LLMs implicitly plan answer positions during MCQ generation, as shown by predictive signals in hidden representations and controllable shifts via activation steering.
Emergent response planning in llm
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The paper unifies perspectives on Long CoT in reasoning LLMs by introducing a taxonomy, detailing characteristics of deep reasoning and reflection, and discussing emergence phenomena and future directions.
LLMs are reframed as a degenerate case of world models with a continuous spectrum of architectures from next-token prediction to joint-embedding predictive architectures.
citing papers explorer
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Do Large Language Models Plan Answer Positions? Position Bias in Multiple-Choice Question Generation
LLMs implicitly plan answer positions during MCQ generation, as shown by predictive signals in hidden representations and controllable shifts via activation steering.
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Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models
The paper unifies perspectives on Long CoT in reasoning LLMs by introducing a taxonomy, detailing characteristics of deep reasoning and reflection, and discussing emergence phenomena and future directions.
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From Tokens to States: LLMs as a Special Case of World Models and the Continuous Path Beyond
LLMs are reframed as a degenerate case of world models with a continuous spectrum of architectures from next-token prediction to joint-embedding predictive architectures.