Tianlu Wang

According to our database, Tianlu Wang authored at least 41 papers between 2016 and 2024.

Collaborative distances:

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

2024

Efficient Tool Use with Chain-of-Abstraction Reasoning.

Silin Gao, Jane Dwivedi-Yu, Ping Yu, Xiaoqing Ellen Tan, Ramakanth Pasunuru, Olga Golovneva, Koustuv Sinha, Asli Celikyilmaz, Antoine Bosselut, Tianlu Wang

CoRR, 2024

2023

PathFinder: Guided Search over Multi-Step Reasoning Paths.

Olga Golovneva, Sean O'Brien, Ramakanth Pasunuru, Tianlu Wang, Luke Zettlemoyer, Maryam Fazel-Zarandi, Asli Celikyilmaz

CoRR, 2023

The ART of LLM Refinement: Ask, Refine, and Trust.

Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ram Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz

CoRR, 2023

Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning.

Lili Yu, Bowen Shi, Ramakanth Pasunuru, Benjamin Muller, Olga Golovneva, Tianlu Wang, Arun Babu, Binh Tang, Brian Karrer, Shelly Sheynin, Candace Ross, Adam Polyak, Russell Howes, Vasu Sharma, Puxin Xu, Hovhannes Tamoyan, Oron Ashual, Uriel Singer, Shang-Wen Li, Susan Zhang, Richard James, Gargi Ghosh, Yaniv Taigman, Maryam Fazel-Zarandi, Asli Celikyilmaz, Luke Zettlemoyer, Armen Aghajanyan

CoRR, 2023

Shepherd: A Critic for Language Model Generation.

Tianlu Wang, Ping Yu, Xiaoqing Ellen Tan, Sean O'Brien, Ramakanth Pasunuru, Jane Dwivedi-Yu, Olga Golovneva, Luke Zettlemoyer, Maryam Fazel-Zarandi, Asli Celikyilmaz

CoRR, 2023

Open-Domain Text Evaluation via Meta Distribution Modeling.

Sidi Lu, Asli Celikyilmaz, Tianlu Wang, Nanyun Peng

CoRR, 2023

Gender Biases in Automatic Evaluation Metrics: A Case Study on Image Captioning.

Haoyi Qiu, Zi-Yi Dou, Tianlu Wang, Asli Celikyilmaz, Nanyun Peng

CoRR, 2023

Variation of Gender Biases in Visual Recognition Models Before and After Finetuning.

Jaspreet Ranjit, Tianlu Wang, Baishakhi Ray, Vicente Ordonez

CoRR, 2023

Prognostic Survival Prediction Model of Non-small Cell Lung Cancer Based on Multimodal Feature Fusion.

Furong Cai, Ye Wang, Yingguang Hao, Hongyu Wang, Tianlu Wang, Zheng Wang

Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science, 2023

Selective Annotation Makes Language Models Better Few-Shot Learners.

Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Gender Biases in Automatic Evaluation Metrics for Image Captioning.

Haoyi Qiu, Zi-Yi Dou, Tianlu Wang, Asli Celikyilmaz, Nanyun Peng

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

TC-CycleGAN: Improved CycleGAN with Texture Constraints for Virtual Staining of Pathological Images.

Shengbo Huang, Hongyu Wang, Yingguang Hao, Siyu Guo, Ye Wang, Tianlu Wang

Proceedings of the 3rd International Conference on Bioinformatics and Intelligent Computing, 2023

ALERT: Adapt Language Models to Reasoning Tasks.

Ping Yu, Tianlu Wang, Olga Golovneva, Badr AlKhamissi, Siddharth Verma, Zhijing Jin, Gargi Ghosh, Mona T. Diab, Asli Celikyilmaz

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Understanding In-Context Learning via Supportive Pretraining Data.

Xiaochuang Han, Daniel Simig, Todor Mihaylov, Yulia Tsvetkov, Asli Celikyilmaz, Tianlu Wang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization.

Srinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, Todor Mihaylov, Daniel Simig, Ping Yu, Kurt Shuster, Tianlu Wang, Qing Liu, Punit Singh Koura, Xian Li, Brian O'Horo, Gabriel Pereyra, Jeff Wang, Christopher Dewan, Asli Celikyilmaz, Luke Zettlemoyer, Ves Stoyanov

CoRR, 2022

ALERT: Adapting Language Models to Reasoning Tasks.

