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Jia-Yi Nie

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Preprint Sep 2026

AReaL-TIK: Stateful Agentic Optimization of Unified RL Kernels through an Optimization IR

Reinforcement learning (RL) post-training often uses distinct GPU kernels for rollout and policy update. In synchronous PPO and GRPO, numerical disagreement can perturb ratios between current token probabilities and those assigned during rollout. Recomputing rollout log-probabilities with the policy-update backend avoi...

Ran Yan, You-He Jiang, Jia-Yi Nie et al. · 0 citations
Preprint Aug 2026

When Does Disaggregation Pay? Simulating Prefill--Decode--Attention--FFN Specialization for Agentic LLM Inference

Agentic inference now dominates the LLM inference landscape, requiring LLMs to actively engage in multi-turn interactions with tool-calling capabilities. This introduces a more complex workload for the underlying inference system: serving stages such as prefill and decode exhibit substantially different behaviors and d...

Przemyslaw Forys, Haoran Wu, Can Xiao et al. · 0 citations

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