Miaoran Li, Ofer Mendelevitch, Renyi Qu, Jimmy Lin |
| 2025 | NAACL | 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 |
| 2025 | NAACL | MIRAGE-Bench: Automatic Multilingual Benchmark Arena for Retrieval-Augmented Generation Systems. | Nandan Thakur, Suleman Kazi, Ge Luo, Jimmy Lin, Amin Ahmad |
| 2024 | EACL | On the Intractability to Synthesize Factual Inconsistencies in Summarization. | Ge Luo, Weisi Fan, Miaoran Li, Youbiao He, Yinfei Yang, Forrest Sheng Bao |
| 2024 | EMNLP | 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 |
| 2023 | CIKM | Forward Creation, Reverse Selection: Achieving Highly Pertinent Multimodal Responses in Dialogue Contexts. | Ge Luo, Manman Zhang, Yuchen Ma, Sheng Li, Zhenxing Qian, Xinpeng Zhang |
| 2023 | DATE | Two-stage PCB Routing Using Polygon-based Dynamic Partitioning and MCTS. | Youbiao He, Hebi Li, Ge Luo, Forrest Sheng Bao |
| 2023 | EMNLP | 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 |
| 2022 | COLING | PrefScore: Pairwise Preference Learning for Reference-free Summarization Quality Assessment. | Ge Luo, Hebi Li, Youbiao He, Forrest Sheng Bao |
| 2022 | ICASSP | Image Steganalysis with Convolutional Vision Transformer. | Ge Luo, Ping Wei, Shuwen Zhu, Xinpeng Zhang, Zhenxing Qian, Sheng Li |
| 2022 | ICASSP | Joint Learning for Addressee Selection and Response Generation in Multi-Party Conversation. | Qi Song, Sheng Li, Ping Wei, Ge Luo, Xinpeng Zhang, Zhenxing Qian |
| 2022 | NAACL | 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 |
| 2015 | ICDE | Piecewise linear approximation of streaming time series data with max-error guarantees. | Ge Luo, Ke Yi, Siu-Wing Cheng, Zhenguo Li, Wei Fan, Cheng He, Yadong Mu |
| 2015 | SIGMOD | Persistent Data Sketching. | Zhewei Wei, Ge Luo, Ke Yi, Xiaoyong Du, Ji-Rong Wen |
| 2013 | SIGMOD | Quantiles over data streams: an experimental study. | Lu Wang, Ge Luo, Ke Yi, Graham Cormode |