arXiv:2609.00487v1 Announce Type: cross Abstract: Frontier language models that refuse harmful single-turn prompts often comply when the same intent is…
Tag: AI
The Builders Stage brings practical strategies for scaling startups to TechCrunch Disrupt 2026
The Builders Stage is returning to TechCrunch Disrupt, bringing together founders, startup operators, and investors for practical conversations on what it…
Beyond Token Positions: Safety Alignment Across Denoising Steps in Diffusion Language Models
arXiv:2609.00495v1 Announce Type: cross Abstract: Diffusion large language models (dLLMs) generate text through iterative denoising rather than…
Higher Structures in Deep Learning
arXiv:2609.00472v1 Announce Type: cross Abstract: We provide an expository introduction on the importance of higher-arity tensor operations to deep…
Does Reasoning Mitigate Backdoor Attacks? A Neuro-Symbolic Perspective
arXiv:2609.00464v1 Announce Type: cross Abstract: Neuro-Symbolic (NeSy) AI has recently emerged as a novel paradigm to enable trustworthy AI, aiming at…
HBQ: Hierarchical Scaling Block Quantization with Hardware-Efficiency-Aware Design for Accurate LLM Inference
arXiv:2609.00450v1 Announce Type: cross Abstract: Block Quantization (BQ) is a promising approach for efficient deployment of large language models…
Operational Regimes in Non-Convex Optimization: A Multiplier-Based Taxonomy
arXiv:2609.00471v1 Announce Type: cross Abstract: This paper introduces a structural taxonomy for constrained non-convex optimization based on the…
TechCrunch Disrupt 2026’s new Real World AI Stage features Nvidia, robots, and extinct animals
On our new Real World AI stage, we’ll be focusing on the intersection between the digital and physical, and all the ways we’ll continue to see a blending…
Investigating Hyperparameter Optimization and Transferability for ES-HyperNEAT: A TPE Approach
arXiv:2609.00449v1 Announce Type: cross Abstract: Neuroevolution of Augmenting Topologies (NEAT) and its advanced version, Evolvable-Substrate HyperNEAT…
Adapting Without Gradients: Affine Statistics Transport and What Its Certificate Can Tell You
arXiv:2609.00374v1 Announce Type: cross Abstract: Test-time adaptation (TTA) typically assumes that model parameters can be updated at inference time.…