1 citations · 1 across the 6 of their papers we have counts for
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Beat the long tail: Distribution-Aware Speculative Decoding for RL Training
Zelei Shao, Vikranth Srivatsa, Sanjana Srivastava +12
Reinforcement learning(RL) post-training has become essential for aligning large language models (LLMs), yet its efficiency is increasingly constrained by the rollout phase, where…
OSWorld-Human: Benchmarking the Efficiency of Computer-Use Agents
Reyna Abhyankar, Qi Qi, Yiying Zhang
Generative AI is being leveraged to solve a variety of computer-use tasks involving desktop applications. State-of-the-art systems have focused solely on improving accuracy on lead…
Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning
Zijian He, Reyna Abhyankar, Vikranth Srivatsa +1
Today's gen-AI workflows that involve multiple ML model calls, tool/API calls, data retrieval, or generic code execution are often tuned manually in an ad-hoc way that is both time…