Scott Geng - RankMe

14 papers A* 3Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PanCanBench: A Comprehensive Benchmark for Evaluating Large Language Models in Pancreatic Oncology. CoRR 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
2025	J	`jnl`	Olmo 3. CoRR 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
2025	J	`jnl`	Self-Improving VLM Judges Without Human Annotations. CoRR Inna Wanyin Lin, Yushi Hu, Shuyue Stella Li, Scott Geng, Pang Wei Koh, Luke Zettlemoyer, Tim Althoff, Marjan Ghazvininejad
2025	J	`jnl`	Spurious Rewards: Rethinking Training Signals in RLVR. CoRR 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
2025	J	`jnl`	The Delta Learning Hypothesis: Preference Tuning on Weak Data can Yield Strong Gains. CoRR Scott Geng, Hamish Ivison, Chun-Liang Li, Maarten Sap, Jerry Li, Ranjay Krishna, Pang Wei Koh
2024	A*	`conf`	Exploiting Code Symmetries for Learning Program Semantics. ICML Kexin Pei, Weichen Li, Qirui Jin, Shuyang Liu, Scott Geng, Lorenzo Cavallaro, Junfeng Yang, Suman Jana
2024	A*	`conf`	The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better. NeurIPS Scott Geng, Cheng-Yu Hsieh, Vivek Ramanujan, Matthew Wallingford, Chun-Liang Li, Pang Wei Koh, Ranjay Krishna
2024	J	`jnl`	The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better. CoRR Scott Geng, Cheng-Yu Hsieh, Vivek Ramanujan, Matthew Wallingford, Chun-Liang Li, Pang Wei Koh, Ranjay Krishna
2023	J	`jnl`	Affective Faces for Goal-Driven Dyadic Communication. CoRR Scott Geng, Revant Teotia, Purva Tendulkar, Sachit Menon, Carl Vondrick
2023	J	`jnl`	Symmetry-Preserving Program Representations for Learning Code Semantics. CoRR Kexin Pei, Weichen Li, Qirui Jin, Shuyang Liu, Scott Geng, Lorenzo Cavallaro, Junfeng Yang, Suman Jana
2023	A*	`conf`	Understanding Zero-shot Adversarial Robustness for Large-Scale Models. ICLR Chengzhi Mao, Scott Geng, Junfeng Yang, Xin Wang, Carl Vondrick
2022	J	`jnl`	NeuDep: Neural Binary Memory Dependence Analysis. CoRR Kexin Pei, Dongdong She, Michael Wang, Scott Geng, Zhou Xuan, Yaniv David, Junfeng Yang, Suman Jana, Baishakhi Ray
2022	—	`conf`	NeuDep: neural binary memory dependence analysis. ESEC/SIGSOFT FSE Kexin Pei, Dongdong She, Michael Wang, Scott Geng, Zhou Xuan, Yaniv David, Junfeng Yang, Suman Jana, Baishakhi Ray
2022	J	`jnl`	Understanding Zero-Shot Adversarial Robustness for Large-Scale Models. CoRR Chengzhi Mao, Scott Geng, Junfeng Yang, Xin Wang, Carl Vondrick