Tianlu Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
10
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | COLING | 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 |
| 2025 | ICML | Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge. | Swarnadeep Saha, Xian Li, Marjan Ghazvininejad, Jason E. Weston, Tianlu Wang |
| 2024 | ICML | Open-Domain Text Evaluation via Contrastive Distribution Methods. | Sidi Lu, Hongyi Liu, Asli Celikyilmaz, Tianlu Wang, Nanyun Peng |
| 2024 | NAACL | The ART of LLM Refinement: Ask, Refine, and Trust. | Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ramakanth Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz |
| 2023 | ACL | Understanding In-Context Learning via Supportive Pretraining Data. | Xiaochuang Han, Daniel Simig, Todor Mihaylov, Yulia Tsvetkov, Asli Celikyilmaz, Tianlu Wang |
| 2023 | ACL | 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 |
| 2023 | EMNLP | Gender Biases in Automatic Evaluation Metrics for Image Captioning. | Haoyi Qiu, Zi-Yi Dou, Tianlu Wang, Asli Celikyilmaz, Nanyun Peng |
| 2023 | ICLR | 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 |
| 2022 | EMNLP | 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 |
| 2022 | IJCNLP | Text Characterization Toolkit (TCT). | Daniel Simig, Tianlu Wang, Verna Dankers, Peter Henderson, Khuyagbaatar Batsuren, Dieuwke Hupkes, Mona T. Diab |
| 2022 | NAACL | Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models. | Tianlu Wang, Rohit Sridhar, Diyi Yang, Xuezhi Wang |
| 2021 | CVPR | General Multi-Label Image Classification With Transformers. | Jack Lanchantin, Tianlu Wang, Vicente Ordonez, Yanjun Qi |
| 2021 | EMNLP | Visual News: Benchmark and Challenges in News Image Captioning. | Fuxiao Liu, Yinghan Wang, Tianlu Wang, Vicente Ordonez |
| 2020 | ACL | Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation. | Tianlu Wang, Xi Victoria Lin, Nazneen Fatema Rajani, Bryan McCann, Vicente Ordonez, Caiming Xiong |
| 2020 | EMNLP | 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 |
| 2019 | ICCV | 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 |
| 2019 | NAACL | Gender Bias in Contextualized Word Embeddings. | Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang |
| 2018 | APSEC | What Aspects Do Non-Functional Requirements in App User Reviews Describe? An Exploratory and Comparative Study. | Tianlu Wang, Peng Liang, Mengmeng Lu |
| 2018 | CVPR | Feedback-Prop: Convolutional Neural Network Inference Under Partial Evidence. | Tianlu Wang, Kota Yamaguchi, Vicente Ordonez |
| 2018 | NAACL | Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods. | Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang |
| 2017 | EMNLP | Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints. | Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang |
| 2016 | NAACL | 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 |