Wang, Andrew

11 publications

NeurIPS 2025 Better Training Data Attribution via Better Inverse Hessian-Vector Products Andrew Wang, Elisa Nguyen, Runshi Yang, Juhan Bae, Sheila A. McIlraith, Roger Baker Grosse

NeurIPS 2025 FEEDBACK FRICTION: LLMs Struggle to Fully Incorporate External Feedback Dongwei Jiang, Alvin Zhang, Andrew Wang, Nicholas Andrews, Daniel Khashabi

NeurIPS 2025 Ground-Compose-Reinforce: Grounding Language in Agentic Behaviours Using Limited Data Andrew C Li, Toryn Q. Klassen, Andrew Wang, Parand A. Alamdari, Sheila A. McIlraith

NeurIPS 2025 InFlux: A Benchmark for Self-Calibration of Dynamic Intrinsics of Video Cameras Erich Liang, Roma Bhattacharjee, Sreemanti Dey, Rafael Moschopoulos, Caitlin Wang, Michel Liao, Grace Tan, Andrew Wang, Karhan Kayan, Stamatis Alexandropoulos, Jia Deng

ICML 2025 Learning Extrapolative Sequence Transformations from Markov Chains Sophia Hager, Aleem Khan, Andrew Wang, Nicholas Andrews

ICLR 2024 Identifying the Risks of LM Agents with an LM-Emulated Sandbox Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto

ECCVW 2024 Perspective-Equivariance for Unsupervised Imaging with Camera Geometry Andrew Wang, Mike Davies

NeurIPSW 2023 Identifying the Risks of LM Agents with an LM-Emulated Sandbox Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto

ICML 2023 Learning Belief Representations for Partially Observable Deep RL Andrew Wang, Andrew C Li, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. Mcilraith

NeurIPS 2022 Operator Splitting Value Iteration Amin Rakhsha, Andrew Wang, Mohammad Ghavamzadeh, Amir-massoud Farahmand

AAAI 2012 Bayes-Adaptive Interactive POMDPs Brenda Ng, Kofi Boakye, Carol Meyers, Andrew Wang