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DRG-MAPPO Brings Graph Attention and Dynamic Roles to Cooperative Air Combat
A new hierarchical multi-agent reinforcement learning framework, DRG-MAPPO, combines graph attention with dynamic role assignment...
New Framework Boosts Multilingual Entity Linking for Rare Entities
A training-free vision-language framework that iteratively retrieves and reasons over Wikipedia improves multimodal entity linking...
IdeaAMBIG Benchmark Finds LLMs Struggle to Spot Missing Details in Research Ideas
A new Hugging Face paper introduces IdeaAMBIG, a 660-instance benchmark testing whether research method specifications are complet...
GLIE Compresses Visual Document Retrieval by Regenerating Embeddings on Demand
A new Hugging Face paper introduces Generative Late-Interaction Embeddings (GLIE), which stores only a few vectors per page and re...
Hugging Face Paper Targets 'Verdict-Preserving' Errors in Autoformalization
A new paper formalizes Verdict-Preserving-Unfaithfulness, a failure mode where flawed formal translations still pass solver checks...
Cohere Labs' Tiny Aya L2-Thinker Reasons in 60 Languages Without Per-Language Training
A new 3.35B-parameter model from Cohere Labs achieves over 93% in-language reasoning across 60 languages by optimizing supervised...
TempCloze Benchmark Tests Whether Video-LLMs Can Find the Missing Middle
Hugging Face paper introduces TempCloze, a video cloze benchmark that asks Video-LLMs to pick the true missing middle segment from...
Hugging Face Releases Open Recipe for IMO Gold With Nemotron
A new open pipeline built on post-trained Nemotron 3 Ultra checkpoints scored 30 of 42 points at IMO 2026, reaching the gold-medal...
FreeFlow: A Bias-Free Hierarchical Transformer Sets New Optical Flow Records
Hugging Face paper introduces FreeFlow, a hierarchical transformer that drops flow-specific inductive biases such as correlation v...
Hugging Face Paper Unveils MaP-WAM, a Memory-as-Plans Framework for Non-Markovian Robot Manipulation
MaP-WAM separates memory-grounded planning from plan-conditioned execution, using episodic segment records and progress-calibrated...
X-AuT Cuts Speech-LLM Audio Encoders While Improving Accuracy
A new progressive compression framework from XPENG-AI prunes audio-encoder layers in speech LLMs and recovers accuracy through cro...
Mi-Ripple Targets 'Digital Ripple' Artifacts Left by Iterative AI Image Editing
A new Hugging Face paper introduces Mi-Ripple, a diagnosis-guided restoration workflow that separates periodic lattice artifacts f...