Author

Tarun Suresh

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#artificial intelligence Preprint Oct 2026

ThunderSyncRL: Lossless Acceleration of Agentic Reinforcement Learning

Language models are moving beyond generating answers to pursuing long-horizon goals in interactive environments. Post-training these agents requires long, heterogeneous trajectories, and synchronous systems leave learner engines idle until rollout and verification finish. To squeeze out these pipeline bubbles, asynchro...

Seil Kang, Hangoo Kang, Tarun Suresh et al. · 0 citations

#machine learning Preprint Sep 2026

Block Parallelism For Efficient Distributed Long-Context Diffusion Language Model Training

To scale BP to long contexts, this work introduces context-sharded block parallelism (CSBP), which keeps corrupted K/V and gradients local, avoids replicated clean prefixes, and preserves BDLM training semantics.

Tarun Suresh, Pranshu Chaturvedi, Hangoo Kang et al. · 0 citations