Qian Liu

According to our database, Qian Liu authored at least 105 papers between 2019 and 2026.

Collaborative distances:

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

2026

The Optimal Token Baseline: Variance Reduction for Long-Horizon LLM-RL.

Yingru Li, Jiawei Xu, Ziniu Li, Jiacai Liu, Wei Liu, Yuxuan Tong, Longtao Zheng, Zhenghai Xue, Yaxiang Zhang, Tianle Cai, Ge Zhang, Qian Liu, Baoxiang Wang

CoRR, February, 2026

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations.

Wei Liu, Jiawei Xu, Yingru Li, Longtao Zheng, Tianjian Li, Qian Liu, Junxian He

CoRR, February, 2026

History Doesn't Repeat Itself but Rollouts Rhyme: Accelerating Reinforcement Learning with RhymeRL.

Jingkai He, Tianjian Li, Erhu Feng, Dong Du, Qian Liu, Tao Liu, Yubin Xia, Haibo Chen

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

How Can Synthetic Data Improve Multilingual Language Model Pretraining? A Data Quality Perspective.

Tongyao Zhu, Qian Liu, Chang Ma, Jinghan Zhang, Longxu Dou, Junxian He, Shiqi Chen

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Taming the Tail: Stable LLM Reinforcement Learning via Dynamic Vocabulary Pruning.

Yingru Li, Jiawei Xu, Jiacai Liu, Yuxuan Tong, Ziniu Li, Tianle Cai, Ge Zhang, Qian Liu, Baoxiang Wang

CoRR, December, 2025

NL2Repo-Bench: Towards Long-Horizon Repository Generation Evaluation of Coding Agents.

Jingzhe Ding, Shengda Long, Changxin Pu, Huan Zhou, Hongwan Gao, Xiang Gao, Chao He, Yue Hou, Fei Hu, Zhaojian Li, Weiran Shi, Zaiyuan Wang, Daoguang Zan, Chenchen Zhang, Xiaoxu Zhang, Qizhi Chen, Xianfu Cheng, Bo Deng, Qingshui Gu, Kai Hua, Juntao Lin, Pai Liu, Mingchen Li, Xuanguang Pan, Zifan Peng, Yujia Qin, Yong Shan, Zhewen Tan, Weihao Xie, Zihan Wang, Yishuo Yuan, Jiayu Zhang, Enduo Zhao, Yunfei Zhao, He Zhu, Chenyang Zou, Ming Ding, Jianpeng Jiao, Jiaheng Liu, Minghao Liu, Qian Liu, Chongyao Tao, Jian Yang, Tong Yang, Zhaoxiang Zhang, Xinjie Chen, Wenhao Huang, Ge Zhang

CoRR, December, 2025

DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle.

Fangyu Lei, Jinxiang Meng, Yiming Huang, Junjie Zhao, Yitong Zhang, Jianwen Luo, Xin Zou, Ruiyi Yang, Wenbo Shi, Yan Gao, Shizhu He, Zuo Wang, Qian Liu, Yang Wang, Ke Wang, Jun Zhao, Kang Liu

CoRR, December, 2025

Diffusion Language Models are Super Data Learners.

Jinjie Ni, Qian Liu, Longxu Dou, Chao Du, Zili Wang, Hang Yan, Tianyu Pang, Michael Qizhe Shieh

CoRR, November, 2025

MPFToD: a modularized pre-training framework for consistency identification in task-oriented dialogue.

Libo Qin, Shijue Huang, Qiguang Chen, Qian Liu, Wanxiang Che, Ruifeng Xu

Frontiers Comput. Sci., October, 2025

BigCodeArena: Unveiling More Reliable Human Preferences in Code Generation via Execution.