Ping Yu, Tianlu Wang, Olga Golovneva, Badr AlKhamissy, Gargi Ghosh, Mona T. Diab, Asli Celikyilmaz

CoRR, 2022

Text Characterization Toolkit.

Daniel Simig, Tianlu Wang, Verna Dankers, Peter Henderson, Khuyagbaatar Batsuren, Dieuwke Hupkes, Mona T. Diab

CoRR, 2022

OPT: Open Pre-trained Transformer Language Models.

Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona T. Diab, Xian Li, Xi Victoria Lin, Todor Mihaylov, Myle Ott, Sam Shleifer, Kurt Shuster, Daniel Simig, Punit Singh Koura, Anjali Sridhar, Tianlu Wang, Luke Zettlemoyer

CoRR, 2022

Characterization of Cellular Mechanical Properties Upon Drug Action Using a Dynamical System Model.

Shuang Ma, Chengsen Liu, Zhihua Liu, Xiaofang Zhang, Yuechao Wang, Lianqing Liu, Tianlu Wang, Wenxue Wang

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models.

Tianlu Wang, Rohit Sridhar, Diyi Yang, Xuezhi Wang

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

Text Characterization Toolkit (TCT).

Daniel Simig, Tianlu Wang, Verna Dankers, Peter Henderson, Khuyagbaatar Batsuren, Dieuwke Hupkes, Mona T. Diab

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Few-shot Learning with Multilingual Generative Language Models.

Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li

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

2021

The impact of traceability on software maintenance and evolution: A mapping study.

Fangchao Tian, Tianlu Wang, Peng Liang, Chong Wang, Arif Ali Khan, Muhammad Ali Babar

J. Softw. Evol. Process., 2021

Few-shot Learning with Multilingual Language Models.

Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li

CoRR, 2021

Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models.

Tianlu Wang, Diyi Yang, Xuezhi Wang

CoRR, 2021

A New Method for Characterization of Single Cell Using System Identification.

Shuang Ma, Wenxue Wang, Yuechao Wang, Lianqing Liu, Tianlu Wang

Proceedings of the 16th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2021

Visual News: Benchmark and Challenges in News Image Captioning.

Fuxiao Liu, Yinghan Wang, Tianlu Wang, Vicente Ordonez

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

General Multi-Label Image Classification With Transformers.

Jack Lanchantin, Tianlu Wang, Vicente Ordonez, Yanjun Qi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Ultrasound-Guided Wireless Tubular Robotic Anchoring System.

Tianlu Wang, Wenqi Hu, Ziyu Ren, Metin Sitti

IEEE Robotics Autom. Lett., 2020

VisualNews : Benchmark and Challenges in Entity-aware Image Captioning.

Fuxiao Liu, Yinghan Wang, Tianlu Wang, Vicente Ordonez

CoRR, 2020

CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation.

Tianlu Wang, Xuezhi Wang, Yao Qin, Ben Packer, Kang Li, Jilin Chen, Alex Beutel, Ed H. Chi

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

Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation.

Tianlu Wang, Xi Victoria Lin, Nazneen Fatema Rajani, Bryan McCann, Vicente Ordonez, Caiming Xiong

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

2019

A Magnetically-Actuated Untethered Jellyfish-Inspired Soft Milliswimmer.

Ziyu Ren, Tianlu Wang, Wenqi Hu, Metin Sitti

Proceedings of the Robotics: Science and Systems XV, 2019

Gender Bias in Contextualized Word Embeddings.

Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations.

Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Adversarial Removal of Gender from Deep Image Representations.

Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez

CoRR, 2018

Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods.

Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Feedback-Prop: Convolutional Neural Network Inference Under Partial Evidence.

Tianlu Wang, Kota Yamaguchi, Vicente Ordonez

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

What Aspects Do Non-Functional Requirements in App User Reviews Describe? An Exploratory and Comparative Study.

Tianlu Wang, Peng Liang, Mengmeng Lu

Proceedings of the 25th Asia-Pacific Software Engineering Conference, 2018

2017

Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints.

Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Name Tagging for Low-resource Incident Languages based on Expectation-driven Learning.

Boliang Zhang, Xiaoman Pan, Tianlu Wang, Ashish Vaswani, Heng Ji, Kevin Knight, Daniel Marcu

Proceedings of the NAACL HLT 2016, 2016