Wang, Tianlu

10 publications

ICLR 2026 Hybrid Reinforcement: When Reward Is Sparse, Better to Be Dense Leitian Tao, Ilia Kulikov, Swarnadeep Saha, Tianlu Wang, Jing Xu, Sharon Li, Jason E Weston, Ping Yu

ICLR 2026 J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning Chenxi Whitehouse, Tianlu Wang, Ping Yu, Xian Li, Jason E Weston, Ilia Kulikov, Swarnadeep Saha

ICML 2025 Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge Swarnadeep Saha, Xian Li, Marjan Ghazvininejad, Jason E Weston, Tianlu Wang

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

ICLRW 2024 The ART of LLM Refinement: Ask, Refine, Trust Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ramakanth Pasunuru, Mrinmaya Sachan, Jason E Weston, Asli Celikyilmaz

NeurIPSW 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

ICLR 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

CVPR 2021 General Multi-Label Image Classification with Transformers Jack Lanchantin, Tianlu Wang, Vicente Ordonez, Yanjun Qi

ICCV 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

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