Terry Yue Zhuo, Xiaolong Jin, Hange Liu, Juyong Jiang, Tianyang Liu, Chen Gong, Bhupesh Bishnoi, Vaisakhi Mishra, Marek Suppa, Noah Ziems, Saiteja Utpala, Ming Xu, Guangyu Song, Kaixin Li, Yuhan Cao, Bo Liu, Zheng Liu, Sabina Abdurakhmanova, Wenhao Yu, Mengzhao Jia, Jihan Yao, Kenneth Hamilton, Kumar Shridhar, Minh Chien Vu, Dingmin Wang, Jiawei Liu, Zijian Wang, Qian Liu, Binyuan Hui, Meg Risdal, Ahsen Khaliq, Atin Sood, Zhenchang Xing, Wasi Uddin Ahmad, John Grundy, David Lo, Banghua Zhu, Xiaoning Du, Torsten Scholak, Leandro von Werra

CoRR, October, 2025

Training Optimal Large Diffusion Language Models.

Jinjie Ni, Qian Liu, Chao Du, Longxu Dou, Hang Yan, Zili Wang, Tianyu Pang, Michael Qizhe Shieh

CoRR, October, 2025

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning.

Zhenghai Xue, Longtao Zheng, Qian Liu, Yingru Li, Xiaosen Zheng, Zejun Ma, Bo An

CoRR, September, 2025

History Rhymes: Accelerating LLM Reinforcement Learning with RhymeRL.

Jingkai He, Tianjian Li, Erhu Feng, Dong Du, Qian Liu, Tao Liu, Yubin Xia, Haibo Chen

CoRR, August, 2025

TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling.

Yizhi Li, Qingshui Gu, Zhoufutu Wen, Ziniu Li, Tianshun Xing, Shuyue Guo, Tianyu Zheng, Xin Zhou, Xingwei Qu, Wangchunshu Zhou, Zheng Zhang, Wei Shen, Qian Liu, Chenghua Lin, Jian Yang, Ge Zhang, Wenhao Huang

CoRR, August, 2025

SWE-Perf: Can Language Models Optimize Code Performance on Real-World Repositories?

Xinyi He, Qian Liu, Mingzhe Du, Lin Yan, Zhijie Fan, Yiming Huang, Zejian Yuan, Zejun Ma

CoRR, July, 2025

First Return, Entropy-Eliciting Explore.

Tianyu Zheng, Tianshun Xing, Qingshui Gu, Taoran Liang, Xingwei Qu, Xin Zhou, Yizhi Li, Zhoufutu Wen, Chenghua Lin, Wenhao Huang, Qian Liu, Ge Zhang, Zejun Ma

CoRR, July, 2025

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization.

Mingzhe Du, Luu Tuan Tuan, Yue Liu, Yuhao Qing, Dong Huang, Xinyi He, Qian Liu, Zejun Ma, See-Kiong Ng

CoRR, May, 2025

General-Reasoner: Advancing LLM Reasoning Across All Domains.

Xueguang Ma, Qian Liu, Dongfu Jiang, Ge Zhang, Zejun Ma, Wenhu Chen

CoRR, May, 2025

SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild.

Weihao Zeng, Yuzhen Huang, Qian Liu, Wei Liu, Keqing He, Zejun Ma, Junxian He

CoRR, March, 2025

CodeArena: A Collective Evaluation Platform for LLM Code Generation.

Mingzhe Du, Anh Tuan Luu, Bin Ji, Xiaobao Wu, Dong Huang, Terry Yue Zhuo, Qian Liu, See-Kiong Ng

CoRR, March, 2025

Tutorial Proposal: Speculative Decoding for Efficient LLM Inference.

Heming Xia, Cunxiao Du, Yongqi Li, Qian Liu, Wenjie Li

CoRR, March, 2025

Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLMs.

