Guanghui Qin

According to our database, Guanghui Qin authored at least 16 papers between 2018 and 2024.

Collaborative distances:

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

2024

CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation.

Abe Bohan Hou, Orion Weller, Guanghui Qin, Eugene Yang, Dawn J. Lawrie, Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme

CoRR, 2024

Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for LLM Web Agents.

Corby Rosset, Ho-Lam Chung, Guanghui Qin, Ethan C. Chau, Zhuo Feng, Ahmed Awadallah, Jennifer Neville, Nikhil Rao

CoRR, 2024

Streaming Sequence Transduction through Dynamic Compression.

Weiting Tan, Yunmo Chen, Tongfei Chen, Guanghui Qin, Haoran Xu, Heidi C. Zhang, Benjamin Van Durme, Philipp Koehn

CoRR, 2024

Dodo: Dynamic Contextual Compression for Decoder-only LMs.

Guanghui Qin, Corby Rosset, Ethan C. Chau, Nikhil Rao, Benjamin Van Durme

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Nugget 2D: Dynamic Contextual Compression for Scaling Decoder-only Language Models.

Guanghui Qin, Corby Rosset, Ethan C. Chau, Nikhil Rao, Benjamin Van Durme

CoRR, 2023

Nugget: Neural Agglomerative Embeddings of Text.

Guanghui Qin, Benjamin Van Durme

Proceedings of the International Conference on Machine Learning, 2023

The NLP Task Effectiveness of Long-Range Transformers.

Guanghui Qin, Yukun Feng, Benjamin Van Durme

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2021

Iterative Paraphrastic Augmentation with Discriminative Span Alignment.

Ryan Culkin, J. Edward Hu, Elias Stengel-Eskin, Guanghui Qin, Benjamin Van Durme

Trans. Assoc. Comput. Linguistics, 2021

Learning How to Ask: Querying LMs with Mixtures of Soft Prompts.

Guanghui Qin, Jason Eisner

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction.

Mahsa Yarmohammadi, Shijie Wu, Marc Marone, Haoran Xu, Seth Ebner, Guanghui Qin, Yunmo Chen, Jialiang Guo, Craig Harman, Kenton Murray, Aaron Steven White, Mark Dredze, Benjamin Van Durme

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

LOME: Large Ontology Multilingual Extraction.

Patrick Xia, Guanghui Qin, Siddharth Vashishtha, Yunmo Chen, Tongfei Chen, Chandler May, Craig Harman, Kyle Rawlins, Aaron Steven White, Benjamin Van Durme

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021

2020

Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification.

Hongyuan Mei, Guanghui Qin, Minjie Xu, Jason Eisner

Proceedings of the 37th International Conference on Machine Learning, 2020

CopyNext: Explicit Span Copying and Alignment in Sequence to Sequence Models.

Abhinav Singh, Patrick Xia, Guanghui Qin, Mahsa Yarmohammadi, Benjamin Van Durme

Proceedings of the Fourth Workshop on Structured Prediction for NLP@EMNLP 2020, 2020

2019

Imputing Missing Events in Continuous-Time Event Streams.

Hongyuan Mei, Guanghui Qin, Jason Eisner

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data.

Guanghui Qin, Jin-Ge Yao, Xuening Wang, Jinpeng Wang, Chin-Yew Lin

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Data2Text Studio: Automated Text Generation from Structured Data.

Longxu Dou, Guanghui Qin, Jinpeng Wang, Jin-Ge Yao, Chin-Yew Lin

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018