Anil, Cem
- Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
2024/01/10 by Evan Hubinger, Carson Denison, Hubinger, Evan +77 · 18 voices · 99 citations
Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Ethics and Social Impacts of AI #Topic Modeling #cs.AI #cs.CL #cs.CR #cs.LG #cs.SE
- Solving Quantitative Reasoning Problems with Language Models
2022/06/29 by Aitor Lewkowycz, Anders Andreassen, Lewkowycz, Aitor +25 · 1 voice · 290 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CL #cs.LG
- Kronfluence: Influence Functions with Eigenvalue-corrected Kronecker-Factored Approximate Curvature
2023/08/07 by Roger Grosse, Grosse, Roger, Juhan Bae +31 · 3 voices · 52 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Text Readability and Simplification
- Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming
2025/01/31 by Mrinank Sharma, Sharma, Mrinank, Meg Tong +89 · 8 voices · 38 citations
Social Sciences · #Criminal Law and Evidence #Law, Rights, and Freedoms #Legal Systems and Judicial Processes
- Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization
2018/04/18 by Tremblay, Jonathan, Prakash, Aayush, Acuna, David +7 · 28 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Sorting out Lipschitz function approximation
2018/11/13 by Cem Anil, Anil, Cem, James Lucas +3 · 17 citations
Computer Science · Engineering · #Advanced Image Processing Techniques #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques
- Exploring Length Generalization in Large Language Models
2022/07/11 by Cem Anil, Anil, Cem, Yuhuai Wu +17 · 21 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
- Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks
2019/11/03 by Li, Qiyang, Haque, Saminul, Anil, Cem +3 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Sabotage Evaluations for Frontier Models
2024/10/28 by Benton, Joe, Wagner, Misha, Christiansen, Eric +13 · 6 citations
#Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Path Independent Equilibrium Models Can Better Exploit Test-Time Computation
2022/11/18 by Anil, Cem, Pokle, Ashwini, Liang, Kaiqu +5 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Learning to Elect
2021/08/05 by Anil, Cem, Bao, Xuchan · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data
2024/06/20 by Johannes Treutlein, Treutlein, Johannes, Dami Choi +12 · 4 voices
Computer Science · #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.LG
- Beyond Data Filtering: Knowledge Localization for Capability Removal in LLMs
2025/12/05 by Igor Shilov, Shilov, Igor, Alex Cloud +13 · 2 voices · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #cs.LG