Summary of Bayesprompt: Prompting Large-scale Pre-trained Language Models on Few-shot Inference Via Debiased Domain Abstraction, by Jiangmeng Li et al.
BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction
by Jiangmeng Li, Fei Song, Yifan Jin, Wenwen Qiang, Changwen Zheng, Fuchun Sun, Hui Xiong
First submitted to arxiv on: 25 Jan 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes a new approach called BayesPrompt that aims to reduce the gap between pre-trained language models (PLMs) and downstream tasks by generating discriminative prompts that guide PLMs towards specific few-shot patterns. The authors identify the problem of prompt-tuning methods failing to generalize to specific few-shot patterns as due to the over-multitudinous conceptual knowledge contained in PLMs and the abridged knowledge for target downstream domains. To address this, they propose a simple yet effective approach that leverages known distributions to approximate the debiased factual distributions of target domains and generates prompts based on these approximations. The proposed method achieves state-of-the-art performance on benchmarks. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about finding a way to make language models better at doing specific tasks, like answering questions or summarizing text. Right now, these models are really good at understanding lots of general information, but they struggle when it comes to understanding specific topics or patterns. The researchers came up with an idea called BayesPrompt that helps the models understand what’s important by generating special prompts that guide them towards the right answers. This could make language models even more useful for things like chatbots, virtual assistants, and natural language processing. |
Keywords
» Artificial intelligence » Few shot » Natural language processing » Prompt