Longxu Dou, Qian Liu, Fan Zhou, Changyu Chen, Zili Wang, Ziqi Jin, Zichen Liu, Tongyao Zhu, Cunxiao Du, Penghui Yang, Haonan Wang, Jiaheng Liu, Yongchi Zhao, Xiachong Feng, Xin Mao, Man Tsung Yeung, Kunat Pipatanakul, Fajri Koto, Min Si Thu, Hynek Kydlícek, Zeyi Liu, Qunshu Lin, Sittipong Sripaisarnmongkol, Kridtaphad Sae-Khow, Nirattisai Thongchim, Taechawat Konkaew, Narong Borijindargoon, Anh Dao, Matichon Maneegard, Phakphum Artkaew, Zheng-Xin Yong, Quan Nguyen, Wannaphong Phatthiyaphaibun, Hoang H. Tran, Mike Zhang, Shiqi Chen, Tianyu Pang, Chao Du, Xinyi Wan, Wei Lu, Min Lin

CoRR, February, 2025

When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training.

Haonan Wang, Qian Liu, Chao Du, Tongyao Zhu, Cunxiao Du, Kenji Kawaguchi, Tianyu Pang

Trans. Mach. Learn. Res., 2025

SkyLadder: Better and Faster Pretraining via Context Window Scheduling.

Tongyao Zhu, Qian Liu, Haonan Wang, Shiqi Chen, Xiangming Gu, Tianyu Pang, Min-Yen Kan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

ZeCO: Zero-Communication Overhead Sequence Parallelism for Linear Attention.

Yuhong Chou, Zehao Liu, Rui-Jie Zhu, Xinyi Wan, Tianjian Li, Congying Chu, Qian Liu, Jibin Wu, Zejun Ma

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale.

Fan Zhou, Zengzhi Wang, Qian Liu, Junlong Li, Pengfei Liu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Predictive Data Selection: The Data That Predicts Is the Data That Teaches.

KaShun Shum, Yuzhen Huang, Hongjian Zou, Qi Ding, Yixuan Liao, Xiaoxin Chen, Qian Liu, Junxian He

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Improving Your Model Ranking on Chatbot Arena by Vote Rigging.

Rui Min, Tianyu Pang, Chao Du, Qian Liu, Minhao Cheng, Min Lin

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Unnatural Languages Are Not Bugs but Features for LLMs.

Keyu Duan, Yiran Zhao, Zhili Feng, Jinjie Ni, Tianyu Pang, Qian Liu, Tianle Cai, Longxu Dou, Kenji Kawaguchi, Anirudh Goyal, J. Zico Kolter, Michael Qizhe Shieh

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates.

Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Scaling up Masked Diffusion Models on Text.

Shen Nie, Fengqi Zhu, Chao Du, Tianyu Pang, Qian Liu, Guangtao Zeng, Min Lin, Chongxuan Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

RegMix: Data Mixture as Regression for Language Model Pre-training.

Qian Liu, Xiaosen Zheng, Niklas Muennighoff, Guangtao Zeng, Longxu Dou, Tianyu Pang, Jing Jiang, Min Lin

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows.

Fangyu Lei, Jixuan Chen, Yuxiao Ye, Ruisheng Cao, Dongchan Shin, Hongjin Su, Zhaoqing Suo, Hongcheng Gao, Wenjing Hu, Pengcheng Yin, Victor Zhong, Caiming Xiong, Ruoxi Sun, Qian Liu, Sida Wang, Tao Yu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

When Attention Sink Emerges in Language Models: An Empirical View.

Xiangming Gu, Tianyu Pang, Chao Du, Qian Liu, Fengzhuo Zhang, Cunxiao Du, Ye Wang, Min Lin

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Bootstrapping Language Models with DPO Implicit Rewards.

Changyu Chen, Zichen Liu, Chao Du, Tianyu Pang, Qian Liu, Arunesh Sinha, Pradeep Varakantham, Min Lin

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

NLP+Code: Code Intelligence in Language Models.

Terry Yue Zhuo, Qian Liu, Zijian Wang, Wasi Uddin Ahmad, Binyuan Hui, Loubna Ben Allal

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Sparse-to-Dense: A Free Lunch for Lossless Acceleration of Video Understanding in LLMs.

