Jia, Robin

9 publications

ICLR 2025 TLDR: Token-Level Detective Reward Model for Large Vision Language Models Deqing Fu, Tong Xiao, Rui Wang, Wang Zhu, Pengchuan Zhang, Guan Pang, Robin Jia, Lawrence Chen

NeurIPSW 2024 Language Models and Symbolic Planners Can Infer Action Semantics Through Environment Feedback Wang Bill Zhu, Ishika Singh, Robin Jia, Jesse Thomason

NeurIPS 2024 Pre-Trained Large Language Models Use Fourier Features to Compute Addition Tianyi Zhou, Deqing Fu, Vatsal Sharan, Robin Jia

NeurIPSW 2024 Rethinking Backdoor Detection Evaluation for Language Models Jun Yan, Wenjie Jacky Mo, Xiang Ren, Robin Jia

NeurIPS 2024 Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression Deqing Fu, Tian-Qi Chen, Robin Jia, Vatsal Sharan

NeurIPSW 2023 Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Models Deqing Fu, Tianqi Chen, Robin Jia, Vatsal Sharan

ICML 2022 Knowledge Base Question Answering by Case-Based Reasoning over Subgraphs Rajarshi Das, Ameya Godbole, Ankita Naik, Elliot Tower, Manzil Zaheer, Hannaneh Hajishirzi, Robin Jia, Andrew Mccallum

NeurIPS 2021 Dynaboard: An Evaluation-as-a-Service Platform for Holistic Next-Generation Benchmarking Zhiyi Ma, Kawin Ethayarajh, Tristan Thrush, Somya Jain, Ledell Wu, Robin Jia, Christopher Potts, Adina Williams, Douwe Kiela

NeurIPSW 2020 On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks Stephen Mussmann, Robin Jia, Percy Liang