Publications

Flow of Reasoning: Efficient Training of LLM Policy with Divergent Thinking

Fangxu Yu, Lai Jiang, Haoqiang Kang, Shibo Hao, Lianhui Qin

ArXiv 2024

[paper][code]

WeatherQA: Can Multimodal Language Models Reason about Severe Weather?

Chengqian Ma, Zhanxiang Hua, Alexandra Anderson-Frey, Vikram Iyer, Xin Liu, Lianhui Qin

ArXiv 2024

[paper][code]

Capabilities of large language models in control engineering: A benchmark study on gpt-4, claude 3 opus, and gemini 1.0 ultra

Darioush Kevian, Usman Syed, Xingang Guo, Aaron Havens, Geir Dullerud, Peter Seiler, Lianhui Qin, Bin Hu

ArXiv 2024

[paper]

COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability

Xingang Guo, Fangxu Yu, Huan Zhang, Lianhui Qin, Bin Hu

ICML 2024

[paper][code]

Structured Chemistry Reasoning with Large Language Models

Siru Ouyang, Zhuosheng Zhang, Bing Yan, Xuan Liu, Jiawei Han, Lianhui Qin

ICML 2024

[paper][code]

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

NAACL 2024

[paper]

🍺 Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning

Ximing Lu, Faeze Brahman, Peter West, Jaehun Jang, Khyathi Chandu, Abhilasha Ravichander, Lianhui Qin, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Yuchen Lin, Skyler Hallinan, Xiang Ren, Sean Welleck, Yejin Choi

EMNLP 2023

[paper]

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

ACL 2023

[paper]

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Transactions on Machine Learning Research 2023

[paper][github]

COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics

Lianhui Qin,  Sean Welleck, Daniel Khashabi, Yejin Choi

NeurIPS 2022 -- Oral

[paper][slides]

Quark: Controllable Text Generation with Reinforced Unlearning

Ximing Lu, Sean Welleck, Liwei Jiang, Jack Hessel, Lianhui Qin, Peter West, Prithviraj Ammanabrolu, Yejin Choi

NeurIPS 2022 -- Oral

[paper]

Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations

Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras and Yejin Choi

EMNLP 2022 

[paper]

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 Smith, Yejin Choi

NAACL 2022 -- Best Paper Award

[paper]

Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts

Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang

ACL 2022 Findings

[paper]

PROMPT WAYWARDNESS: The Curious Case of Discretized Interpretation of Continuous Prompts

Daniel Khashabi, Shane Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sameer Singh, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Yejin Choi

NAACL 2022

[paper]

TIMEDIAL: Temporal Commonsense Reasoning in Dialog

Lianhui Qin, Aditya Gupta, Shyam Upadhyay, Luheng He, Yejin Choi and Manaal Faruqui

Association for Computational Linguistics (ACL 2021) 

[paper][slides]

TuringAdvice: A Generative and Dynamic Evaluation of Language Use

Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi

Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2021) 

[project page]

Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning (DeLorean)

Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi

Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)

[paper][code][slides][video]

Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach

Bowen Tan, Lianhui Qin, Eric Xing, Zhiting Hu

Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), short

[paper]

Social bias frames: Reasoning about social and power implications of language

Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A Smith, Yejin Choi

Association for Computational Linguistics (ACL 2020) 

[paper][data]  --- Best paper at WeCNLP 2020

Counterfactual Story Reasoning and Generation

Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark and Yejin Choi

Conference on Empirical Methods in Natural Language Processing (EMNLP 2019)

[paper][code & data][slides]

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 and Jianfeng Gao

Association for Computational Linguistics (ACL 2019) 

[paper][code & data]

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, Wangrong Zhu, Devendra Singh Sachan, Eric P. Xing 

Association for Computational Linguistics (ACL 2018), demo

[paper][website] [code]Best (demo) paper nomination 

Automatic Article Commenting: A Preliminary Study 

Lianhui Qin, Lemao Liu, Wei Bi, Yan Wang, Xiaojiang Liu, Hai Zhao, Zhiting Hu, and Shuming Shi

Association for Computational Linguistics (ACL 2018), short

[paper][data]

Deep generative models with learnable knowledge constraints

Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Xiaodan Liang, Lianhui Qin, Haoye Dong, and Eric P. Xing

Neural Information Processing Systems  (NeurIPS 2018), long

[paper]

Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification 

Lianhui Qin,  Zhisong Zhang,  Hai Zhao, Zhiting Hu and Eric P. Xing

Association for Computational Linguistics (ACL 2017), long oral

[paper][code]

A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification

Lianhui Qin, Zhisong Zhang and Hai Zhao

Conference on Empirical Methods in Natural Language Processing (EMNLP 2016), short oral

[paper] 

Probabilistic graph-based dependency parsing with convolutional neural network

Zhisong Zhang and Hai Zhao, Lianhui Qin

Association for Computational Linguistics  (ACL 2016), long

[paper] [code]

Implicit Discourse Relation Recognition with Context-aware Character-enhanced Embeddings 

Lianhui Qin, Zhisong Zhang and Hai Zhao

Computational Linguistics (COLING 2016), long

[paper][code]

Shallow Discourse Parsing Using Convolutional Neural Network

Lianhui Qin, Zhisong Zhang and Hai Zhao

Conference on Computational Natural Language Learning (CoNLL 2016), shared task

[paper] [code]