ToM2Vec: Latent Tokens Improve LLM Agent Collaboration
Latent ToM tokens let agents represent uncertainty about partners in a continuous space, outperforming text-based reasoning.
- Tokens are trained to...

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Curated daily applied AI research papers on vision, language models, agents, and robotics
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Latent ToM tokens let agents represent uncertainty about partners in a continuous space, outperforming text-based reasoning.
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Large temporal systems pose a core challenge: with 3,000 variables, nearly 9 million possible causal links must be evaluated, yet existing methods are...
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SPRA creates persistent research objects—Problems, Contributions, Components, Measures, and Findings—linked by typed relations like evaluates and...
Can coding agents improve more reliably by evolving their surrounding harness alongside the policy?
Self-HPO alternates two steps: the current policy...