Multimodal Training to Unimodal Deployment: Leveraging Unstructured Data During Training to Optimize Structured Data Only Deployment
arXiv:2603.22530v1 Announce Type: new Abstract: Unstructured Electronic Health Record (EHR) data, such as clinical notes, contain clinical contextual observations that are not directly reflected in structured data fields. This additional information can substantially improve model learning. However, due to their...
A Foundation Model for Instruction-Conditioned In-Context Time Series Tasks
arXiv:2603.22586v1 Announce Type: new Abstract: In-context learning (ICL) allows a model to adapt at inference time by conditioning on examples rather than updating parameters. Existing time-series foundation models use implicit positional context, retrieval, or task-specific objectives, but rarely explicit instruction-conditioned...
Justice Scalia’s uncertain legacy
Controlling Opinions is a recurring series by Richard Re that explores the interaction of law, ideology, and discretion at the Supreme Court. On the surface, Justice Antonin Scalia’s legacy has […]The postJustice Scalia’s uncertain legacyappeared first onSCOTUSblog.
Temporary Protected Status and the Supreme Court: an explainer
The Supreme Court announced last week that it will hear argument in late April on the Trump administration’s effort to remove protected immigration status from Syrian and Haitian nationals. Its […]The postTemporary Protected Status and the Supreme Court: an explainerappeared...
All of DOGE’s work could be undone as lawsuit against Musk proceeds
Musk’s X posts bragging about DOGE may trigger reversals of its biggest wins.
With $3.5B in fresh capital, Kleiner Perkins is going all in on AI
The fundraise includes $1 billion for investing in early-stage startups, and $2.5 billion for late-stage growth businesses.
OpenAI’s Sora was the creepiest app on your phone — now it’s shutting down
Though the underlying Sora 2 video- and audio-generation model is scarily impressive, there was not sustained interest in an AI-only social feed.
Spotify tests new tool to stop AI slop from being attributed to real artists
The idea behind the new tool is to give artists more control over which tracks are associated with their name on Spotify.
Databricks bought two startups to underpin its new AI security product
With an overflowing war chest from its recent $5 billion raise, Databricks is buying startups and looking for more. It acquired Antimatter and SiftD.ai.
Arm is releasing the first in-house chip in its 35-year history
Arm is producing its own CPU for the first time. It developed the CPU with Meta, which is also the chip's first customer.
Google TV’s new Gemini features keep fans updated on sports teams and more
Three Gemini-powered features are coming to your Google TV. This includes visual responses, deep dives, and sports briefs.
Talat’s AI meeting notes stay on your machine, not in the cloud
The subscription-free AI meeting notes app is a local-first twist on notetaking tools like Granola.
Doss raises $55M for AI inventory management that plugs into ERP
Doss's AI-powered inventory management system integrates with existing ERP systems. The Series B round was co-led by Madrona and Premji Invest.
Meet the former Apple designer building a new AI interface at Hark
The company said it would design models, hardware, and interfaces in tandem to deliver a "seamless end-to-end personal intelligence product."
Mirage raises $75M to continue building models for its AI video-editing app Captions
Mirage, the maker of video-editing app Captions, has raised $75 million in growth financing from General Catalyst's Customer Value Fund (CVF).
Levers of Default: Can the President Unilaterally Alter the Terms of the National Debt?
The inviolability of America’s $30 trillion debt is a cornerstone of global markets and the U.S. economy. This Essay identifies a critical loophole: the President’s underappreciated power to dramatically change its legal structure—and argues that Congress should act to prevent...
Introducing the Evaluations & Datasets Track at NeurIPS 2026
Reasoning Traces Shape Outputs but Models Won't Say So
arXiv:2603.20620v1 Announce Type: new Abstract: Can we trust the reasoning traces that large reasoning models (LRMs) produce? We investigate whether these traces faithfully reflect what drives model outputs, and whether models will honestly report their influence. We introduce Thought Injection,...
Multi-RF Fusion with Multi-GNN Blending for Molecular Property Prediction
arXiv:2603.20724v1 Announce Type: new Abstract: Multi-RF Fusion achieves a test ROC-AUC of 0.8476 +/- 0.0002 on ogbg-molhiv (10 seeds), placing #1 on the OGB leaderboard ahead of HyperFusion (0.8475 +/- 0.0003). The core of the method is a rank-averaged ensemble...
Fast-Slow Thinking RM: Efficient Integration of Scalar and Generative Reward Models
arXiv:2603.20212v1 Announce Type: new Abstract: Reward models (RMs) are critical for aligning Large Language Models via Reinforcement Learning from Human Feedback (RLHF). While Generative Reward Models (GRMs) achieve superior accuracy through chain-of-thought (CoT) reasoning, they incur substantial computational costs. Conversely,...
GMPilot: An Expert AI Agent For FDA cGMP Compliance
arXiv:2603.20815v1 Announce Type: new Abstract: The pharmaceutical industry is facing challenges with quality management such as high costs of compliance, slow responses and disjointed knowledge. This paper presents GMPilot, a domain-specific AI agent that is designed to support FDA cGMP...
Governance-Aware Vector Subscriptions for Multi-Agent Knowledge Ecosystems
arXiv:2603.20833v1 Announce Type: new Abstract: As AI agent ecosystems grow, agents need mechanisms to monitor relevant knowledge in real time. Semantic publish-subscribe systems address this by matching new content against vector subscriptions. However, in multi-agent settings where agents operate under...
Efficient Counterfactual Reasoning in ProbLog via Single World Intervention Programs
arXiv:2603.20505v1 Announce Type: new Abstract: Probabilistic Logic Programming (PLP) languages, like ProbLog, naturally support reasoning under uncertainty, while maintaining a declarative and interpretable framework. Meanwhile, counterfactual reasoning (i.e., answering ``what if'' questions) is critical for ensuring AI systems are robust...
gUFO: A Gentle Foundational Ontology for Semantic Web Knowledge Graphs
arXiv:2603.20948v1 Announce Type: new Abstract: gUFO is a lightweight implementation of the Unified Foundational Ontology (UFO) suitable for Semantic Web OWL 2 DL applications. UFO is a mature foundational ontology with a rich axiomatization and that has been employed in...
Does AI Homogenize Student Thinking? A Multi-Dimensional Analysis of Structural Convergence in AI-Augmented Essays
arXiv:2603.21228v1 Announce Type: new Abstract: While AI-assisted writing has been widely reported to improve essay quality, its impact on the structural diversity of student thinking remains unexplored. Analyzing 6,875 essays across five conditions (Human-only, AI-only, and three Human+AI prompt strategies),...
Attention in Space: Functional Roles of VLM Heads for Spatial Reasoning
arXiv:2603.20662v1 Announce Type: new Abstract: Despite remarkable advances in large Vision-Language Models (VLMs), spatial reasoning remains a persistent challenge. In this work, we investigate how attention heads within VLMs contribute to spatial reasoning by analyzing their functional roles through a...
NeurIPS 2026 Evaluations & Datasets Track Call for Papers