lift yourself up: retrieval-augmented text generation with self memory - Axtarish в Google
3 мая 2023 г. · We propose a novel framework, selfmem, which addresses this limitation by iteratively employing a retrieval-augmented generator to create an unbounded memory ...
With direct access to human-written reference as memory, retrieval-augmented generation has achieved much progress in a wide range of text generation tasks.
With direct access to human-written reference as memory, retrieval-augmented generation has achieved much progress in a wide range of text generation tasks.
30 мая 2024 г. · With direct access to human-written reference as memory, retrieval-augmented generation has achieved much progress in a wide range of text ...
With direct access to human-written reference as memory, retrieval-augmented generation has achieved much progress in a wide range of text generation tasks.
This paper proposes a novel framework, selfmem, which addresses the duality of the primal problem: better generation also prompts better memory by ...
23 дек. 2023 г. · With direct access to human-written reference as memory, retrieval-augmented generation has achieved much progress in a wide range of text ...
3 мая 2023 г. · With direct access to human-written reference as memory, retrieval-augmented generation has achieved much progress in a wide range of text ...
We evaluate the effectiveness of selfmem on three distinct text generation tasks: neural machine translation, abstractive text summarization, ...
With direct access to human-written reference as memory, retrieval-augmented generation has achieved much progress in a wide range of text generation tasks.
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