Recent Papers on LLM Agents: Memory, Negotiation, and Structural Failure
Recent Papers on LLM Agents: Memory, Negotiation, and Structural Failure A recent set of arXiv papers looks at LLM agents from a less celebratory angle: not just what they can do, but why they keep failing in repeated, practical settings. ANNEAL examines how agents repeat the same mistakes when the symbolic structures behind task execution are never repaired. A negotiation paper asks whether modeling the other side is enough to bargain well. Another studies how persistent memory can hide safety problems through summarization. A fourth analyzes several agent interaction paradigms together inside one practical framework. Taken together, these papers point to a common shift: from adding more capability to understanding failure modes in process, memory, and coordination. [S1][S2][S9][S11] [S1] [S2] [S9] [S11] Introduction: what these papers are about All four papers appeared on arXiv in May 2026 and focus on different parts of the LLM agent stack. ANNEAL, from its title and abstract, is...