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Scott Geng
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2020 – today
- 2026
[i11]Yimin Zhao, Sheela R. Damle, Simone E. Dekker, Scott Geng, Karly Williams Silva, Jesse J. Hubbard, Manuel F. Fernandez, Fatima Zelada-Arenas, Alejandra Alvarez, Brianne Flores, Alexis Rodriguez, Stephen Salerno, Carrie Wright, Zihao Wang, Pang Wei Koh, Jeffrey T. Leek:
PanCanBench: A Comprehensive Benchmark for Evaluating Large Language Models in Pancreatic Oncology. CoRR abs/2603.01343 (2026)
[i10]Scott Geng, Dutch Hansen, Jerry Li:
Weak-to-Strong Generalization is Nearly Inevitable (in Linear Models). CoRR abs/2605.05742 (2026)- 2025
[i9]Rulin Shao, Shuyue Stella Li, Rui Xin, Scott Geng, Yiping Wang, Sewoong Oh, Simon Shaolei Du, Nathan Lambert, Sewon Min, Ranjay Krishna, Yulia Tsvetkov, Hannaneh Hajishirzi, Pang Wei Koh, Luke Zettlemoyer:
Spurious Rewards: Rethinking Training Signals in RLVR. CoRR abs/2506.10947 (2025)
[i8]Scott Geng, Hamish Ivison, Chun-Liang Li, Maarten Sap, Jerry Li, Ranjay Krishna, Pang Wei Koh:
The Delta Learning Hypothesis: Preference Tuning on Weak Data can Yield Strong Gains. CoRR abs/2507.06187 (2025)
[i7]Inna Wanyin Lin, Yushi Hu, Shuyue Stella Li, Scott Geng, Pang Wei Koh, Luke Zettlemoyer, Tim Althoff, Marjan Ghazvininejad:
Self-Improving VLM Judges Without Human Annotations. CoRR abs/2512.05145 (2025)
[i6]Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, David Graham, David Heineman, Dirk Groeneveld, Faeze Brahman, Finbarr Timbers, Hamish Ivison, Jacob Morrison, Jake Poznanski, Kyle Lo, Luca Soldaini, Matt Jordan, Mayee F. Chen, Michael Noukhovitch, Nathan Lambert, Pete Walsh, Pradeep Dasigi, Robert Berry, Saumya Malik, Saurabh Shah, Scott Geng, Shane Arora, Shashank Gupta, Taira Anderson, Teng Xiao, Tyler Murray, Tyler Romero, Victoria Graf, Akari Asai, Akshita Bhagia, Alexander Wettig, Alisa Liu, Aman Rangapur, Chloe Anastasiades, Costa Huang, Dustin Schwenk, Harsh Trivedi, Ian Magnusson, Jaron Lochner, Jiacheng Liu, Lester James V. Miranda, Maarten Sap, Malia Morgan, Michael Schmitz, Michal Guerquin, Michael Wilson, Regan Huff, Ronan Le Bras, Rui Xin, Rulin Shao, Sam Skjonsberg, Shannon Zejiang Shen, Shuyue Stella Li, Tucker Wilde, Valentina Pyatkin, William Merrill, Yapei Chang, Yuling Gu, Zhiyuan Zeng, Ashish Sabharwal, Luke Zettlemoyer, Pang Wei Koh, Ali Farhadi, Noah A. Smith, Hannaneh Hajishirzi:
Olmo 3. CoRR abs/2512.13961 (2025)- 2024
[c4]Kexin Pei, Weichen Li
, Qirui Jin, Shuyang Liu, Scott Geng, Lorenzo Cavallaro, Junfeng Yang, Suman Jana:
Exploiting Code Symmetries for Learning Program Semantics. ICML 2024: 40092-40113
[c3]Scott Geng, Cheng-Yu Hsieh, Vivek Ramanujan, Matthew Wallingford, Chun-Liang Li, Pang Wei Koh, Ranjay Krishna:
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better. NeurIPS 2024
[i5]Scott Geng, Cheng-Yu Hsieh, Vivek Ramanujan, Matthew Wallingford, Chun-Liang Li, Pang Wei Koh, Ranjay Krishna:
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better. CoRR abs/2406.05184 (2024)- 2023
[c2]Chengzhi Mao, Scott Geng, Junfeng Yang, Xin Wang, Carl Vondrick:
Understanding Zero-shot Adversarial Robustness for Large-Scale Models. ICLR 2023
[i4]Scott Geng, Revant Teotia, Purva Tendulkar, Sachit Menon, Carl Vondrick:
Affective Faces for Goal-Driven Dyadic Communication. CoRR abs/2301.10939 (2023)
[i3]Kexin Pei, Weichen Li
, Qirui Jin, Shuyang Liu, Scott Geng, Lorenzo Cavallaro, Junfeng Yang, Suman Jana:
Symmetry-Preserving Program Representations for Learning Code Semantics. CoRR abs/2308.03312 (2023)- 2022
[c1]Kexin Pei, Dongdong She
, Michael Wang, Scott Geng, Zhou Xuan, Yaniv David
, Junfeng Yang, Suman Jana, Baishakhi Ray:
NeuDep: neural binary memory dependence analysis. ESEC/SIGSOFT FSE 2022: 747-759
[i2]Kexin Pei, Dongdong She, Michael Wang, Scott Geng, Zhou Xuan, Yaniv David
, Junfeng Yang, Suman Jana, Baishakhi Ray:
NeuDep: Neural Binary Memory Dependence Analysis. CoRR abs/2210.02853 (2022)
[i1]Chengzhi Mao, Scott Geng, Junfeng Yang, Xin Wang, Carl Vondrick:
Understanding Zero-Shot Adversarial Robustness for Large-Scale Models. CoRR abs/2212.07016 (2022)
Coauthor Index

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last updated on 2026-07-28 00:33 CEST by the dblp team
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