2 papers
cs.SE2026
The Invisible Lottery: How Subtle Cues Steer Algorithm Choice in LLM Code Generation
Akanksha Narula, Mofasshara Binte Rafique, Laurent Bindschaedler
Large language models (LLMs) now generate substantial production code, often for tasks with multiple valid algorithmic solutions. Incidental prompt cues, meaning contextual words o…
cs.AI2026
ClawVM: Harness-Managed Virtual Memory for Stateful Tool-Using LLM Agents
Mofasshara Rafique, Laurent Bindschaedler
Stateful tool-using LLM agents treat the context window as working memory, yet today's agent harnesses manage residency and durability as best-effort, causing recurring failures: l…