DeepEyesV2 uses a two-stage cold-start plus reinforcement learning pipeline to produce an agentic multimodal model that adaptively invokes tools and outperforms direct RL on real-world reasoning benchmarks.
arXiv preprint arXiv:2502.04567 , year=
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HawkesLLM pairs a multivariate Hawkes process with language models to model temporal influence cascades in agentic text simulation and reports improved late-stage semantic alignment on a GDELT news case study under limited memory.
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DeepEyesV2: Toward Agentic Multimodal Model
DeepEyesV2 uses a two-stage cold-start plus reinforcement learning pipeline to produce an agentic multimodal model that adaptively invokes tools and outperforms direct RL on real-world reasoning benchmarks.
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HawkesLLM: Semantic Uncertainty Propagation in Agentic Text Simulation
HawkesLLM pairs a multivariate Hawkes process with language models to model temporal influence cascades in agentic text simulation and reports improved late-stage semantic alignment on a GDELT news case study under limited memory.