Xuan Zhang, Cunxiao Du, Sicheng Yu, Jiawei Wu, Fengzhuo Zhang, Wei Gao, Qian Liu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2025

OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models.

Siming Huang, Tianhao Cheng, Jason Klein Liu, Weidi Xu, Jiaran Hao, Liuyihan Song, Yang Xu, Jian Yang, Jiaheng Liu, Chenchen Zhang, Linzheng Chai, Ruifeng Yuan, Xianzhen Luo, Qiufeng Wang, YuanTao Fan, Qingfu Zhu, Zhaoxiang Zhang, Yang Gao, Jie Fu, Qian Liu, Houyi Li, Ge Zhang, Yuan Qi, Yinghui Xu, Wei Chu, Zili Wang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

CodeArena: A Collective Evaluation Platform for LLM Code Generation.

Mingzhe Du, Anh Tuan Luu, Bin Ji, Xiaobao Wu, Yuhao Qing, Dong Huang, Terry Yue Zhuo, Qian Liu, See-Kiong Ng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2025

2024

Mantis: Interleaved Multi-Image Instruction Tuning.

Dongfu Jiang, Xuan He, Huaye Zeng, Cong Wei, Max Ku, Qian Liu, Wenhu Chen

Trans. Mach. Learn. Res., 2024

OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models.

Siming Huang, Tianhao Cheng, Jason Klein Liu, Jiaran Hao, Liuyihan Song, Yang Xu, J. Yang, J. H. Liu, Chenchen Zhang, Linzheng Chai, Ruifeng Yuan, Zhaoxiang Zhang, Jie Fu, Qian Liu, Ge Zhang, Zili Wang, Yuan Qi, Yinghui Xu, Wei Chu

CoRR, 2024

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.

Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen Gong, Thong Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, Naman Jain, Alex Gu, Zhoujun Cheng, Jiawei Liu, Qian Liu, Zijian Wang, David Lo, Binyuan Hui, Niklas Muennighoff, Daniel Fried, Xiaoning Du, Harm de Vries, Leandro von Werra

CoRR, 2024

Sailor: Open Language Models for South-East Asia.

Longxu Dou, Qian Liu, Guangtao Zeng, Jia Guo, Jiahui Zhou, Wei Lu, Min Lin

CoRR, 2024

StarCoder 2 and The Stack v2: The Next Generation.

Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, Tianyang Liu, Max Tian, Denis Kocetkov, Arthur Zucker, Younes Belkada, Zijian Wang, Qian Liu, Dmitry Abulkhanov, Indraneil Paul, Zhuang Li, Wen-Ding Li, Megan Risdal, Jia Li, Jian Zhu, Terry Yue Zhuo, Evgenii Zheltonozhskii, Nii Osae Osae Dade, Wenhao Yu, Lucas Krauß, Naman Jain, Yixuan Su, Xuanli He, Manan Dey, Edoardo Abati, Yekun Chai, Niklas Muennighoff, Xiangru Tang, Muhtasham Oblokulov, Christopher Akiki, Marc Marone, Chenghao Mou, Mayank Mishra, Alex Gu, Binyuan Hui, Tri Dao, Armel Zebaze, Olivier Dehaene, Nicolas Patry, Canwen Xu, Julian J. McAuley, Han Hu, Torsten Scholak, Sébastien Paquet, Jennifer Robinson, Carolyn Jane Anderson, Nicolas Chapados, et al.

CoRR, 2024

Purifying Large Language Models by Ensembling a Small Language Model.

Tianlin Li, Qian Liu, Tianyu Pang, Chao Du, Qing Guo, Yang Liu, Min Lin

CoRR, 2024

ARKS: Active Retrieval in Knowledge Soup for Code Generation.

