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@ -48,17 +48,17 @@ Applications without these 3 items won't be considered, but be sure to optimize
And it can't hurt to [join Discord](https://discord.gg/plasticlabs) and introduce yourself or engage with [our GitHub](https://github.com/plastic-labs).
## Research We're Excited About
[s1: Simple test-time scaling](https://arxiv.org/abs/2501.19393)
[Neural Networks Are Elastic Origami!](https://youtu.be/l3O2J3LMxqI?si=bhodv2c7GG75N2Ku)
[Titans: Learning to Memorize at Test Time](https://arxiv.org/abs/2501.00663v1)
[Mind Your Theory: Theory of Mind Goes Deeper Than Reasoning](https://arxiv.org/abs/2412.13631)
[Generative Agent Simulations of 1,000 People](https://arxiv.org/abs/2411.10109)
[DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning](https://arxiv.org/abs/2501.12948)
[Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains](https://arxiv.org/abs/2501.05707)
[s1: Simple test-time scaling](https://arxiv.org/abs/2501.19393)
[Neural Networks Are Elastic Origami!](https://youtu.be/l3O2J3LMxqI?si=bhodv2c7GG75N2Ku)
[Titans: Learning to Memorize at Test Time](https://arxiv.org/abs/2501.00663v1)
[Mind Your Theory: Theory of Mind Goes Deeper Than Reasoning](https://arxiv.org/abs/2412.13631)
[Generative Agent Simulations of 1,000 People](https://arxiv.org/abs/2411.10109)
[DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning](https://arxiv.org/abs/2501.12948)
[Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains](https://arxiv.org/abs/2501.05707)
[Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm](https://arxiv.org/pdf/2102.07350)
[Theory of Mind May Have Spontaneously Emerged in Large Language Models](https://arxiv.org/pdf/2302.02083v3)
[Think Twice: Perspective-Taking Improved Large Language Models' Theory-of-Mind Capabilities](https://arxiv.org/pdf/2311.10227)
[Representation Engineering: A Top-Down Approach to AI Transparency](https://arxiv.org/abs/2310.01405)
[Think Twice: Perspective-Taking Improved Large Language Models' Theory-of-Mind Capabilities](https://arxiv.org/pdf/2311.10227)
[Representation Engineering: A Top-Down Approach to AI Transparency](https://arxiv.org/abs/2310.01405)
[Theia Vogel's post on Representation Engineering Mistral 7B an Acid Trip](https://vgel.me/posts/representation-engineering/)
[A Roadmap to Pluralistic Alignment](https://arxiv.org/abs/2402.05070)
[Open-Endedness is Essential for Artificial Superhuman Intelligence](https://arxiv.org/pdf/2406.04268)