Data2Text Studio: Automated Text Generation from Structured Data. - Longxu Dou; Guanghui Qin; Jinpeng Wang 001; Jin-Ge Yao; Chin-Yew Lin (EMNLP (Demonstration), 2018)

Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data. - Guanghui Qin; Jin-Ge Yao; Xuening Wang; Jinpeng Wang 001; Chin-Yew Lin (EMNLP, 2018)

Imputing Missing Events in Continuous-Time Event Streams. - Hongyuan Mei; Guanghui Qin; Jason Eisner (ICML, 2019)

CopyNext: Explicit Span Copying and Alignment in Sequence to Sequence Models. - Abhinav Singh; Patrick Xia 002; Guanghui Qin; Mahsa Yarmohammadi; Benjamin Van Durme (SPNLP@EMNLP, 2020)

Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification. - Hongyuan Mei; Guanghui Qin; Minjie Xu; Jason Eisner (ICML, 2020)

LOME: Large Ontology Multilingual Extraction. - Patrick Xia 002; Guanghui Qin; Siddharth Vashishtha; Yunmo Chen; Tongfei Chen; Chandler May; Craig Harman; Kyle Rawlins; Aaron Steven White; Benjamin Van Durme (EACL (System Demonstrations), 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; et al. (EMNLP (1), 2021)

Learning How to Ask: Querying LMs with Mixtures of Soft Prompts. - Guanghui Qin; Jason Eisner (NAACL-HLT, 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)

The NLP Task Effectiveness of Long-Range Transformers. - Guanghui Qin; Yukun Feng; Benjamin Van Durme (EACL, 2023)

Nugget: Neural Agglomerative Embeddings of Text. - Guanghui Qin; Benjamin Van Durme (ICML, 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)

Dodo: Dynamic Contextual Compression for Decoder-only LMs. - Guanghui Qin; Corby Rosset; Ethan C. Chau; Nikhil Rao; Benjamin Van Durme (ACL (1), 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)

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 001; Jennifer Neville; Nikhil Rao 001 (CoRR, 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)

CLERC: A Dataset for U. S. 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 (NAACL (Findings), 2025)

Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for Deep Research. - Corbin Rosset; Ho-Lam Chung; Guanghui Qin; Ethan C. Chau; Zhuo Feng; Ahmed Awadallah 001; Jennifer Neville; Nikhil Rao 001 (SIGIR, 2025)

Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning. - Sheng Zhang 012; Qianchu Liu; Guanghui Qin; Tristan Naumann; Hoifung Poon (CoRR, 2025)

KV-Distill: Nearly Lossless Learnable Context Compression for LLMs. - Vivek Chari; Guanghui Qin; Benjamin Van Durme (CoRR, 2025)

X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains. - Qianchu Liu; Sheng Zhang 012; Guanghui Qin; Timothy Ossowski; Yu Gu 017; Ying Jin; Sid Kiblawi; Sam Preston; Mu Wei; Paul Vozila; Tristan Naumann; Hoifung Poon (CoRR, 2025)