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cs.CL2025
Large Language Models Often Know When They Are Being Evaluated
Joe Needham, Giles Edkins, Govind Pimpale +2
If AI models can detect when they are being evaluated, the effectiveness of evaluations might be compromised. For example, models could have systematically different behavior durin…
cs.CL2025
Forecasting Frontier Language Model Agent Capabilities
Govind Pimpale, Axel Højmark, Jérémy Scheurer +1
As Language Models (LMs) increasingly operate as autonomous agents, accurately forecasting their capabilities becomes crucial for societal preparedness. We evaluate six forecasting…
cs.CL2024
Applying Refusal-Vector Ablation to Llama 3.1 70B Agents
Simon Lermen, Mateusz Dziemian, Govind Pimpale
Recently, language models like Llama 3.1 Instruct have become increasingly capable of agentic behavior, enabling them to perform tasks requiring short-term planning and tool use. I…