Wang, Bailin

15 publications

NeurIPS 2024 Bias Amplification in Language Model Evolution: An Iterated Learning Perspective Yi Ren, Shangmin Guo, Linlu Qiu, Bailin Wang, Danica J. Sutherland

ICML 2024 Gated Linear Attention Transformers with Hardware-Efficient Training Songlin Yang, Bailin Wang, Yikang Shen, Rameswar Panda, Yoon Kim

NeurIPS 2024 Gated Slot Attention for Efficient Linear-Time Sequence Modeling Yu Zhang, Songlin Yang, Ruijie Zhu, Yue Zhang, Leyang Cui, Yiqiao Wang, Bolun Wang, Freda Shi, Bailin Wang, Wei Bi, Peng Zhou, Guohong Fu

ICLR 2024 GenSim: Generating Robotic Simulation Tasks via Large Language Models Lirui Wang, Yiyang Ling, Zhecheng Yuan, Mohit Shridhar, Chen Bao, Yuzhe Qin, Bailin Wang, Huazhe Xu, Xiaolong Wang

ICML 2024 In-Context Language Learning: Architectures and Algorithms Ekin Akyürek, Bailin Wang, Yoon Kim, Jacob Andreas

ICLR 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

NeurIPS 2024 MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs Zhongshen Zeng, Yinhong Liu, Yingjia Wan, Jingyao Li, Pengguang Chen, Jianbo Dai, Yuxuan Yao, Rongwu Xu, Zehan Qi, Wanru Zhao, Linling Shen, Jianqiao Lu, Haochen Tan, Yukang Chen, Hao Zhang, Zhan Shi, Bailin Wang, Zhijiang Guo, Jiaya Jia

NeurIPS 2024 Parallelizing Linear Transformers with the Delta Rule over Sequence Length Songlin Yang, Bailin Wang, Yu Zhang, Yikang Shen, Yoon Kim

ICLR 2024 Phenomenal yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren

NeurIPS 2023 Can LLM Already Serve as a Database Interface? a BIg Bench for Large-Scale Database Grounded Text-to-SQLs Jinyang Li, Binyuan Hui, Ge Qu, Jiaxi Yang, Binhua Li, Bowen Li, Bailin Wang, Bowen Qin, Ruiying Geng, Nan Huo, Xuanhe Zhou, Ma Chenhao, Guoliang Li, Kevin Chang, Fei Huang, Reynold Cheng, Yongbin Li

AAAI 2023 Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract) Daking Rai, Yilun Zhou, Bailin Wang, Ziyu Yao

NeurIPS 2023 Grammar Prompting for Domain-Specific Language Generation with Large Language Models Bailin Wang, Zi Wang, Xuezhi Wang, Yuan Cao, Rif A. Saurous, Yoon Kim

ICLR 2021 GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing Tao Yu, Chien-Sheng Wu, Xi Victoria Lin, Bailin Wang, Yi Chern Tan, Xinyi Yang, Dragomir Radev, Richard Socher, Caiming Xiong

NeurIPS 2021 Structured Reordering for Modeling Latent Alignments in Sequence Transduction Bailin Wang, Mirella Lapata, Ivan Titov

AAAI 2018 Learning Latent Opinions for Aspect-Level Sentiment Classification Bailin Wang, Wei Lu