Nov 21, 2022 · TEMPERA can efficiently leverage prior knowledge, is adaptive to different queries and provides an interpretable prompt for every query.

Feb 1, 2023 · TEMPERA can efficiently leverage prior knowledge, is adaptive to different queries and provides an interpretable prompt for every query.

To this end, we propose the concept of test-time editing through reinforcement learning (RL) that allows the agent to perform different editing techniques at ...

Nov 21, 2022 · To this end, we propose the concept of test-time editing through reinforcement learning (RL) that allows the agent to perform different editing ...

This work designs a novel action space that allows flexible editing of the initial prompts covering a wide set of commonly-used components like instructions ...

Jul 24, 2024 · Bibliographic details on TEMPERA: Test-Time Prompt Editing via Reinforcement Learning.

This is an implementation of the method proposed in TEMPERA: Test-Time Prompting via Reinforcement Learning

May 2, 2023 · 6/9 TEMPERA: Test-Time Prompt Editing via Reinforcement Learning https://t.co/15oTwy3j9z — Design a novel action space that allows flexible ...

Test-Time Editing via RL: The RL agent is trained to optimize the performance of a downstream task. At test-time, given a query, the agent adopts an attention- ...

TEMPERA: Test-Time Prompt Editing via Reinforcement Learning. Preprint 2022.11. Tianjun Zhang, Xuezhi Wang, Denny Zhou, Dale Schuurmans, Joseph E. Gonzalez ...