Atabak Ashfaq

2 papers on this site · 2020–2025

The profile is the library's match of the name; two people with one name are not always told apart.

Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

The most cited first (OpenAlex and our library).

Re-evaluating Evaluation in Text Summarization (2020 · 256 citations)
ROUGE has been the main way to score summarization systems for about two decades. Most evidence on how well automatic metrics track human judgment comes from the TAC benchmarks, which are now old and whose summaries are weaker than current neural outputs. The authors test whether those conclusions still hold for…
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs (2025 · 145 citations)
Small language models usually trail larger ones at reasoning. Adding vision or audio to them typically means fine-tuning the backbone, which weakens its text skills and forces teams to run several separate models. In this report, Microsoft presents Phi-4-Mini, a 3.8B-parameter decoder-only model. It was trained on…

1 more work of theirs is in our library without a page here yet; it will appear as we publish them.

8 co-authors with a page, the most papers together first.

Papers of our library cite their works 258 times (of the 140 884 papers whose bibliographies we read); 18 citing papers with a page here →.