Peng Shi

According to our database, Peng Shi authored at least 34 papers between 2016 and 2025.

Collaborative distances:

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

2025

HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding?

Yusen Zhang, Wenliang Zheng, Aashrith Madasu, Peng Shi, Ryo Kamoi, Hao Zhou, Zhuoyang Zou, Shu Zhao, Sarkar Snigdha Sarathi Das, Vipul Gupta, Xiaoxin Lu, Nan Zhang, Ranran Haoran Zhang, Avitej Iyer, Renze Lou, Wenpeng Yin, Rui Zhang

CoRR, April, 2025

You Only Read Once (YORO): Learning to Internalize Database Knowledge for Text-to-SQL.

Hideo Kobayashi, Wuwei Lan, Peng Shi, Shuaichen Chang, Jiang Guo, Henghui Zhu, Zhiguo Wang, Patrick Ng

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation.

Dongyu Ru, Lin Qiu, Xiangkun Hu, Tianhang Zhang, Peng Shi, Shuaichen Chang, Cheng Jiayang, Cunxiang Wang, Shichao Sun, Huanyu Li, Zizhao Zhang, Binjie Wang, Jiarong Jiang, Tong He, Zhiguo Wang, Pengfei Liu, Yue Zhang, Zheng Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Construction of Paired Knowledge Graph - Text Datasets Informed by Cyclic Evaluation.

Ali Mousavi, Xin Zhan, He Bai, Peng Shi, Theodoros Rekatsinas, Benjamin Han, Yunyao Li, Jeffrey Pound, Joshua M. Susskind, Natalie Schluter, Ihab F. Ilyas, Navdeep Jaitly

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

OpenAgents: An Open Platform for Language Agents in the Wild.

Tianbao Xie, Fan Zhou, Zhoujun Cheng, Peng Shi, Luoxuan Weng, Yitao Liu, Toh Jing Hua, Junning Zhao, Qian Liu, Che Liu, Leo Z. Liu, Yiheng Xu, Hongjin Su, Dongchan Shin, Caiming Xiong, Tao Yu

CoRR, 2023

Binding Language Models in Symbolic Languages.

Zhoujun Cheng, Tianbao Xie, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning.

Sarkar Snigdha Sarathi Das, Haoran Zhang, Peng Shi, Wenpeng Yin, Rui Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models.

Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

XRICL: Cross-lingual Retrieval-Augmented In-Context Learning for Cross-lingual Text-to-SQL Semantic Parsing.

Peng Shi, Rui Zhang, He Bai, Jimmy Lin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Cross-lingual Text-to-SQL Semantic Parsing with Representation Mixup.

Peng Shi, Linfeng Song, Lifeng Jin, Haitao Mi, He Bai, Jimmy Lin, Dong Yu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Better Language Model with Hypernym Class Prediction.

He Bai, Tong Wang, Alessandro Sordoni, Peng Shi

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering.

Peng Shi, Patrick Ng, Feng Nan, Henghui Zhu, Jun Wang, Jiarong Jiang, Alexander Hanbo Li, Rishav Chakravarti, Donald Weidner, Bing Xiang, Zhiguo Wang

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

2021

Prefix-to-SQL: Text-to-SQL Generation from Incomplete User Questions.

Naihao Deng, Shuaichen Chang, Peng Shi, Tao Yu, Rui Zhang

CoRR, 2021

Cross-Lingual Training with Dense Retrieval for Document Retrieval.

Peng Shi, Rui Zhang, He Bai, Jimmy Lin

CoRR, 2021

Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval.

Xinyu Zhang, Xueguang Ma, Peng Shi, Jimmy Lin

CoRR, 2021

End-to-End Cross-Domain Text-to-SQL Semantic Parsing with Auxiliary Task.

Peng Shi, Tao Yu, Patrick Ng, Zhiguo Wang

CoRR, 2021

Logic-Consistency Text Generation from Semantic Parses.

Chang Shu, Yusen Zhang, Xiangyu Dong, Peng Shi, Tao Yu, Rui Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Semantics of the Unwritten: The Effect of End of Paragraph and Sequence Tokens on Text Generation with GPT2.

He Bai, Peng Shi, Jimmy Lin, Luchen Tan, Kun Xiong, Wen Gao, Jie Liu, Ming Li

Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, 2021

Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training.

Peng Shi, Patrick Ng, Zhiguo Wang, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Cícero Nogueira dos Santos, Bing Xiang

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

Segatron: Segment-Aware Transformer for Language Modeling and Understanding.

He Bai, Peng Shi, Jimmy Lin, Yuqing Xie, Luchen Tan, Kun Xiong, Wen Gao, Ming Li

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

2020

Did You Ask a Good Question? A Cross-Domain Question Intention Classification Benchmark for Text-to-SQL.

Yusen Zhang, Xiangyu Dong, Shuaichen Chang, Tao Yu, Peng Shi, Rui Zhang

CoRR, 2020

SegaBERT: Pre-training of Segment-aware BERT for Language Understanding.

He Bai, Peng Shi, Jimmy Lin, Luchen Tan, Kun Xiong, Wen Gao, Ming Li

CoRR, 2020

Semantics of the Unwritten.

He Bai, Peng Shi, Jimmy Lin, Luchen Tan, Kun Xiong, Wen Gao, Jie Liu, Ming Li

CoRR, 2020

Cross-Lingual Training of Neural Models for Document Ranking.

Peng Shi, He Bai, Jimmy Lin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Cross-Lingual Relevance Transfer for Document Retrieval.

Peng Shi, Jimmy Lin

CoRR, 2019

Simple BERT Models for Relation Extraction and Semantic Role Labeling.

Peng Shi, Jimmy Lin

CoRR, 2019

Matching Entities Across Different Knowledge Graphs with Graph Embeddings.

Michael Azmy, Peng Shi, Jimmy Lin, Ihab F. Ilyas

CoRR, 2019

Simple Attention-Based Representation Learning for Ranking Short Social Media Posts.

Peng Shi, Jinfeng Rao, Jimmy Lin

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

Aligning Cross-Lingual Entities with Multi-Aspect Information.

Hsiu-Wei Yang, Yanyan Zou, Peng Shi, Wei Lu, Jimmy Lin, Xu Sun

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

Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling.

Jinfeng Rao, Linqing Liu, Yi Tay, Hsiu-Wei Yang, Peng Shi, Jimmy Lin

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

2018

Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Networks.

Salman Mohammed, Peng Shi, Jimmy Lin

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Farewell Freebase: Migrating the SimpleQuestions Dataset to DBpedia.

Michael Azmy, Peng Shi, Jimmy Lin, Ihab F. Ilyas

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017

Joint bi-affine parsing and semantic role labeling.

Peng Shi, Yue Zhang

Proceedings of the 2017 International Conference on Asian Language Processing, 2017

2016

Exploiting Mutual Benefits between Syntax and Semantic Roles using Neural Network.

Peng Shi, Zhiyang Teng, Yue Zhang

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016