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cs.AI2026
Know When to Trust the Skill: Delayed Appraisal and Epistemic Vigilance for Single-Agent LLMs
Eren Unlu
As large language models (LLMs) transition into autonomous agents integrated with extensive tool ecosystems, traditional routing heuristics increasingly succumb to context pollutio…
cs.AI2026
Don't Start What You Can't Finish: A Counterfactual Audit of Support-State Triage in LLM Agents
Eren Unlu
Current agent evaluations largely reward execution on fully specified tasks, while recent work studies clarification [11, 22, 2], capability awareness [9, 1], abstention [8, 14], a…
cs.AI2026
Preservation Is Not Enough for Width Growth: Regime-Sensitive Selection of Dense LM Warm Starts
Eren Unlu
Width expansion offers a practical route to reuse smaller causal-language-model checkpoints, but selecting a widened warm start is not solved by zero-step preservation alone. We st…