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TimeLens2 outperforms models with up to 397B parameters by effectively grounding temporal evidence in videos, redefining expectations for multimodal LLM capabilities.
ACE-Brain-0.5 unifies spatial reasoning and action generation in embodied AI, achieving remarkable performance improvements across multiple benchmarks.
Cortex revolutionizes corpus construction by replacing flat document collections with a structured Ontological Corpus Graph that enhances data quality and inter-domain associations.
An optimal knowledge distribution can significantly enhance LLM knowledge boundaries, outperforming traditional synthesis methods across multiple benchmarks.
Achieving optimal throughput in permissionless blockchains, OptChain sets a new standard that existing protocols struggle to meet.
By harnessing implicit supervision from environment dynamics, EnvRL boosts RL success rates by over 4% on long-horizon tasks, revealing a new frontier in agentic learning.
Current LLMs and VLMs struggle with multi-step reasoning in long videos, often failing to maintain temporal coherence and procedural validity, as revealed by a new benchmark of hour-long narratives.
Open-source multimodal models just leveled up: InternVL3 rivals closed-source titans like GPT-4o by pre-training vision and language together from the start.
