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cs.CL2026
Entropic Context Shaping: Information-Theoretic Filtering for Context-Aware LLM Agents
Hyunjun Kim
Context engineering for large language model (LLM) agents requires distinguishing pragmatically useful information from misleading distractors. We introduce Entropic Context Shapin…
cs.CL2026
Defensive M2S: Training Guardrail Models on Compressed Multi-turn Conversations
Hyunjun Kim
Guardrail models are essential for ensuring the safety of Large Language Model (LLM) deployments, but processing full multi-turn conversation histories incurs significant computati…