by 7shi · Agent Tool · ★ 50
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Gemini Paper Summarizer Overview A command-line tool that uses Gemini API to generate summaries of academic papers. Supports output in multiple languages: Chinese, English, Esperanto, French, German, Japanese, Korean, and Spanish. Examples See the examples directory for sample outputs, including summaries of: (2017) Attention Is All You Need Other Summaries in Japanese (2018) What you can cram into a single vector: Probing sentence embeddings for linguistic properties (2018) Improving language understanding by generative pre-training (2018) BERT: Pre-training of deep bidirectional Transformers for language understanding (2019) BERT rediscovers the classical NLP pipeline (2019) Linguistic knowledge and transferability of contextual representations (2019) A Structural Probe for Finding Syntax in Word Representations (2019) What does BERT look at? An analysis of BERT’s attention (2022) Symbolic Knowledge Distillation: from General Language Models to Commonsense Models [(2023) A Benchmark fo
| Stars | 50 |
| Forks | 6 |
| Language | Python |
| Category | Agent Tool |
| License | CC0-1.0 |
| Quality Score | 71.2290042106942/100 |
| Last Updated | 2026-04-11 |
| Created | 2025-01-02 |
| Platforms | gemini, python |
| Est. Tokens | ~53k |
Explore other popular agent tool tools:
gemini-paper-summarizer is A command-line tool that uses Gemini API to generate summaries of academic papers.. It is categorized as a Agent Tool with 50 GitHub stars.
gemini-paper-summarizer is primarily written in Python.
You can find installation instructions and usage details in the gemini-paper-summarizer GitHub repository at github.com/7shi/gemini-paper-summarizer. The project has 50 stars and 6 forks, indicating an active community.
gemini-paper-summarizer is released under the CC0-1.0 license, making it free to use and modify according to the license terms.