Name Tagging for Low-resource Incident Languages based on Expectation-driven Learning. - Boliang Zhang; Xiaoman Pan; Tianlu Wang; Ashish Vaswani; Heng Ji 001; Kevin Knight; Daniel Marcu (HLT-NAACL, 2016)

Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints. - Jieyu Zhao 001; Tianlu Wang; Mark Yatskar; Vicente Ordonez; Kai-Wei Chang (EMNLP, 2017)

What Aspects Do Non-Functional Requirements in App User Reviews Describe? An Exploratory and Comparative Study. - Tianlu Wang; Peng Liang 001; Mengmeng Lu (APSEC, 2018)

Feedback-Prop: Convolutional Neural Network Inference Under Partial Evidence. - Tianlu Wang; Kota Yamaguchi; Vicente Ordonez (CVPR, 2018)

Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods. - Jieyu Zhao 001; Tianlu Wang; Mark Yatskar; Vicente Ordonez; Kai-Wei Chang (NAACL-HLT (2), 2018)

Adversarial Removal of Gender from Deep Image Representations. - Tianlu Wang; Jieyu Zhao 001; Mark Yatskar; Kai-Wei Chang; Vicente Ordonez (CoRR, 2018)

Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations. - Tianlu Wang; Jieyu Zhao 001; Mark Yatskar; Kai-Wei Chang; Vicente Ordonez (ICCV, 2019)

Gender Bias in Contextualized Word Embeddings. - Jieyu Zhao 001; Tianlu Wang; Mark Yatskar; Ryan Cotterell; Vicente Ordonez; Kai-Wei Chang (NAACL-HLT (1), 2019)

A Magnetically-Actuated Untethered Jellyfish-Inspired Soft Milliswimmer. - Ziyu Ren; Tianlu Wang; Wenqi Hu; Metin Sitti (Robotics: Science and Systems, 2019)

Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation. - Tianlu Wang; Xi Victoria Lin; Nazneen Fatema Rajani; Bryan McCann; Vicente Ordonez; Caiming Xiong (ACL, 2020)

CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation. - Tianlu Wang; Xuezhi Wang 002; Yao Qin 001; Ben Packer; Kang Li; Jilin Chen; Alex Beutel; Ed H. Chi (EMNLP (1), 2020)

VisualNews : Benchmark and Challenges in Entity-aware Image Captioning. - Fuxiao Liu; Yinghan Wang; Tianlu Wang; Vicente Ordonez (CoRR, 2020)

Ultrasound-Guided Wireless Tubular Robotic Anchoring System. - Tianlu Wang; Wenqi Hu; Ziyu Ren; Metin Sitti (IEEE Robotics Autom. Lett., 2020)

General Multi-Label Image Classification With Transformers. - Jack Lanchantin; Tianlu Wang; Vicente Ordonez; Yanjun Qi (CVPR, 2021)

Visual News: Benchmark and Challenges in News Image Captioning. - Fuxiao Liu; Yinghan Wang; Tianlu Wang; Vicente Ordonez (EMNLP (1), 2021)

A New Method for Characterization of Single Cell Using System Identification. - Shuang Ma; Wenxue Wang; Yuechao Wang; Lianqing Liu; Tianlu Wang (NEMS, 2021)

Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models. - Tianlu Wang; Diyi Yang; Xuezhi Wang 002 (CoRR, 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 001; Shruti Bhosale; Jingfei Du; Ramakanth Pasunuru; Sam Shleifer; et al. (CoRR, 2021)

The impact of traceability on software maintenance and evolution: A mapping study. - Fangchao Tian; Tianlu Wang; Peng Liang 001; Chong Wang 004; Arif Ali Khan; Muhammad Ali Babar 001 (J. Softw. Evol. Process., 2021)

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 001; Shruti Bhosale; Jingfei Du; Ramakanth Pasunuru; Sam Shleifer; et al. (EMNLP, 2022)

Text Characterization Toolkit (TCT). - Daniel Simig; Tianlu Wang; Verna Dankers; Peter Henderson 002; Khuyagbaatar Batsuren; Dieuwke Hupkes; Mona T. Diab (AACL/IJCNLP (System Demonstrations), 2022)

Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models. - Tianlu Wang; Rohit Sridhar; Diyi Yang; Xuezhi Wang 002 (NAACL-HLT (Findings), 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 (ROBIO, 2022)

OPT: Open Pre-trained Transformer Language Models. - Susan Zhang; Stephen Roller; Naman Goyal 001; Mikel Artetxe; Moya Chen; Shuohui Chen; Christopher Dewan; Mona T. Diab; Xian Li 003; Xi Victoria Lin; Todor Mihaylov; Myle Ott; et al. (CoRR, 2022)

Text Characterization Toolkit. - Daniel Simig; Tianlu Wang; Verna Dankers; Peter Henderson 002; Khuyagbaatar Batsuren; Dieuwke Hupkes; Mona T. Diab (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)

OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization. - Srinivasan Iyer 001; Xi Victoria Lin; Ramakanth Pasunuru; Todor Mihaylov; Daniel Simig; Ping Yu; Kurt Shuster 001; Tianlu Wang; Qing Liu; Punit Singh Koura; Xian Li 003; Brian O'Horo; et al. (CoRR, 2022)

