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Found 2 papers, 2 papers with code
Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias
Recent studies show that instruction tuning (IT) and reinforcement learning from human feedback (RLHF) improve the abilities of large language models (LMs) dramatically.
Models In a Spelling Bee: Language Models Implicitly Learn the Character Composition of Tokens
Standard pretrained language models operate on sequences of subword tokens without direct access to the characters that compose each token's string representation.
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