Hongjin Su, Shuyang Jiang, Yuhang Lai, Haoyuan Wu, Boao Shi, Che Liu, Qian Liu, Tao Yu

CoRR, 2024

Your Large Language Model is Secretly a Fairness Proponent and You Should Prompt it Like One.

Tianlin Li, Xiaoyu Zhang, Chao Du, Tianyu Pang, Qian Liu, Qing Guo, Chao Shen, Yang Liu

CoRR, 2024

Test-Time Backdoor Attacks on Multimodal Large Language Models.

Dong Lu, Tianyu Pang, Chao Du, Qian Liu, Xianjun Yang, Min Lin

CoRR, 2024

Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models.

Terry Yue Zhuo, Armel Zebaze, Nitchakarn Suppattarachai, Leandro von Werra, Harm de Vries, Qian Liu, Niklas Muennighoff

CoRR, 2024

Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses.

Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.

Xuan Zhang, Chao Du, Tianyu Pang, Qian Liu, Wei Gao, Min Lin

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies.

Chaofan Tao, Qian Liu, Longxu Dou, Niklas Muennighoff, Zhongwei Wan, Ping Luo, Min Lin, Ngai Wong

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Mercury: A Code Efficiency Benchmark for Code Large Language Models.

Mingzhe Du, Anh Tuan Luu, Bin Ji, Qian Liu, See-Kiong Ng

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?

Ruisheng Cao, Fangyu Lei, Haoyuan Wu, Jixuan Chen, Yeqiao Fu, Hongcheng Gao, Xinzhuang Xiong, Hanchong Zhang, Wenjing Hu, Yuchen Mao, Tianbao Xie, Hongshen Xu, Danyang Zhang, Sida I. Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, Tao Yu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Model.

Fangyu Lei, Qian Liu, Yiming Huang, Shizhu He, Jun Zhao, Kang Liu

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast.

Xiangming Gu, Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Ye Wang, Jing Jiang, Min Lin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Lemur: Harmonizing Natural Language and Code for Language Agents.

Yiheng Xu, Hongjin Su, Chen Xing, Boyu Mi, Qian Liu, Weijia Shi, Binyuan Hui, Fan Zhou, Yitao Liu, Tianbao Xie, Zhoujun Cheng, Siheng Zhao, Lingpeng Kong, Bailin Wang, Caiming Xiong, Tao Yu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

OctoPack: Instruction Tuning Code Large Language Models.

Niklas Muennighoff, Qian Liu, Armel Randy Zebaze, Qinkai Zheng, Binyuan Hui, Terry Yue Zhuo, Swayam Singh, Xiangru Tang, Leandro von Werra, Shayne Longpre

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DataTales: A Benchmark for Real-World Intelligent Data Narration.

Yajing Yang, Qian Liu, Min-Yen Kan

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

EvoR: Evolving Retrieval for Code Generation.

Hongjin Su, Shuyang Jiang, Yuhang Lai, Haoyuan Wu, Boao Shi, Che Liu, Qian Liu, Tao Yu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Sailor: Open Language Models for South-East Asia.

Longxu Dou, Qian Liu, Guangtao Zeng, Jia Guo, Jiahui Zhou, Xin Mao, Ziqi Jin, Wei Lu, Min Lin

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Beyond Memorization: The Challenge of Random Memory Access in Language Models.

Tongyao Zhu, Qian Liu, Liang Pang, Zhengbao Jiang, Min-Yen Kan, Min Lin

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

Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning.

Zhaorui Yang, Tianyu Pang, Haozhe Feng, Han Wang, Wei Chen, Minfeng Zhu, Qian Liu

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

2023

StarCoder: may the source be with you!

Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason T. Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries

Trans. Mach. Learn. Res., 2023

S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Models.

Fangyu Lei, Qian Liu, Yiming Huang, Shizhu He, Jun Zhao, Kang Liu

CoRR, 2023

OpenAgents: An Open Platform for Language Agents in the Wild.