Understanding In-Context Learning via Supportive Pretraining Data. - Xiaochuang Han; Daniel Simig; Todor Mihaylov; Yulia Tsvetkov; Asli Celikyilmaz; Tianlu Wang (ACL (1), 2023)

ALERT: Adapt Language Models to Reasoning Tasks. - Ping Yu; Tianlu Wang; Olga Golovneva; Badr AlKhamissi; Siddharth Verma; Zhijing Jin 001; Gargi Ghosh; Mona T. Diab; Asli Celikyilmaz (ACL (1), 2023)

TC-CycleGAN: Improved CycleGAN with Texture Constraints for Virtual Staining of Pathological Images. - Shengbo Huang; Hongyu Wang 001; Yingguang Hao; Siyu Guo; Ye Wang; Tianlu Wang (BIC, 2023)

Gender Biases in Automatic Evaluation Metrics for Image Captioning. - Haoyi Qiu; Zi-Yi Dou; Tianlu Wang; Asli Celikyilmaz; Nanyun Peng 001 (EMNLP, 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 037; Mari Ostendorf; Luke Zettlemoyer; Noah A. Smith; Tao Yu 009 (ICLR, 2023)

Prognostic Survival Prediction Model of Non-small Cell Lung Cancer Based on Multimodal Feature Fusion. - Furong Cai; Ye Wang; Yingguang Hao; Hongyu Wang 001; Tianlu Wang; Zheng Wang (ISAIMS, 2023)

Variation of Gender Biases in Visual Recognition Models Before and After Finetuning. - Jaspreet Ranjit; Tianlu Wang; Baishakhi Ray; Vicente Ordonez (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 001 (CoRR, 2023)

Open-Domain Text Evaluation via Meta Distribution Modeling. - Sidi Lu; Asli Celikyilmaz; Tianlu Wang; Nanyun Peng 001 (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)

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; et al. (CoRR, 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)

Open-Domain Text Evaluation via Contrastive Distribution Methods. - Sidi Lu; Hongyi Liu; Asli Celikyilmaz; Tianlu Wang; Nanyun Peng 001 (ICML, 2024)

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 (NAACL-HLT, 2024)

Contextual Position Encoding: Learning to Count What's Important. - Olga Golovneva; Tianlu Wang; Jason Weston; Sainbayar Sukhbaatar (CoRR, 2024)

Self-Taught Evaluators. - Tianlu Wang; Ilia Kulikov; Olga Golovneva; Ping Yu; Weizhe Yuan; Jane Dwivedi-Yu; Richard Yuanzhe Pang; Maryam Fazel-Zarandi; Jason Weston; Xian Li 003 (CoRR, 2024)

Calibrate to Discriminate: Improve In-Context Learning with Label-Free Comparative Inference. - Wei Cheng; Tianlu Wang; Yanmin Ji; Fan Yang; Keren Tan; Yiyu Zheng (CoRR, 2024)

SMARTdb: An Integrated Database for Exploring Single-cell Multi-omics Data of Reproductive Medicine. - Zekai Liu; Zhen Yuan; Yunlei Guo; Ruilin Wang; Yusheng Guan; Zhanglian Wang; Yunan Chen; Tianlu Wang; Meining Jiang; Shuhui Bian (Genom. Proteom. Bioinform., 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 (COLING, 2025)

Temperature dependence of dynamic performance of SiC MOSFETs in a half-bridge configuration. - Tianlu Wang; Yu Zhong; Lan Luo; Fanpeng Zeng; Ziang Zhao; Yingxin Cui; Mingsheng Xu; Xiangang Xu; Handoko Linewih; Jisheng Han (Microelectron. J., 2025)

Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge. - Swarnadeep Saha; Xian Li 003; Marjan Ghazvininejad; Jason Weston; Tianlu Wang (CoRR, 2025)

Multi-Token Attention. - Olga Golovneva; Tianlu Wang; Jason Weston; Sainbayar Sukhbaatar (CoRR, 2025)

J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning. - Chenxi Whitehouse; Tianlu Wang; Ping Yu; Xian Li 003; Jason Weston; Ilia Kulikov; Swarnadeep Saha (CoRR, 2025)

Bridging Offline and Online Reinforcement Learning for LLMs. - Jack Lanchantin; Angelica Chen; Janice Lan; Xian Li 003; Swarnadeep Saha; Tianlu Wang; Jing Xu; Ping Yu; Weizhe Yuan; Jason E. Weston; Sainbayar Sukhbaatar; Ilia Kulikov (CoRR, 2025)

ASTRO: Teaching Language Models to Reason by Reflecting and Backtracking In-Context. - Joongwon Kim; Anirudh Goyal; Liang Tan; Hannaneh Hajishirzi; Srinivasan Iyer 001; Tianlu Wang (CoRR, 2025)

CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks. - Ping Yu; Jack Lanchantin; Tianlu Wang; Weizhe Yuan; Olga Golovneva; Ilia Kulikov; Sainbayar Sukhbaatar; Jason Weston; Jing Xu (CoRR, 2025)