5 papers
Beyond Text-Dominance: Understanding Modality Preference of Omni-modal Large Language Models
Xinru Yan, Boxi Cao, Yaojie Lu +4
Native Omni-modal Large Language Models (OLLMs) have shifted from pipeline architectures to unified representation spaces. However, this native integration gives rise to a critical…
: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities
Physical Intelligence, Bo Ai, Ali Amin +85
We present a new robotic foundation model, called , that can enable strong out-of-the-box performance in a wide range of scenarios. can follow diverse language…
Adversarial Arena: Crowdsourcing Data Generation through Interactive Competition
Prasoon Goyal, Sattvik Sahai, Michael Johnston +14
Post-training Large Language Models requires diverse, high-quality data which is rare and costly to obtain, especially in low resource domains and for multi-turn conversations. Com…
When Missing Becomes Structure: Intent-Preserving Policy Completion from Financial KOL Discourse
Yuncong Liu, Yuan Wan, Zhou Jiang +1
Key Opinion Leader (KOL) discourse on social media is widely consumed as investment guidance, yet turning it into executable trading strategies without injecting assumptions about…
Amazon Nova AI Challenge -- Trusted AI: Advancing secure, AI-assisted software development
Sattvik Sahai, Prasoon Goyal, Michael Johnston +13
AI systems for software development are rapidly gaining prominence, yet significant challenges remain in ensuring their safety. To address this, Amazon launched the Trusted AI trac…