# fletcherjiang/LLMEPET

<https://repo.masters-masters.com/en/repos/fletcherjiang/LLMEPET>

[Home](https://repo.masters-masters.com/en) › [fletcherjiang](https://repo.masters-masters.com/en/owners/fletcherjiang) › [LLMEPET](https://repo.masters-masters.com/en/repos/fletcherjiang/LLMEPET)

fletcherjiang/LLMEPET has 130 stars on GitHub. Its RepoMasters card: Prototype tier. \[MM'24 Oral\] Prior Knowledge Integration via LLM Encoding and Pseudo…

| Field | Value |
| --- | --- |
| Owner | [fletcherjiang](https://repo.masters-masters.com/en/owners/fletcherjiang) |
| Stars | 130 |
| Forks | 12 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | BSD-3-Clause |
| Created | 2024 |
| Topics | pytorch, video-grounding |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [fletcherjiang/LLMEPET](https://github.com/fletcherjiang/LLMEPET) |

## Repository

\[MM'24 Oral\] Prior Knowledge Integration via LLM Encoding and Pseudo Event Regulation for Video Moment Retrieval

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.