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2020 – today
- 2024
[j3]Zekai Liu, Zhen Yuan, Yunlei Guo, Ruilin Wang, Yusheng Guan, Zhanglian Wang, Yunan Chen, Tianlu Wang, Meining Jiang, Shuhui Bian:
SMARTdb: An Integrated Database for Exploring Single-cell Multi-omics Data of Reproductive Medicine. Genom. Proteom. Bioinform. 22(3) (2024)- [c25]Sidi Lu, Hongyi Liu, Asli Celikyilmaz, Tianlu Wang, Nanyun Peng:
Open-Domain Text Evaluation via Contrastive Distribution Methods. ICML 2024 - [c24]Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ramakanth Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz:
The ART of LLM Refinement: Ask, Refine, and Trust. NAACL-HLT 2024: 5872-5883 - [i29]Silin Gao, Jane Dwivedi-Yu, Ping Yu, Xiaoqing Ellen Tan, Ramakanth Pasunuru, Olga Golovneva, Koustuv Sinha, Asli Celikyilmaz, Antoine Bosselut, Tianlu Wang:
Efficient Tool Use with Chain-of-Abstraction Reasoning. CoRR abs/2401.17464 (2024) - [i28]Olga Golovneva, Tianlu Wang, Jason Weston, Sainbayar Sukhbaatar:
Contextual Position Encoding: Learning to Count What's Important. CoRR abs/2405.18719 (2024) - [i27]Tianlu Wang, Ilia Kulikov, Olga Golovneva, Ping Yu, Weizhe Yuan, Jane Dwivedi-Yu, Richard Yuanzhe Pang, Maryam Fazel-Zarandi, Jason Weston, Xian Li:
Self-Taught Evaluators. CoRR abs/2408.02666 (2024) - [i26]Wei Cheng, Tianlu Wang, Yanmin Ji, Fan Yang, Keren Tan, Yiyu Zheng:
Calibrate to Discriminate: Improve In-Context Learning with Label-Free Comparative Inference. CoRR abs/2410.02210 (2024) - 2023
- [c23]Ping Yu, Tianlu Wang, Olga Golovneva, Badr AlKhamissi, Siddharth Verma, Zhijing Jin, Gargi Ghosh, Mona T. Diab, Asli Celikyilmaz:
ALERT: Adapt Language Models to Reasoning Tasks. ACL (1) 2023: 1055-1081 - [c22]Xiaochuang Han, Daniel Simig, Todor Mihaylov, Yulia Tsvetkov, Asli Celikyilmaz, Tianlu Wang:
Understanding In-Context Learning via Supportive Pretraining Data. ACL (1) 2023: 12660-12673 - [c21]Shengbo Huang
, Hongyu Wang, Yingguang Hao, Siyu Guo, Ye Wang, Tianlu Wang:
TC-CycleGAN: Improved CycleGAN with Texture Constraints for Virtual Staining of Pathological Images. BIC 2023: 147-152 - [c20]Haoyi Qiu, Zi-Yi Dou, Tianlu Wang, Asli Celikyilmaz, Nanyun Peng:
Gender Biases in Automatic Evaluation Metrics for Image Captioning. EMNLP 2023: 8358-8375 - [c19]Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu:
Selective Annotation Makes Language Models Better Few-Shot Learners. ICLR 2023 - [c18]Furong Cai, Ye Wang, Yingguang Hao, Hongyu Wang, Tianlu Wang, Zheng Wang:
Prognostic Survival Prediction Model of Non-small Cell Lung Cancer Based on Multimodal Feature Fusion. ISAIMS 2023: 450-455 - [i25]Jaspreet Ranjit, Tianlu Wang, Baishakhi Ray, Vicente Ordonez:
Variation of Gender Biases in Visual Recognition Models Before and After Finetuning. CoRR abs/2303.07615 (2023) - [i24]Haoyi Qiu, Zi-Yi Dou, Tianlu Wang, Asli Celikyilmaz, Nanyun Peng:
Gender Biases in Automatic Evaluation Metrics: A Case Study on Image Captioning. CoRR abs/2305.14711 (2023) - [i23]Sidi Lu, Asli Celikyilmaz, Tianlu Wang, Nanyun Peng:
Open-Domain Text Evaluation via Meta Distribution Modeling. CoRR abs/2306.11879 (2023) - [i22]Xiaochuang Han, Daniel Simig, Todor Mihaylov, Yulia Tsvetkov, Asli Celikyilmaz, Tianlu Wang:
Understanding In-Context Learning via Supportive Pretraining Data. CoRR abs/2306.15091 (2023) - [i21]Tianlu Wang, Ping Yu, Xiaoqing Ellen Tan, Sean O'Brien, Ramakanth Pasunuru, Jane Dwivedi-Yu, Olga Golovneva, Luke Zettlemoyer, Maryam Fazel-Zarandi, Asli Celikyilmaz:
Shepherd: A Critic for Language Model Generation. CoRR abs/2308.04592 (2023) - [i20]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:
Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning. CoRR abs/2309.02591 (2023) - [i19]Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ram Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz:
The ART of LLM Refinement: Ask, Refine, and Trust. CoRR abs/2311.07961 (2023) - [i18]Olga Golovneva, Sean O'Brien, Ramakanth Pasunuru, Tianlu Wang, Luke Zettlemoyer, Maryam Fazel-Zarandi, Asli Celikyilmaz:
PathFinder: Guided Search over Multi-Step Reasoning Paths. CoRR abs/2312.05180 (2023) - 2022
- [c17]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:
Few-shot Learning with Multilingual Generative Language Models. EMNLP 2022: 9019-9052 - [c16]Daniel Simig, Tianlu Wang, Verna Dankers, Peter Henderson, Khuyagbaatar Batsuren, Dieuwke Hupkes, Mona T. Diab:
Text Characterization Toolkit (TCT). AACL/IJCNLP (System Demonstrations) 2022: 72-87 - [c15]Tianlu Wang, Rohit Sridhar, Diyi Yang, Xuezhi Wang:
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models. NAACL-HLT (Findings) 2022: 1719-1729 - [c14]Shuang Ma, Chengsen Liu, Zhihua Liu, Xiaofang Zhang, Yuechao Wang, Lianqing Liu, Tianlu Wang, Wenxue Wang:
Characterization of Cellular Mechanical Properties Upon Drug Action Using a Dynamical System Model. ROBIO 2022: 229-234 - [i17]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:
OPT: Open Pre-trained Transformer Language Models. CoRR abs/2205.01068 (2022) - [i16]Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu:
Selective Annotation Makes Language Models Better Few-Shot Learners. CoRR abs/2209.01975 (2022) - [i15]Daniel Simig, Tianlu Wang, Verna Dankers, Peter Henderson, Khuyagbaatar Batsuren, Dieuwke Hupkes, Mona T. Diab:
Text Characterization Toolkit. CoRR abs/2210.01734 (2022) - [i14]Ping Yu, Tianlu Wang, Olga Golovneva, Badr AlKhamissy, Gargi Ghosh, Mona T. Diab, Asli Celikyilmaz:
ALERT: Adapting Language Models to Reasoning Tasks. CoRR abs/2212.08286 (2022) - [i13]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:
OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization. CoRR abs/2212.12017 (2022) - 2021
- [j2]Fangchao Tian, Tianlu Wang, Peng Liang, Chong Wang, Arif Ali Khan, Muhammad Ali Babar:
The impact of traceability on software maintenance and evolution: A mapping study. J. Softw. Evol. Process. 33(10) (2021) - [c13]Jack Lanchantin, Tianlu Wang, Vicente Ordonez, Yanjun Qi:
General Multi-Label Image Classification With Transformers. CVPR 2021: 16478-16488 - [c12]Fuxiao Liu, Yinghan Wang, Tianlu Wang, Vicente Ordonez:
Visual News: Benchmark and Challenges in News Image Captioning. EMNLP (1) 2021: 6761-6771 - [c11]Shuang Ma, Wenxue Wang, Yuechao Wang, Lianqing Liu, Tianlu Wang:
A New Method for Characterization of Single Cell Using System Identification. NEMS 2021: 832-837 - [i12]Fangchao Tian, Tianlu Wang, Peng Liang, Chong Wang, Arif Ali Khan, Muhammad Ali Babar:
The Impact of Traceability on Software Maintenance and Evolution: A Mapping Study. CoRR abs/2108.02133 (2021) - [i11]Tianlu Wang, Diyi Yang, Xuezhi Wang:
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models. CoRR abs/2110.07736 (2021) - [i10]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:
Few-shot Learning with Multilingual Language Models. CoRR abs/2112.10668 (2021) - 2020
- [j1]Tianlu Wang, Wenqi Hu, Ziyu Ren, Metin Sitti:
Ultrasound-Guided Wireless Tubular Robotic Anchoring System. IEEE Robotics Autom. Lett. 5(3): 4859-4866 (2020) - [c10]Tianlu Wang, Xi Victoria Lin, Nazneen Fatema Rajani, Bryan McCann, Vicente Ordonez, Caiming Xiong:
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation. ACL 2020: 5443-5453 - [c9]Tianlu Wang, Xuezhi Wang, Yao Qin, Ben Packer, Kang Li, Jilin Chen, Alex Beutel, Ed H. Chi:
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation. EMNLP (1) 2020: 5141-5146 - [i9]Tianlu Wang, Xi Victoria Lin, Nazneen Fatema Rajani, Bryan McCann, Vicente Ordonez, Caiming Xiong:
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation. CoRR abs/2005.00965 (2020) - [i8]Tianlu Wang, Xuezhi Wang, Yao Qin, Ben Packer, Kang Li, Jilin Chen, Alex Beutel, Ed H. Chi:
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation. CoRR abs/2010.02338 (2020) - [i7]Fuxiao Liu, Yinghan Wang, Tianlu Wang, Vicente Ordonez:
VisualNews : Benchmark and Challenges in Entity-aware Image Captioning. CoRR abs/2010.03743 (2020) - [i6]Jack Lanchantin, Tianlu Wang, Vicente Ordonez, Yanjun Qi:
General Multi-label Image Classification with Transformers. CoRR abs/2011.14027 (2020)
2010 – 2019
- 2019
- [c8]Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez:
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations. ICCV 2019: 5309-5318 - [c7]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang:
Gender Bias in Contextualized Word Embeddings. NAACL-HLT (1) 2019: 629-634 - [c6]Ziyu Ren, Tianlu Wang, Wenqi Hu, Metin Sitti:
A Magnetically-Actuated Untethered Jellyfish-Inspired Soft Milliswimmer. Robotics: Science and Systems 2019 - [i5]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang:
Gender Bias in Contextualized Word Embeddings. CoRR abs/1904.03310 (2019) - 2018
- [c5]Tianlu Wang, Peng Liang, Mengmeng Lu:
What Aspects Do Non-Functional Requirements in App User Reviews Describe? An Exploratory and Comparative Study. APSEC 2018: 494-503 - [c4]Tianlu Wang, Kota Yamaguchi, Vicente Ordonez:
Feedback-Prop: Convolutional Neural Network Inference Under Partial Evidence. CVPR 2018: 898-907 - [c3]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang:
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods. NAACL-HLT (2) 2018: 15-20 - [i4]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang:
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods. CoRR abs/1804.06876 (2018) - [i3]Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez:
Adversarial Removal of Gender from Deep Image Representations. CoRR abs/1811.08489 (2018) - 2017
- [c2]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang:
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints. EMNLP 2017: 2979-2989 - [i2]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang:
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints. CoRR abs/1707.09457 (2017) - [i1]Tianlu Wang, Kota Yamaguchi, Vicente Ordonez:
Feedback-prop: Convolutional Neural Network Inference under Partial Evidence. CoRR abs/1710.08049 (2017) - 2016
- [c1]Boliang Zhang, Xiaoman Pan, Tianlu Wang, Ashish Vaswani, Heng Ji, Kevin Knight, Daniel Marcu:
Name Tagging for Low-resource Incident Languages based on Expectation-driven Learning. HLT-NAACL 2016: 249-259
Coauthor Index
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last updated on 2024-11-14 20:58 CET by the dblp team
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