HuggingFace
Reinforcing Dual-Path Reasoning in Spatial Vision Language Models
Spatial VLMs have made substantial progress in geometric perception, yet complex spatial reasoning requiring multi-st...
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HuggingFace
Native Active Perception as Reasoning for Omni-Modal Understanding
Passive models for long video understanding typically rely on a "watch-it-all" paradigm, processing frames uniformly ...
HuggingFace
SciOrch: Learning to Orchestrate Expert LLMs for Solving Frontier Multimodal Scientific Reasoning Tasks
Frontier scientific reasoning remains a major challenge for large language models (LLMs), where even the strongest co...
HuggingFace
Beyond Alignment: Value Diversity as a Collective Property in Multicultural Agent Systems
Multicultural multi-agent systems are increasingly deployed in globally diverse settings, where different agents are ...
arXiv
ReAge3D: Re-Aging 3D Faces with View Consistency
We present a novel framework for realistic and controllable 3D face re-aging which produces highly detailed, identity...
arXiv
The Measurement Gap in the Automation of EU Law: Benchmarking Doctrinal Legal Reasoning under the EU AI Act
Large language models now produce legal text of at least median quality, yet no existing benchmark can evaluate wheth...
arXiv
All Smoke, No Alarm: Oracle Signals in Agent-Authored Test Code
Software practitioners increasingly use AI coding agents that generate test code alongside production code in open so...
arXiv
IUU+DB: Tracking Illegal, Unreported, and Unregulated Fishing, Seafood Fraud, and Labor Abuse through LLM-driven Information Extraction
Illegal, unreported, and unregulated fishing (IUU) traditionally refers to fishing activities that violate applicable...
arXiv
Kolmogorov Regression for Robust Diffusion Policies
Finite-dimensional (FD) diffusion policies exhibit temporal drift owing to discretization artifacts that degrade long...
arXiv
DRFLOW: A Deep Research Benchmark for Personalized Workflow Prediction
Deep research (DR) systems are increasingly used for complex information-seeking tasks, but existing works mainly foc...
arXiv
The Stanford EDGAR Filings Dataset: Reconstructing U.S. Corporate and Financial Disclosures into Layout-Faithful and Token-Efficient Pretraining Data
As high-quality public web corpora become increasingly exhausted, clean long-context documents have become a scarce a...
arXiv
A Red-Team Study of Anthropic Fable 5 & Opus 4.8 Models
We evaluate the adversarial robustness of two frontier large language models (LLMs) developed by Anthropic, Fable 5 a...