Nikos Aletras
@naletras.bsky.social
Professor at the University of Sheffield. I do #NLProc stuff.
Synthetic calibration data (for pruning and quantization) generated by the LLM itself is a better approx of the pre-training data dist than "external" data.
Really cool work by Miles (@mileswil.bsky.social) and George (@soon1otis.bsky.social) to be presented at #NAACL2025
arxiv.org/abs/2410.17170
Really cool work by Miles (@mileswil.bsky.social) and George (@soon1otis.bsky.social) to be presented at #NAACL2025
arxiv.org/abs/2410.17170
January 23, 2025 at 2:23 PM
Synthetic calibration data (for pruning and quantization) generated by the LLM itself is a better approx of the pre-training data dist than "external" data.
Really cool work by Miles (@mileswil.bsky.social) and George (@soon1otis.bsky.social) to be presented at #NAACL2025
arxiv.org/abs/2410.17170
Really cool work by Miles (@mileswil.bsky.social) and George (@soon1otis.bsky.social) to be presented at #NAACL2025
arxiv.org/abs/2410.17170
Our paper (w/ Bill, Dimitris and Daniel) crossed the 1000 citations mark. While citation count as a metric only partially captures the true impact of a paper, it still indicates how influential this work was at the intersection of law and NLP 1/n
November 21, 2024 at 3:42 PM
Our paper (w/ Bill, Dimitris and Daniel) crossed the 1000 citations mark. While citation count as a metric only partially captures the true impact of a paper, it still indicates how influential this work was at the intersection of law and NLP 1/n