Xiang Gao

According to our database, Xiang Gao authored at least 27 papers between 2018 and 2025.

Collaborative distances:

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

2025

Improving In-Context Learning with Reasoning Distillation.

Nafis Sadeq, Xin Xu, Zhouhang Xie, Julian J. McAuley, Byungkyu Kang, Prarit Lamba, Xiang Gao

CoRR, April, 2025

Transaction Categorization with Relational Deep Learning in QuickBooks.

Kaiwen Dong, Padmaja Jonnalagedda, Xiang Gao, Ayan Acharya, Maria Kissa, Mauricio Flores, Nitesh V. Chawla, Kamalika Das

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2025

Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation.

Yu Wang, Jiaxin Zhang, Xiang Gao, Wendi Cui, Peng Li, Kamalika Das

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Learning to Search Effective Example Sequences for In-Context Learning.

Xiang Gao, Ankita Sinha, Kamalika Das

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

The Behavior Gap: Evaluating Zero-shot LLM Agents in Complex Task-Oriented Dialogs.

Avinash Baidya, Kamalika Das, Xiang Gao

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Mitigating Hallucination in Fictional Character Role-Play.

Nafis Sadeq, Zhouhang Xie, Byungkyu Kang, Prarit Lamba, Xiang Gao, Julian J. McAuley

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

SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models.

Xiang Gao, Jiaxin Zhang, Lalla Mouatadid, Kamalika Das

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Customizing Language Model Responses with Contrastive In-Context Learning.

Xiang Gao, Kamalika Das

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

Supervised Pretraining for Molecular Force Fields and Properties Prediction.

Xiang Gao, Weihao Gao, Wenzhi Xiao, Zhirui Wang, Chong Wang, Liang Xiang

CoRR, 2022

Learning Regularized Positional Encoding for Molecular Prediction.

Xiang Gao, Weihao Gao, Wenzhi Xiao, Zhirui Wang, Chong Wang, Liang Xiang

CoRR, 2022

RetGen: A Joint Framework for Retrieval and Grounded Text Generation Modeling.

Yizhe Zhang, Siqi Sun, Xiang Gao, Yuwei Fang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan

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

2021

Joint Retrieval and Generation Training for Grounded Text Generation.

Yizhe Zhang, Siqi Sun, Xiang Gao, Yuwei Fang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan

CoRR, 2021

An Adversarially-Learned Turing Test for Dialog Generation Models.

Xiang Gao, Yizhe Zhang, Michel Galley, Bill Dolan

CoRR, 2021

NICE: Neural Image Commenting with Empathy.

Kezhen Chen, Qiuyuan Huang, Daniel McDuff, Xiang Gao, Hamid Palangi, Jianfeng Wang, Kenneth D. Forbus, Jianfeng Gao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

A Controllable Model of Grounded Response Generation.

Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang, Xiang Gao, Chris Quirk, Rik Koncel-Kedziorski, Jianfeng Gao, Hannaneh Hajishirzi, Mari Ostendorf, Bill Dolan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Overview of the seventh Dialog System Technology Challenge: DSTC7.

Luis Fernando D'Haro, Koichiro Yoshino, Chiori Hori, Tim K. Marks, Lazaros Polymenakos, Jonathan K. Kummerfeld, Michel Galley, Xiang Gao

Comput. Speech Lang., 2020

Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space.

Chunyuan Li, Xiang Gao, Yuan Li, Baolin Peng, Xiujun Li, Yizhe Zhang, Jianfeng Gao

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Dialogue Response Ranking Training with Large-Scale Human Feedback Data.

Xiang Gao, Yizhe Zhang, Michel Galley, Chris Brockett, Bill Dolan

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation.

Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, Jingjing Liu, Bill Dolan

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

MixingBoard: a Knowledgeable Stylized Integrated Text Generation Platform.

Xiang Gao, Michel Galley, Bill Dolan

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

2019

Consistent Dialogue Generation with Self-supervised Feature Learning.

Yizhe Zhang, Xiang Gao, Sungjin Lee, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan

CoRR, 2019

Dialog System Technology Challenge 7.

Koichiro Yoshino, Chiori Hori, Julien Perez, Luis Fernando D'Haro, Lazaros Polymenakos, R. Chulaka Gunasekara, Walter S. Lasecki, Jonathan K. Kummerfeld, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan, Xiang Gao, Huda AlAmri, Tim K. Marks, Devi Parikh, Dhruv Batra

CoRR, 2019

Jointly Optimizing Diversity and Relevance in Neural Response Generation.

Xiang Gao, Sungjin Lee, Yizhe Zhang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Structuring Latent Spaces for Stylized Response Generation.

Xiang Gao, Yizhe Zhang, Sungjin Lee, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling.

Vighnesh Leonardo Shiv, Chris Quirk, Anshuman Suri, Xiang Gao, Khuram Shahid, Nithya Govindarajan, Yizhe Zhang, Jianfeng Gao, Michel Galley, Chris Brockett, Tulasi Menon, Bill Dolan

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading.

Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi, Jianfeng Gao

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Deep reinforcement learning for time series: playing idealized trading games.

Xiang Gao

CoRR, 2018