3 citations · 3 across the 5 of their papers we have counts for
5 papers
Thomson: Continual Learning of Frontier Models for SovereignAI
Shengzhuang Chen, Jerrod Parker, Yejin Bang +23
The development of frontier models is commonly perceived to be the exclusive remit of a small number of heavily funded players, creating an information, economic and power asymmetr…
Test-Time Scaling in the Wild: Why Exploitation, Not Exploration, Is the Bottleneck
Davide Romano, Kanak Raj, Jerrod Parker +1
Test-time scaling (TTS) improves language model outputs by spending additional inference compute - generating multiple candidates, searching over partial sequences, or iteratively…
Neural Machine Translation with Monte-Carlo Tree Search
Jerrod Parker, Jerry Zikun Chen
Recent algorithms in machine translation have included a value network to assist the policy network when deciding which word to output at each step of the translation. The addition…
Adaptive Attention Span in Computer Vision
Jerrod Parker, Shakti Kumar, Joe Roussy
Recent developments in Transformers for language modeling have opened new areas of research in computer vision. Results from late 2019 showed vast performance increases in both obj…
Adaptive Transformers in RL
Shakti Kumar, Jerrod Parker, Panteha Naderian
Recent developments in Transformers have opened new interesting areas of research in partially observable reinforcement learning tasks. Results from late 2019 showed that Transform…