StepShield: When, Not Whether to Intervene on Rogue Agents — NeurIPS 2026 benchmark for temporal evaluation of AI agent guardrails (9,429 trajectories, step-level annotations)
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Sep 5, 2026 - Python
StepShield: When, Not Whether to Intervene on Rogue Agents — NeurIPS 2026 benchmark for temporal evaluation of AI agent guardrails (9,429 trajectories, step-level annotations)
The Neural Interface Foundation Challenge — NeurIPS 2026 Sydney. An open-source brain-decoding benchmark with four tracks across EEG, EMG, sleep, and BCI.
interactive, sub-16ms vector explainer built for the DataForge 2026 Pathway Track.It proves why classical State Space Models suffer exponential associative forgetting ($\rho(A)^L$) and visualizes how Pathway's Dragon Hatchling (BDH) synaptic plasticity and BDH CQ continuous latent reasoning eliminate interference without KV-cache explosion.
Phase transitions in AI scaling. The alignment tax is engineerable. 63 base + 39 frontier models. arXiv: 2605.18838, 2605.18840
Official website for the NeurIPS 2026 Workshop on AI for Chip Design.
CarbonBench: A Knowledge-Graph Benchmark for Retrieval-Augmented QA over Carbon Credit Documents (NeurIPS 2026 Datasets and Benchmarks Track, under review)
Self-service AIDaR submission skill, client, documentation, and synthetic pilot example
QuantAlpha: Deterministic Credit Assignment in Multi-Agent Financial Systems via Causal Provenance Ledgers (ACM SIGKDD 2026 FedMAS)
Our submission for the 2026 NeurIPS Education Track, focusing on Speculative Decoding
PE-Bench: 78 tasks across five converter families for evaluating evidence-grounded power-electronics design agents. Under review at NeurIPS 2026 E&D.
RigidBench v3.1 code/data artifact for evaluating referential invariance under semantic pressure in LLMs.
Community-maintained tracker for all 102 accepted NeurIPS 2026 workshops: deadlines, page limits, and low-effort submission tracks.
IAB — The First Workshop on Interpreting Agent Behavior @ NeurIPS 2026. Human-centered interpretation for understanding agents, humans, and interaction.
Code accompanying "Imagined Returns Predict Real Returns" — NeurIPS 2026 submission
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