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Led by US, exits from gold ETFs continue for the 5th week in a row Domain-Guided Prompting Boosts Segment Anything Model for Seismic Interpretation Spokes Optimizes Diverse Pretraining Data Selection for LLMs, Boosting Performance Medical Heuristic Learning: LLM-Driven Framework for Interpretable Clinical Decision Rules Commodore Callback 8020 Brings Digital Detox With Modern Apps and Retro Design PreLort: Prefix-Nested LoRA Enables Federated Fine-Tuning Across Heterogeneous Hardware Ranks Research Shows 'Retrieve, Don't Retrain' Approach Cuts AI Model Adaptation Costs Multi-Modal Attention Model Achieves 94.9% Accuracy in Automated Disaster Damage Classification Using Satellite Imagery AdaSTORM Breakthrough Scales LLM Reasoning to Thousand-Node Dynamic Graphs, Paves Way for Supply Chain AI Finance survived the quantum threat by preparing early. Mythos won't make it so easy Led by US, exits from gold ETFs continue for the 5th week in a row Domain-Guided Prompting Boosts Segment Anything Model for Seismic Interpretation Spokes Optimizes Diverse Pretraining Data Selection for LLMs, Boosting Performance Medical Heuristic Learning: LLM-Driven Framework for Interpretable Clinical Decision Rules Commodore Callback 8020 Brings Digital Detox With Modern Apps and Retro Design PreLort: Prefix-Nested LoRA Enables Federated Fine-Tuning Across Heterogeneous Hardware Ranks Research Shows 'Retrieve, Don't Retrain' Approach Cuts AI Model Adaptation Costs Multi-Modal Attention Model Achieves 94.9% Accuracy in Automated Disaster Damage Classification Using Satellite Imagery AdaSTORM Breakthrough Scales LLM Reasoning to Thousand-Node Dynamic Graphs, Paves Way for Supply Chain AI Finance survived the quantum threat by preparing early. Mythos won't make it so easy
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vision-language-action

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FineVLA Framework Improves Robot Instruction Following by 62.7% in Real-World Dual-Arm Manipulation Technology
Artificial Intelligence #vision-language-action#robotics

FineVLA Framework Improves Robot Instruction Following by 62.7% in Real-World Dual-Arm Manipulation

Researchers introduce FineVLA, an open framework for fine-grained instruction alignment in vision-language-action (VLA) robot policies. The framework includes a dataset of 47,159 human-verified trajectories, a benchmark with 500 videos and 11,631 atomic facts, and a steerable policy that improves real-world dual-arm manipulation success from 49.9% (raw-only) to 62.7%.

Jun 16, 2026 2 sources
X-Tokenizer: Semantic Action Tokenizer Boosts Robot Control by 13.5% Over FAST Technology
Artificial Intelligence #x-tokenizer#multimodal

X-Tokenizer: Semantic Action Tokenizer Boosts Robot Control by 13.5% Over FAST

Researchers propose X-Tokenizer, a new action tokenizer that treats tokenization as semantic interface learning rather than mere compression. Using a lightweight encoder-Semantic Residual Quantization (SRQ)-decoder architecture, it improves multimodal grounding by 13.5% and long-horizon task performance by 8.25 points over existing methods like FAST.

Jun 16, 2026 1 source