arXiv AI
Toward Latent Language Model Skills Steering and Optimization: An Empirical Study
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Neural Procedural Memory: Empowering LLM Agents with Implicit Activation Steering
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Neural Procedural Memory: Empowering LLM Agents with Implicit Activation Steering
While Large Language Models (LLMs) excel as static solvers, transforming them into autonomous agents remains challenging. This transition requires continuous environmental interaction, yet current agents lack the necessary persistent procedural memory.
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The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook
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SCRIBE: Structured Mid-Level Supervision for Tool-Using Language Models
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From Context to Skills: Can Language Models Learn from Context Skillfully?
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Do LLMs Experience an Internal Polylogue? Investigating Reasoning through the Lens of Personas
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