Lianhui Qin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
6
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | C-World: A Computer Use Agent Environment Creator. | Ziqiao Xi, Shuang Liang, Qi Liu, Jiaqing Zhang, Letian Peng, Fang Nan, Meshal Nayim, Tianhui Zhang, Rishika Mundada, Lianhui Qin, Biwei Huang, Kun Zhou |
| 2025 | ACL | Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation. | Qiyue Gao, Xinyu Pi, Kevin Liu, Junrong Chen, Ruolan Yang, Xinqi Huang, Xinyu Fang, Lu Sun, Gautham Kishore, Bo Ai, Stone Tao, Mengyang Liu, Jiaxi Yang, Chao-Jung Lai, Chuanyang Jin, Jiannan Xiang, Benhao Huang, Zeming Chen, David Danks, Hao Su, Tianmin Shu, Ziqiao Ma, Lianhui Qin, Zhiting Hu |
| 2025 | ICML | Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples. | Fangxu Yu, Lai Jiang, Haoqiang Kang, Shibo Hao, Lianhui Qin |
| 2024 | ICML | COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability. | Xingang Guo, Fangxu Yu, Huan Zhang, Lianhui Qin, Bin Hu |
| 2024 | ICML | Structured Chemistry Reasoning with Large Language Models. | Siru Ouyang, Zhuosheng Zhang, Bing Yan, Xuan Liu, Yejin Choi, Jiawei Han, Lianhui Qin |
| 2024 | NAACL | MacGyver: Are Large Language Models Creative Problem Solvers? | Yufei Tian, Abhilasha Ravichander, Lianhui Qin, Ronan Le Bras, Raja Marjieh, Nanyun Peng, Yejin Choi, Thomas L. Griffiths, Faeze Brahman |
| 2023 | ACL | I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation. | Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Lianhui Qin, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi |
| 2023 | EMNLP | Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. | Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Raghavi Chandu, Abhilasha Ravichander, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Y. Lin, Skyler Hallinan, Lianhui Qin, Xiang Ren, Sean Welleck, Yejin Choi |
| 2022 | ACL | Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts. | Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang |
| 2022 | EMNLP | Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations. | Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi |
| 2022 | NAACL | Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts. | Daniel Khashabi, Xinxi Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Sameer Singh, Yejin Choi |
| 2022 | NAACL | NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. | Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, Yejin Choi |
| 2021 | ACL | TIMEDIAL: Temporal Commonsense Reasoning in Dialog. | Lianhui Qin, Aditya Gupta, Shyam Upadhyay, Luheng He, Yejin Choi, Manaal Faruqui |
| 2021 | NAACL | TuringAdvice: A Generative and Dynamic Evaluation of Language Use. | Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi |
| 2020 | ACL | Social Bias Frames: Reasoning about Social and Power Implications of Language. | Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, Yejin Choi |
| 2020 | EMNLP | Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning. | Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D. Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi |
| 2020 | EMNLP | Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach. | Bowen Tan, Lianhui Qin, Eric P. Xing, Zhiting Hu |
| 2019 | ACL | Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. | Zhiting Hu, Haoran Shi, Bowen Tan, Wentao Wang, Zichao Yang, Tiancheng Zhao, Junxian He, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing |
| 2019 | ACL | 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 |
| 2019 | EMNLP | Counterfactual Story Reasoning and Generation. | Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi |
| 2018 | ACL | Automatic Article Commenting: the Task and Dataset. | Lianhui Qin, Lemao Liu, Victoria Bi, Yan Wang, Xiaojiang Liu, Zhiting Hu, Hai Zhao, Shuming Shi |
| 2017 | ACL | Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification. | Lianhui Qin, Zhisong Zhang, Hai Zhao, Zhiting Hu, Eric P. Xing |
| 2016 | ACL | Probabilistic Graph-based Dependency Parsing with Convolutional Neural Network. | Zhisong Zhang, Hai Zhao, Lianhui Qin |
| 2016 | COLING | Implicit Discourse Relation Recognition with Context-aware Character-enhanced Embeddings. | Lianhui Qin, Zhisong Zhang, Hai Zhao |
| 2016 | CoNLL | Shallow Discourse Parsing Using Convolutional Neural Network. | Lianhui Qin, Zhisong Zhang, Hai Zhao |
| 2016 | EMNLP | A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification. | Lianhui Qin, Zhisong Zhang, Hai Zhao |