Guanghui Qin

34 papers A* 5A 1Journal 21Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Scaling medical imaging report generation with multimodal reinforcement learning.
CoRR
Qianchu Liu, Sheng Zhang, Guanghui Qin, Yu Gu, Ying Jin, Sam Preston, Yanbo Xu, Sid Kiblawi, Wen-Wai Yim, Timothy Ossowski, Tristan Naumann, Mu Wei, Hoifung Poon
2025 J jnl
Be My Eyes: Extending Large Language Models to New Modalities Through Multi-Agent Collaboration.
CoRR
James Y. Huang, Sheng Zhang, Qianchu Liu, Guanghui Qin, Tinghui Zhu, Tristan Naumann, Muhao Chen, Hoifung Poon
2025 — conf
CLERC: A Dataset for U. S. Legal Case Retrieval and Retrieval-Augmented Analysis Generation.
NAACL (Findings)
Abe Bohan Hou, Orion Weller, Guanghui Qin, Eugene Yang, Dawn J. Lawrie, Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme
2025 J jnl
KV-Distill: Nearly Lossless Learnable Context Compression for LLMs.
CoRR
Vivek Chari, Guanghui Qin, Benjamin Van Durme
2025 J jnl
Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning.
CoRR
Sheng Zhang, Qianchu Liu, Guanghui Qin, Tristan Naumann, Hoifung Poon
2025 J jnl
OctoMed: Data Recipes for State-of-the-Art Multimodal Medical Reasoning.
CoRR
Timothy Ossowski, Sheng Zhang, Qianchu Liu, Guanghui Qin, Reuben Tan, Tristan Naumann, Junjie Hu, Hoifung Poon
2025 A* conf
Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for Deep Research.
SIGIR
Corbin Rosset, Ho-Lam Chung, Guanghui Qin, Ethan C. Chau, Zhuo Feng, Ahmed Awadallah, Jennifer Neville, Nikhil Rao
2025 J jnl
The Illusion of Readiness: Stress Testing Large Frontier Models on Multimodal Medical Benchmarks.
CoRR
Yu Gu, Jingjing Fu, Xiaodong Liu, Jeya Maria Jose Valanarasu, Noel C. F. Codella, Reuben Tan, Qianchu Liu, Ying Jin, Sheng Zhang, Jinyu Wang, Rui Wang, Lei Song, Guanghui Qin, Naoto Usuyama, Cliff Wong, Hao Cheng, Ho Hin Lee, Praneeth Sanapathi, Sarah Hilado, Jiang Bian, Javier Alvarez-Valle, Mu Wei, Khalil Malik, Jianfeng Gao, Eric Horvitz, Matthew P. Lungren, Hoifung Poon, Paul Vozila
2025 J jnl
X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains.
CoRR
Qianchu Liu, Sheng Zhang, Guanghui Qin, Timothy Ossowski, Yu Gu, Ying Jin, Sid Kiblawi, Sam Preston, Mu Wei, Paul Vozila, Tristan Naumann, Hoifung Poon
2024 J jnl
CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation.
CoRR
Abe Bohan Hou, Orion Weller, Guanghui Qin, Eugene Yang, Dawn J. Lawrie, Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme
2024 — conf
Dodo: Dynamic Contextual Compression for Decoder-only LMs.
ACL (1)
Guanghui Qin, Corby Rosset, Ethan C. Chau, Nikhil Rao, Benjamin Van Durme
2024 J jnl
Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for LLM Web Agents.
CoRR
Corby Rosset, Ho-Lam Chung, Guanghui Qin, Ethan C. Chau, Zhuo Feng, Ahmed Awadallah, Jennifer Neville, Nikhil Rao
2024 J jnl
Streaming Sequence Transduction through Dynamic Compression.
CoRR
Weiting Tan, Yunmo Chen, Tongfei Chen, Guanghui Qin, Haoran Xu, Heidi C. Zhang, Benjamin Van Durme, Philipp Koehn
2023 J jnl
Nugget 2D: Dynamic Contextual Compression for Scaling Decoder-only Language Models.
CoRR
Guanghui Qin, Corby Rosset, Ethan C. Chau, Nikhil Rao, Benjamin Van Durme
2023 A* conf
Nugget: Neural Agglomerative Embeddings of Text.
ICML
Guanghui Qin, Benjamin Van Durme
2023 J jnl
Nugget: Neural Agglomerative Embeddings of Text.
CoRR
Guanghui Qin, Benjamin Van Durme
2023 A conf
The NLP Task Effectiveness of Long-Range Transformers.
EACL
Guanghui Qin, Yukun Feng, Benjamin Van Durme
2022 J jnl
The NLP Task Effectiveness of Long-Range Transformers.
CoRR
Guanghui Qin, Yukun Feng, Benjamin Van Durme
2021 — conf
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction.
EMNLP (1)
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
2021 J jnl
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction.
CoRR
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
2021 J jnl
Iterative Paraphrastic Augmentation with Discriminative Span Alignment.
Trans. Assoc. Comput. Linguistics
Ryan Culkin, J. Edward Hu, Elias Stengel-Eskin, Guanghui Qin, Benjamin Van Durme
2021 — conf
LOME: Large Ontology Multilingual Extraction.
EACL (System Demonstrations)
Patrick Xia, Guanghui Qin, Siddharth Vashishtha, Yunmo Chen, Tongfei Chen, Chandler May, Craig Harman, Kyle Rawlins, Aaron Steven White, Benjamin Van Durme
2021 J jnl
LOME: Large Ontology Multilingual Extraction.
CoRR
Patrick Xia, Guanghui Qin, Siddharth Vashishtha, Yunmo Chen, Tongfei Chen, Chandler May, Craig Harman, Kyle Rawlins, Aaron Steven White, Benjamin Van Durme
2021 — conf
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts.
NAACL-HLT
Guanghui Qin, Jason Eisner
2021 J jnl
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts.
CoRR
Guanghui Qin, Jason Eisner
2020 — conf
CopyNext: Explicit Span Copying and Alignment in Sequence to Sequence Models.
SPNLP@EMNLP
Abhinav Singh, Patrick Xia, Guanghui Qin, Mahsa Yarmohammadi, Benjamin Van Durme
2020 J jnl
CopyNext: Explicit Span Copying and Alignment in Sequence to Sequence Models.
CoRR
Abhinav Singh, Patrick Xia, Guanghui Qin, Mahsa Yarmohammadi, Benjamin Van Durme
2020 J jnl
Iterative Paraphrastic Augmentation with Discriminative Span Alignment.
CoRR
Ryan Culkin, J. Edward Hu, Elias Stengel-Eskin, Guanghui Qin, Benjamin Van Durme
2020 A* conf
Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification.
ICML
Hongyuan Mei, Guanghui Qin, Minjie Xu, Jason Eisner
2020 J jnl
Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification.
CoRR
Hongyuan Mei, Guanghui Qin, Minjie Xu, Jason Eisner
2019 A* conf
Imputing Missing Events in Continuous-Time Event Streams.
ICML
Hongyuan Mei, Guanghui Qin, Jason Eisner
2019 J jnl
Imputing Missing Events in Continuous-Time Event Streams.
CoRR
Hongyuan Mei, Guanghui Qin, Jason Eisner
2018 — conf
Data2Text Studio: Automated Text Generation from Structured Data.
EMNLP (Demonstration)
Longxu Dou, Guanghui Qin, Jinpeng Wang, Jin-Ge Yao, Chin-Yew Lin
2018 A* conf
Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data.
EMNLP
Guanghui Qin, Jin-Ge Yao, Xuening Wang, Jinpeng Wang, Chin-Yew Lin