Tianbao Xie, Fan Zhou, Zhoujun Cheng, Peng Shi, Luoxuan Weng, Yitao Liu, Toh Jing Hua, Junning Zhao, Qian Liu, Che Liu, Leo Z. Liu, Yiheng Xu, Hongjin Su, Dongchan Shin, Caiming Xiong, Tao Yu

CoRR, 2023

SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning.

Keyu Duan, Qian Liu, Tat-Seng Chua, Shuicheng Yan, Wei Tsang Ooi, Qizhe Xie, Junxian He

CoRR, 2023

LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition.

Chengsong Huang, Qian Liu, Bill Yuchen Lin, Tianyu Pang, Chao Du, Min Lin

CoRR, 2023

Generative Table Pre-training Empowers Models for Tabular Prediction.

Tianping Zhang, Shaowen Wang, Shuicheng Yan, Jian Li, Qian Liu

CoRR, 2023

From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning.

Qian Liu, Fan Zhou, Zhengbao Jiang, Longxu Dou, Min Lin

CoRR, 2023

SantaCoder: don't reach for the stars!

Loubna Ben Allal, Raymond Li, Denis Kocetkov, Chenghao Mou, Christopher Akiki, Carlos Muñoz Ferrandis, Niklas Muennighoff, Mayank Mishra, Alex Gu, Manan Dey, Logesh Kumar Umapathi, Carolyn Jane Anderson, Yangtian Zi, Joel Lamy-Poirier, Hailey Schoelkopf, Sergey Troshin, Dmitry Abulkhanov, Manuel Romero, Michael Lappert, Francesco De Toni, Bernardo García del Río, Qian Liu, Shamik Bose, Urvashi Bhattacharyya, Terry Yue Zhuo, Ian Yu, Paulo Villegas, Marco Zocca, Sourab Mangrulkar, David Lansky, Huu Nguyen, Danish Contractor, Luis Villa, Jia Li, Dzmitry Bahdanau, Yacine Jernite, Sean Hughes, Daniel Fried, Arjun Guha, Harm de Vries, Leandro von Werra

CoRR, 2023

OpenFE: Automated Feature Generation with Expert-level Performance.

Tianping Zhang, Zheyu Aqa Zhang, Zhiyuan Fan, Haoyan Luo, Fengyuan Liu, Qian Liu, Wei Cao, Li Jian

Proceedings of the International Conference on Machine Learning, 2023

Bag of Tricks for Training Data Extraction from Language Models.

Weichen Yu, Tianyu Pang, Qian Liu, Chao Du, Bingyi Kang, Yan Huang, Min Lin, Shuicheng Yan

Proceedings of the International Conference on Machine Learning, 2023

Learning on Large-scale Text-attributed Graphs via Variational Inference.

Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Generative Table Pre-training Empowers Models for Tabular Prediction.

Tianping Zhang, Shaowen Wang, Shuicheng Yan, Li Jian, Qian Liu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables.

Xinyuan Lu, Liangming Pan, Qian Liu, Preslav Nakov, Min-Yen Kan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Active Retrieval Augmented Generation.

Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Reasoning Implicit Sentiment with Chain-of-Thought Prompting.

Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li, Tat-Seng Chua

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

On Grounded Planning for Embodied Tasks with Language Models.

Bill Yuchen Lin, Chengsong Huang, Qian Liu, Wenda Gu, Sam Sommerer, Xiang Ren

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Reflection of Thought: Inversely Eliciting Numerical Reasoning in Language Models via Solving Linear Systems.

Fan Zhou, Haoyu Dong, Qian Liu, Zhoujun Cheng, Shi Han, Dongmei Zhang

CoRR, 2022

Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models.

Shengnan An, Yifei Li, Zeqi Lin, Qian Liu, Bei Chen, Qiang Fu, Weizhu Chen, Nanning Zheng, Jian-Guang Lou

CoRR, 2022

LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training.

Qi Shi, Qian Liu, Bei Chen, Yu Zhang, Ting Liu, Jian-Guang Lou

CoRR, 2022

Reasoning over Hybrid Chain for Table-and-Text Open Domain QA.

Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan

CoRR, 2022

Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering.

Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

TAPEX: Table Pre-training via Learning a Neural SQL Executor.

Qian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi, Zeqi Lin, Weizhu Chen, Jian-Guang Lou

Proceedings of the Tenth International Conference on Learning Representations, 2022

Reasoning Like Program Executors.

Xinyu Pi, Qian Liu, Bei Chen, Morteza Ziyadi, Zeqi Lin, Qiang Fu, Yan Gao, Jian-Guang Lou, Weizhu Chen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Exploring the Secrets Behind the Learning Difficulty of Meaning Representations for Semantic Parsing.

Zhenwen Li, Jiaqi Guo, Qian Liu, Jian-Guang Lou, Tao Xie

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA.

Junjie Huang, Wanjun Zhong, Qian Liu, Ming Gong, Daxin Jiang, Nan Duan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training.

Qi Shi, Qian Liu, Bei Chen, Yu Zhang, Ting Liu, Jian-Guang Lou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

CGIM: A Cycle Guided Interactive Learning Model for Consistency Identification in Task-oriented Dialogue.

Libo Qin, Qiguang Chen, Tianbao Xie, Qian Liu, Shijue Huang, Wanxiang Che, Zhou Yu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Keep the Structure: A Latent Shift-Reduce Parser for Semantic Parsing.

Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing.

Qian Liu, Dejian Yang, Jiahui Zhang, Jiaqi Guo, Bin Zhou, Jian-Guang Lou

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Learning Algebraic Recombination for Compositional Generalization.

Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Chase: A Large-Scale and Pragmatic Chinese Dataset for Cross-Database Context-Dependent Text-to-SQL.

Jiaqi Guo, Ziliang Si, Yu Wang, Qian Liu, Ming Fan, Jian-Guang Lou, Zijiang Yang, Ting Liu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question Answering.

Shuang Chen, Qian Liu, Zhiwei Yu, Chin-Yew Lin, Jian-Guang Lou, Feng Jiang

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Compositional Generalization by Learning Analytical Expressions.

Qian Liu, Shengnan An, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, Dongmei Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

RECPARSER: A Recursive Semantic Parsing Framework for Text-to-SQL Task.

Yu Zeng, Yan Gao, Jiaqi Guo, Bei Chen, Qian Liu, Jian-Guang Lou, Fei Teng, Dongmei Zhang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context.

Qian Liu, Bei Chen, Jiaqi Guo, Jian-Guang Lou, Bin Zhou, Dongmei Zhang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Incomplete Utterance Rewriting as Semantic Segmentation.

Qian Liu, Bei Chen, Jian-Guang Lou, Bin Zhou, Dongmei Zhang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

"What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL.

Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Benchmarking Meaning Representations in Neural Semantic Parsing.

Jiaqi Guo, Qian Liu, Jian-Guang Lou, Zhenwen Li, Xueqing Liu, Tao Xie, Ting Liu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

You Impress Me: Dialogue Generation via Mutual Persona Perception.

Qian Liu, Yihong Chen, Bei Chen, Jian-Guang Lou, Zixuan Chen, Bin Zhou, Dongmei Zhang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Leveraging Adjective-Noun Phrasing Knowledge for Comparison Relation Prediction in Text-to-SQL.

Haoyan Liu, Lei Fang, Qian Liu, Bei Chen, Jian-Guang Lou, Zhoujun Li

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Split-and-Recombine Approach for Follow-up Query Analysis.

Qian Liu, Bei Chen, Haoyan Liu, Jian-Guang Lou, Lei Fang, Bin Zhou, Dongmei Zhang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

FANDA: A Novel Approach to Perform Follow-Up Query Analysis.

Qian Liu, Bei Chen, Jian-Guang Lou, Ge Jin, Dongmei Zhang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019