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cs.CL2025
Linearly Decoding Refused Knowledge in Aligned Language Models
Aryan Shrivastava, Ari Holtzman
Most commonly used language models (LMs) are instruction-tuned and aligned using a combination of fine-tuning and reinforcement learning, causing them to refuse users requests deem…
cs.CL2025
AbsenceBench: Language Models Can't Tell What's Missing
Harvey Yiyun Fu, Aryan Shrivastava, Jared Moore +3
Large language models (LLMs) are increasingly capable of processing long inputs and locating specific information within them, as evidenced by their performance on the Needle in a…