arXiv:2608.12715v1 Announce Type: cross Abstract: Generative speech enhancement faces three gaps: spectral models capture harmonic structure but often…
Category: AI
Mr3D-VL: A generalist vision language foundation model for Multiparametric 3D Magnetic Resonance Imaging
arXiv:2608.12689v1 Announce Type: cross Abstract: Multi-parametric magnetic resonance imaging (mpMRI) is a cornerstone for brain tumor diagnosis and…
Eric Picard, SVP of Product at Fluency – Interview Series
Eric Picard, Senior Vice President of Product at Fluency, is an experienced product and technology executive who has spent decades developing digital…
Tracing Provenance and Detecting Tampering with Complementary LLM Watermarks
arXiv:2608.12713v1 Announce Type: cross Abstract: Watermarking LLM-generated text is an important task for tracing its provenance. Existing LLM watermarks…
Google will now allow users to remove visible watermark from its AI generations
Turning off this setting won’t affect invisible benchmarks used to identify an AI generated file
Error-Aware Reverse Auction Mechanism for Large Language Model Routing
arXiv:2608.12719v1 Announce Type: cross Abstract: Routing each query to a cost-effective large language model (LLM) is critical for balancing quality and…
Study contradicts Anthropic and OpenAI claims that autonomous AI research is within reach
AI agents using Claude Opus 4.8 and GPT-5.6 Sol were given six days, $3,000 in API credits, and GPU access to independently write AI research papers. The…
Demand Transfer Estimation at Scale via Restricted Logit Modeling
arXiv:2608.12680v1 Announce Type: cross Abstract: Item demand forecasting is an integral component of store assortment optimization. Existing literature…
LLMs Are Not Good Strategists, Yet Memory-Enhanced Agency Boosts Reasoning
arXiv:2608.12626v1 Announce Type: cross Abstract: Strategic reasoning in Large Language Models (LLMs) within long-horizon environments is often limited by…
Custom reward functions for multi-turn reinforcement learning with Amazon Nova Forge
In multi-turn reinforcement learning, your custom reward function decides what the model actually learns. This post shows how to design a composite…