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Author

Shreyas Pimpalgaonkar

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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
#natural language process... Preprint Sep 2026

When Agents Slow Down: Understanding LLM Agents'Test-Time Strategies via Elo-per-token Analysis

This work defines the scaling inflection point as the per-session budget where marginal Elo gains match the independent-sampling reference, and proposes Elo-per-token analysis, which tracks the best solution found at each token budget and uses a Bradley-Terry model to aggregate within-task orderings into Elo ratings ac...

Kai-Yuan Liu, Qiu-Yang Mang, Bo-Fei Peng et al. · 3 citations

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