arXiv:2604.10441v2 Announce Type: replace Abstract: Medical large language models are typically evaluated on idealized patient cases that do not reflect…
TRUST-SQL: Tool-Integrated Multi-Turn Reinforcement Learning for Text-to-SQL over Unknown Schemas
arXiv:2603.16448v3 Announce Type: replace Abstract: Text-to-SQL parsing has achieved remarkable progress under the Full Schema Assumption. However, this…
How LLMs Follow Instructions: Skillful Coordination, Not a Universal Mechanism
arXiv:2604.06015v2 Announce Type: replace Abstract: Instruction tuning is commonly assumed to endow language models with a domain-general ability to…
5 Python Techniques for Efficient Resource Orchestration
This article explains 5 Python techniques for efficient resource orchestration and sticks to what’s stable today, 3.11 and later for the core techniques,…
An Agentic Evaluation Framework for AI-Generated Scientific Code in PETSc
arXiv:2603.15976v2 Announce Type: replace Abstract: While LLMs have accelerated scientific code generation, comprehensively evaluating generated code…
Towards AI-Driven Policing: Interdisciplinary Knowledge Discovery from Police Body-Worn Camera Footage
arXiv:2504.20007v4 Announce Type: replace Abstract: This paper proposes a novel interdisciplinary framework for analyzing police body-worn camera (BWC)…
GPU-CFR: 80x Faster Counterfactual Regret Minimization by Compiling the Game to Static Dataflow and CUDA Graph Replay
arXiv:2609.11923v1 Announce Type: cross Abstract: Counterfactual regret minimization (CFR) is one of the few large numerical workloads that still runs…
Discovering Temporal Structure: An Overview of Hierarchical Reinforcement Learning
arXiv:2506.14045v2 Announce Type: replace Abstract: Developing agents capable of exploring, planning and learning in complex open-ended environments is a…
Turning AI Experiments into Enterprise Intelligence & Value
Enterprise AI isn’t limited by models. Companies can run test pilot programs, execute common tasks, and implement proof-of-concept models much faster than…
Beyond Prompting: Efficient and Robust Contextual Biasing for Speech LLMs via Logit-Space Integration (LOGIC)
arXiv:2601.15397v3 Announce Type: replace Abstract: The rapid emergence of new entities — driven by cultural shifts, evolving trends, and personalized…
AI Still Needs a Coach and Human Oversight Needs a Playbook
AI is everywhere you look, and professional football is no exception. The NFL has introduced the Digital Athlete, which uses data and AI to help teams…
Timely Clinical Diagnosis through Active Test Selection
arXiv:2510.18988v5 Announce Type: replace Abstract: There is growing interest in using machine learning (ML) to support clinical diagnosis, but most…
AI News Brief Hourly Summary 2026-09-12 23h : 13 posts
13 posts published in the last hour 20:32Domain-Specific Hallucination Detection in Large Language Models 20:32Biology-in-the-loop: Amortized Adaptive Hit Discovery in CRISPR Screens 20:32Generative Marketing Mix Modeling: A Causal Inference Framework Linking GEO and GEM to Business Impact 20:32The Last AI…
Domain-Specific Hallucination Detection in Large Language Models
arXiv:2609.11878v1 Announce Type: cross Abstract: Large language models generate fluent text that can contain unfaithful claims — a phenomenon known as…
Biology-in-the-loop: Amortized Adaptive Hit Discovery in CRISPR Screens
arXiv:2609.11877v1 Announce Type: cross Abstract: Many biological discovery problems require experiments to be selected sequentially under constrained…
Generative Marketing Mix Modeling: A Causal Inference Framework Linking GEO and GEM to Business Impact
arXiv:2609.11915v1 Announce Type: cross Abstract: Generative artificial intelligence changes how firms reach customers, but standard marketing data do not…
The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement
arXiv:2609.11873v1 Announce Type: cross Abstract: Recursive self-improvement (RSI) enables AI systems to turn experience and feedback into persistent…
OpenAI’s Sam Altman says it would be ‘ill-advised’ to go public in 2026
While OpenAI has filed confidentially for an IPO, the company will not be going public this year, according to CEO Sam Altman.