Example Of Text Scaling
![Scaling Letters Text Animation || After Effects [Tutorial] - YouTube](https://i.ytimg.com/vi/CT42T3U94s4/maxresdefault.jpg)
![Introducing Text Scaling Setting [Studio Beta] - Announcements ...](https://devforum-uploads.s3.dualstack.us-east-2.amazonaws.com/uploads/original/5X/6/5/9/e/659e7048c921ccfc2fd45fdb28a2fac4b40fdda9.gif)
![Introducing Text Scaling Setting [Studio Beta] - Announcements ...](https://devforum-uploads.s3.dualstack.us-east-2.amazonaws.com/uploads/original/5X/a/0/1/b/a01bcb8e0ddec3b0c78b24d3dffb3ff8b3ac9cd9.gif)
![Introducing Text Scaling Setting [Studio Beta] - Announcements ...](https://devforum-uploads.s3.dualstack.us-east-2.amazonaws.com/uploads/original/5X/2/6/b/8/26b871d1715e5749f269550a9ba4c4636214636d.png)
![Implementing Text Scaling In Stratum 2.2.0 [In Flutter] | by Andrew Zuo ...](https://miro.medium.com/v2/resize:fit:1200/1*LSQ03qgQQ_lVDaRqGdLlkw.png)
%20have%20been%20successfully%20applied%20in%20various%20NLP%20tasks%2C%20their%20role%20in%20extractive%20text%20summarization%20remains%20underexplored.%20This%20paper%20introduces%20EYEGLAXS%20(Easy%20Yet%20Efficient%20larGe%20LAnguage%20model%20for%20eXtractive%20Summarization)%2C%20a%20framework%20that%20leverages%20LLMs%2C%20specifically%20LLAMA2-7B%20and%20ChatGLM2-6B%2C%20for%20extractive%20summarization%20of%20lengthy%20text%20documents.%20Instead%20of%20abstractive%20methods%2C%20which%20often%20suffer%20from%20issues%20like%20factual%20inaccuracies%20and%20hallucinations%2C%20EYEGLAXS%20focuses%20on%20extractive%20summarization%20to%20ensure%20factual%20and%20grammatical%20integrity.%20Utilizing%20state-of-the-art%20techniques%20such%20as%20Flash%20Attention%20and%20Parameter-Efficient%20Fine-Tuning%20(PEFT)%2C%20EYEGLAXS%20addresses%20the%20computational%20and%20resource%20challenges%20typically%20associated%20with%20LLMs.%20The%20system%20sets%20new%20performance%20benchmarks%20on%20well-known%20datasets%20like%20PubMed%20and%20ArXiv.%20Furthermore%2C%20we%20extend%20our%20research%20through%20additional%20analyses%20that%20explore%20the%20adaptability%20of%20LLMs%20in%20handling%20different%20sequence%20lengths%20and%20their%20efficiency%20in%20training%20on%20smaller%20datasets.%20These%20contributions%20not%20only%20set%20a%20new%20standard%20in%20the%20field%20but%20also%20open%20up%20promising%20avenues%20for%20future%20research%20in%20extractive%20text%20summarization.)
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