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Tianjin University, Academy
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Fact-graph orchestration enables mathematical reasoning agents to tackle complex proofs more effectively than ever before.
PAIWorld resolves critical multi-view inconsistencies in robotic manipulation, outperforming existing models and unlocking new applications in the process.
Today's LLM agents are surprisingly passive, missing opportunities to proactively learn and remember user preferences that could dramatically improve their long-term usefulness.
Unlock interdisciplinary breakthroughs: SciAtlas provides a panoramic scientific evolution network of 43M papers, enabling AI agents to navigate complex logical connections and discover non-obvious insights.
Stop wasting compute on unreliable rollouts and easy frames: Stream-R1 adaptively focuses video diffusion distillation where it matters most, boosting quality without architectural changes or added inference cost.
Semantic similarity is a poor proxy for agent performance: ranking agents based on execution-aware probing beats description-based retrieval by a wide margin.
LLMs are still wide open to jailbreaks, but this new method cuts attack success rates by nearly 5x by monitoring *intermediate* reasoning steps, not just the final output.
