Lei Ding

According to our database, Lei Ding authored at least 14 papers between 2022 and 2026.

Collaborative distances:

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

2026

From Table to Cell: Attention for Better Reasoning with TABALIGN.

Tung Sum Thomas Kwok, Zeyong Zhang, Xinyu Wang, Chunhe Wang, Xiaofeng Lin, Hanwei Wu, Lei Ding, Guang Cheng, Zhijiang Guo

CoRR, May, 2026

Enhancing TableQA through Verifiable Reasoning Trace Reward.

Tung Sum Thomas Kwok, Xinyu Wang, Hengzhi He, Xiaofeng Lin, Peng Lu, Liheng Ma, Chunhe Wang, Ying Nian Wu, Lei Ding, Guang Cheng

CoRR, January, 2026

Dynamic Quantization Error Propagation in Encoder-Decoder ASR Quantization.

Xinyu Wang, Yajie Luo, Yihong Wu, Liheng Ma, Ziyu Zhao, Jingrui Tian, Lei Ding, Yufei Cui, Xiao-Wen Chang

CoRR, January, 2026

VeritasFi: An Adaptable, Multi-tiered RAG Framework for Multi-modal Financial Question Answering.

Zhenghan Tai, Hanwei Wu, Qingchen Hu, Jijun Chi, Hailin He, Lei Ding, Tung Sum Thomas Kwok, Bohuai Xiao, Yuchen Hua, Suyuchen Wang, Peng Lu, Muzhi Li, Yihong Wu, Liheng Ma, Jerry Huang, Jiayi Zhang, Gonghao Zhang, Chaolong Jiang, Jingrui Tian, Sicheng Lyu, Zeyu Li, Boyu Han, Fengran Mo, Xinyue Yu, Yufei Cui, Ling Zhou, Xinyu Wang

Proceedings of the ACM Web Conference 2026, 2026

R² R: A Post-training Framework for Multi-domain Decoder-Only Rerankers.

Hanwei Wu, Qingchen Hu, Zhenghan Tai, Jingrui Tian, Lei Ding, Jijun Chi, Hailin He, Tung Sum Thomas Kwok, Yufei Cui, Sicheng Lyu, Muzhi Li, Mingze Li, Xinyue Yu, Ling Zhou, Peng Lu, Xinyu Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2026

2025

R²R: A Route-to-Rerank Post-Training Framework for Multi-Domain Decoder-Only Rerankers.

Xinyu Wang, Hanwei Wu, Qingchen Hu, Zhenghan Tai, Jingrui Tian, Lei Ding, Jijun Chi, Hailin He, Tung Sum Thomas Kwok, Yufei Cui, Sicheng Lyu, Muzhi Li, Mingze Li, Xinyue Yu, Ling Zhou, Peng Lu

CoRR, November, 2025

It Takes Two: Your GRPO Is Secretly DPO.

Yihong Wu, Liheng Ma, Lei Ding, Muzhi Li, Xinyu Wang, Kejia Chen, Zhan Su, Zhanguang Zhang, Chenyang Huang, Yingxue Zhang, Mark Coates, Jian-Yun Nie

CoRR, October, 2025

2024

Probing Social Bias in Labor Market Text Generation by ChatGPT: A Masked Language Model Approach.

Lei Ding, Yang Hu, Nicole Denier, Enze Shi, Junxi Zhang, Qirui Hu, Karen D. Hughes, Linglong Kong, Bei Jiang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Debiasing with Sufficient Projection: A General Theoretical Framework for Vector Representations.

Enze Shi, Lei Ding, Linglong Kong, Bei Jiang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

Gaussian Differential Privacy on Riemannian Manifolds.

Yangdi Jiang, Xiaotian Chang, Yi Liu, Lei Ding, Linglong Kong, Bei Jiang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Online Local Differential Private Quantile Inference via Self-normalization.

Yi Liu, Qirui Hu, Lei Ding, Linglong Kong

Proceedings of the International Conference on Machine Learning, 2023

2022

Balancing Gender Bias in Job Advertisements With Text-Level Bias Mitigation.

Shenggang Hu, Jabir Alshehabi Al-Ani, Karen D. Hughes, Nicole Denier, Alla Konnikov, Lei Ding, Jinhan Xie, Yang Hu, Monideepa Tarafdar, Bei Jiang, Linglong Kong, Hongsheng Dai

Frontiers Big Data, 2022

Conformalized Fairness via Quantile Regression.

Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving.

Lei Ding, Dengdeng Yu, Jinhan Xie, Wenxing Guo, Shenggang Hu, Meichen Liu, Linglong Kong, Hongsheng Dai, Yanchun Bao, Bei Jiang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022