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cs.AI2026
Governance Decay: How Context Compaction Silently Erases Safety Constraints in Long-Horizon LLM Agents
Shiyang Chen
Modern LLM agents increasingly rely on context compaction, summarization, or eviction to keep long-running sessions within a token budget. We show that this context-management laye…
cs.AI2026
Looking Is Not Picking: An Attention-Segment Account of Tool-Selection Failures in LLM Agents
Shiyang Chen
LLM agents mis-call tools, and the natural guess is that the model failed to see the right tool in a crowded harness. We show the opposite through a lens concurrent work sets aside…
cs.LG2026
Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
NVIDIA, :, Aakshita Chandiramani +544
We describe the pre-training, post-training, and quantization of Nemotron 3 Super, a 120 billion (active 12 billion) parameter hybrid Mamba-Attention Mixture-of-Experts model. Nemo…