Nicholas Roberts
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
2022/06/09 by Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao +448 · 3 voices · 149 citations
#cs.CL #cs.AI #cs.CY #cs.LG #stat.ML
- SlopCodeBench: Benchmarking How Coding Agents Degrade Over Long-Horizon Iterative Tasks
2026/03/25 by Gabriel Orlanski, Devjeet Roy, Alexander Yun +7 · 8 voices · 3 citations
#cs.SE #cs.AI #cs.CL
- MLGym: A New Framework and Benchmark for Advancing AI Research Agents
2025/02/20 by Deepak Nathani, Nathani, Deepak, Lovish Madaan +31 · 20 citations
Computer Science · Decision Sciences · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Scientific Computing and Data Management #Semantic Web and Ontologies
- Compute Optimal Scaling of Skills: Knowledge vs Reasoning
2025/03/13 by Nicholas Roberts, Niladri S. Chatterji, Niladri Chatterji +8 · 1 voice · 6 citations
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Software Engineering Research #cs.AI #cs.CL #cs.LG
- Conceptualizing models using multidimensional constructs: a review and guidelines for their use
2012/01/01 by Greta L Polites, Nicholas Roberts, Jason Thatcher · 1 citation
- Decoding and Diversity in Machine Translation
2020/11/26 by Nicholas Roberts, Roberts, Nicholas, Davis Liang +5 · 2 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
- Model Weight Theft With Just Noise Inputs: The Curious Case of the Petulant Attacker
2019/12/19 by Nicholas Roberts, Roberts, Nicholas, Vinay Uday Prabhu +3 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms