
Zijia Liu
@xwzliuzijia
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Visiting @uiuc_nlp | PhD Candidate @Tongji_Uni | #LLM #AI4S
Joined April 2024
RT @karpathy: Pleasure to come by the YC AI Startup School today! I'm told the recordings will be up "in the coming weeks", I'll link to it….
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RT @JiaxunZhang6: ⚠️ Rogue AI scientists? 🛡️ SafeScientist rejects unsafe prompts for ethical discoveries. Check out paper ➡️ ( https://t….
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4/ We're passionate about advancing time-aware AI! That's why we're releasing: .📚 Time-Bench: A large-scale (200k+ examples from 10 yrs of news) multi-task temporal reasoning dataset on 🤖 Time-R1 models: .#OpenSource.
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2/ How do we do it? #TimeR1 uses a novel 3-stage RL curriculum, driven by a meticulously designed dynamic rule-based reward system. This progressively builds:.🧠 Foundational temporal understanding .🔮 Future event prediction skills .✨ Creative future scenario generation
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RT @peixuanhakhan: (1/5) Want to make your LLM a skilled persuader?. Check out our latest paper: "ToMAP: Training Opponent-Aware LLM Persua….
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💥Time-R1 is here! Can a 3B LLM truly grasp time? 🤔 YES! . Excited to share our new work, Time-R1: Towards Comprehensive Temporal Reasoning in LLMs 🚀. Check it out:.📖 Paper: 💻 Code: #TemporalReasoning #RL #LLMs
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⚡️ Excited to share our PRX highlighted paper entitled "Early Predictor for the Onset of Critical Transitions in Networked Dynamical Systems"!.
A machine-learning framework predicts when a complex system, such as an ecosystem or a power grid, will undergo a critical transition.Read @PhysicsMagazine Viewpoint @xwzliuzijia @RuXiao56423 @TingtingGao314 @JMurdochMoore @eegyan
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RT @xinyazhang_: Excited to share our #NeurIPS2023 conference paper. 🔥🚀Attentive Transfer Entropy to Exploit Transient Emergence of Coupli….
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