6 papers · 1 filter
Neural Quadratic Forms: A Unified Minimal Model for Sudden Learning and Scaling Laws
Liu Ziyin, Yizhou Xu, Tomaso Poggio +1
Neural networks trained by gradient descent on a smooth cost function can nevertheless learn in steps: the cost holds on long plateaus and then drops abruptly. Meanwhile, training…
Geometry of Reason: Spectral Signatures of Valid Mathematical Reasoning
Valentin Noël
Verifying whether a language model is genuinely reasoning or pattern-matching remains an open problem: learned verifiers are expensive, and output-based heuristics are brittle. We…
Spectral Guardrails for Agents in the Wild: Detecting Tool Use Hallucinations via Attention Topology
Valentin Noël
Deploying autonomous agents in the wild requires reliable safeguards against tool use failures. We propose a training free guardrail based on spectral analysis of attention topolog…
Spectral Archaeology: The Causal Topology of Model Evolution
Valentin Noël
Behavioral benchmarks tell us \textit{what} a model does, but not \textit{how}. We introduce a training-free mechanistic probe using attention-graph spectra. Treating each layer as…
HalluGraph: Auditable Hallucination Detection for Legal RAG Systems via Knowledge Graph Alignment
Valentin Noël, Elimane Yassine Seidou, Charly Ken Capo-Chichi +1
Legal AI systems powered by retrieval-augmented generation (RAG) face a critical accountability challenge: when an AI assistant cites case law, statutes, or contractual clauses, pr…
Catching Contamination Before Generation: Spectral Kill Switches for Agents
Valentin Noël
Agentic language models compose multi step reasoning chains, yet intermediate steps can be corrupted by inconsistent context, retrieval errors, or adversarial inputs, which makes p…