File:Fine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over Wikidata - Figure 1.jpg
From Wikimedia Commons, the free media repository
Jump to navigation
Jump to search
![File:Fine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over Wikidata - Figure 1.jpg](https://upload.wikimedia.org/wikipedia/commons/thumb/5/51/Fine-tuned_LLMs_Know_More%2C_Hallucinate_Less_with_Few-Shot_Sequence-to-Sequence_Semantic_Parsing_over_Wikidata_-_Figure_1.jpg/333px-Fine-tuned_LLMs_Know_More%2C_Hallucinate_Less_with_Few-Shot_Sequence-to-Sequence_Semantic_Parsing_over_Wikidata_-_Figure_1.jpg?20231129123132)
Size of this preview: 333 × 598 pixels. Other resolutions: 133 × 240 pixels | 267 × 480 pixels | 808 × 1,452 pixels.
Original file (808 × 1,452 pixels, file size: 153 KB, MIME type: image/jpeg)
File information
Structured data
Captions
Captions
Add a one-line explanation of what this file represents
Summary
[edit]DescriptionFine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over Wikidata - Figure 1.jpg |
English: An overview of WikiSP. An entity linker is used to link entities in the user query to their unique ID in Wikidata; e.g. “A Bronx Tale” is linked to entity ID “Q1130705”. The query and entity linker outputs are fed to the WikiSP semantic parser to produce a modified version of SPARQL, where property IDs (e.g. “P915”) are replaced by their unique string identifiers (e.g. “filming_location”). If applying the query toWikidata fails to return a result, we default to GPT-3, labeling the result as a GPT-3 guess. Returned answers are presented in the context of the query, so the user can tell if the answer is acceptable; if not, we also show the guess from GPT-3. Here WikiSP mistakenly uses “filming_location” instead of “narrative_location”; the user detects the mistake, thumbs down the answer, and the GPT-3 answer is provided. |
Date | |
Source | https://arxiv.org/abs/2305.14202 |
Author | Silei Xu, Shicheng Liu, Theo Culhane, Elizaveta Pertseva, Meng-Hsi Wu, Sina J. Semnani, Monica S. Lam |
Licensing
[edit]![w:en:Creative Commons](https://upload.wikimedia.org/wikipedia/commons/thumb/7/79/CC_some_rights_reserved.svg/90px-CC_some_rights_reserved.svg.png)
![attribution](https://upload.wikimedia.org/wikipedia/commons/thumb/1/11/Cc-by_new_white.svg/24px-Cc-by_new_white.svg.png)
This file is licensed under the Creative Commons Attribution 4.0 International license.
- You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
File history
Click on a date/time to view the file as it appeared at that time.
Date/Time | Thumbnail | Dimensions | User | Comment | |
---|---|---|---|---|---|
current | 12:31, 29 November 2023 | ![]() | 808 × 1,452 (153 KB) | Pyb en résidence (talk | contribs) | Uploaded a work by Silei Xu, Shicheng Liu, Theo Culhane, Elizaveta Pertseva, Meng-Hsi Wu, Sina J. Semnani, Monica S. Lam from https://arxiv.org/abs/2305.14202 with UploadWizard |
You cannot overwrite this file.
File usage on Commons
There are no pages that use this file.
File usage on other wikis
The following other wikis use this file:
- Usage on fr.wikipedia.org
Hidden category: