Bailin Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
8
Active years
2018–2024
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ACL | Learning to Decode Collaboratively with Multiple Language Models. | Zejiang Shen, Hunter Lang, Bailin Wang, Yoon Kim, David A. Sontag |
| 2024 | ACL | Iterative Forward Tuning Boosts In-Context Learning in Language Models. | Jiaxi Yang, Binyuan Hui, Min Yang, Bailin Wang, Bowen Li, Binhua Li, Fei Huang, Yongbin Li |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICML | In-Context Language Learning: Architectures and Algorithms. | Ekin Akyrek, Bailin Wang, Yoon Kim, Jacob Andreas |
| 2024 | ICML | Gated Linear Attention Transformers with Hardware-Efficient Training. | Songlin Yang, Bailin Wang, Yikang Shen, Rameswar Panda, Yoon Kim |
| 2024 | NAACL | Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks. | Zhaofeng Wu, Linlu Qiu, Alexis Ross, Ekin Akyrek, Boyuan Chen, Bailin Wang, Najoung Kim, Jacob Andreas, Yoon Kim |
| 2023 | AAAI | Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract). | Daking Rai, Yilun Zhou, Bailin Wang, Ziyu Yao |
| 2023 | ACL | Improving Generalization in Language Model-based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-based Techniques. | Daking Rai, Bailin Wang, Yilun Zhou, Ziyu Yao |
| 2023 | EMNLP | An Investigation of LLMs' Inefficacy in Understanding Converse Relations. | Chengwen Qi, Bowen Li, Binyuan Hui, Bailin Wang, Jinyang Li, Jinwang Wu, Yuanjun Laili |
| 2023 | EMNLP | Explain-then-translate: an analysis on improving program translation with self-generated explanations. | Zilu Tang, Mayank Agarwal, Alexander Shypula, Bailin Wang, Derry Wijaya, Jie Chen, Yoon Kim |
| 2022 | EMNLP | Hierarchical Phrase-Based Sequence-to-Sequence Learning. | Bailin Wang, Ivan Titov, Jacob Andreas, Yoon Kim |
| 2022 | EMNLP | UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. | Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu |
| 2022 | KDD | Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing. | Lihan Wang, Bowen Qin, Binyuan Hui, Bowen Li, Min Yang, Bailin Wang, Binhua Li, Jian Sun, Fei Huang, Luo Si, Yongbin Li |
| 2021 | ACL | Meta-Learning to Compositionally Generalize. | Henry Conklin, Bailin Wang, Kenny Smith, Ivan Titov |
| 2021 | ICLR | 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 R. Radev, Richard Socher, Caiming Xiong |
| 2021 | NAACL | Meta-Learning for Domain Generalization in Semantic Parsing. | Bailin Wang, Mirella Lapata, Ivan Titov |
| 2021 | NAACL | Learning from Executions for Semantic Parsing. | Bailin Wang, Mirella Lapata, Ivan Titov |
| 2021 | NAACL | Learning to Synthesize Data for Semantic Parsing. | Bailin Wang, Wenpeng Yin, Xi Victoria Lin, Caiming Xiong |
| 2020 | ACL | RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers. | Bailin Wang, Richard Shin, Xiaodong Liu, Oleksandr Polozov, Matthew Richardson |
| 2020 | NOMS | Predicting Internet of Things Data Traffic Through LSTM and Autoregressive Spectrum Analysis. | Yuhong Li, Di Jin, Bailin Wang, Xiang Su, Jukka Riekki, Chao Sun, Hanyu Wei, Hao Wang, Lei Han |
| 2019 | EMNLP | Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities. | Bailin Wang, Wei Lu |
| 2019 | EMNLP | Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs. | Bailin Wang, Ivan Titov, Mirella Lapata |
| 2018 | AAAI | Learning Latent Opinions for Aspect-level Sentiment Classification. | Bailin Wang, Wei Lu |
| 2018 | EMNLP | Neural Segmental Hypergraphs for Overlapping Mention Recognition. | Bailin Wang, Wei Lu |
| 2018 | EMNLP | A Neural Transition-based Model for Nested Mention Recognition. | Bailin Wang, Wei Lu, Yu Wang, Hongxia Jin |