NeuDep: neural binary memory dependence analysis. - Kexin Pei; Dongdong She; Michael Wang; Scott Geng; Zhou Xuan; Yaniv David; Junfeng Yang; Suman Jana; Baishakhi Ray (ESEC/SIGSOFT FSE, 2022)

Understanding Zero-shot Adversarial Robustness for Large-Scale Models. - Chengzhi Mao; Scott Geng; Junfeng Yang; Xin Wang 066; Carl Vondrick (ICLR, 2023)

Affective Faces for Goal-Driven Dyadic Communication. - Scott Geng; Revant Teotia; Purva Tendulkar; Sachit Menon; Carl Vondrick (CoRR, 2023)

Symmetry-Preserving Program Representations for Learning Code Semantics. - Kexin Pei; Weichen Li; Qirui Jin; Shuyang Liu; Scott Geng; Lorenzo Cavallaro; Junfeng Yang; Suman Jana (CoRR, 2023)

Exploiting Code Symmetries for Learning Program Semantics. - Kexin Pei; Weichen Li; Qirui Jin; Shuyang Liu; Scott Geng; Lorenzo Cavallaro; Junfeng Yang; Suman Jana (ICML, 2024)

The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better. - Scott Geng; Cheng-Yu Hsieh; Vivek Ramanujan; Matthew Wallingford; Chun-Liang Li; Pang Wei Koh; Ranjay Krishna (NeurIPS, 2024)

Spurious Rewards: Rethinking Training Signals in RLVR. - Rulin Shao; Shuyue Stella Li; Rui Xin; Scott Geng; Yiping Wang; Sewoong Oh; Simon Shaolei Du; Nathan Lambert 001; Sewon Min; Ranjay Krishna; Yulia Tsvetkov; Hannaneh Hajishirzi; et al. (CoRR, 2025)

The Delta Learning Hypothesis: Preference Tuning on Weak Data can Yield Strong Gains. - Scott Geng; Hamish Ivison; Chun-Liang Li; Maarten Sap; Jerry Li; Ranjay Krishna; Pang Wei Koh (CoRR, 2025)