---
title: "Who cites Atabak Ashfaq"
description: "258 papers of the Elamur Research library cite the works of Atabak Ashfaq, found in their bibliographies; the most cited first."
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---
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# Who cites Atabak Ashfaq

258 citations of their works from 258 papers of our library (of the 140 884 whose bibliographies we read) · 18 with a page here, the most cited first · [← Atabak Ashfaq](https://md.research.elamur.ai/free/en/authors/atabak-ashfaq/)

- [FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation](https://md.research.elamur.ai/free/en/papers/min-2023-factscore-fine-grained-atomic-evaluation/) — Sewon Min, Kalpesh Krishna, Xinxi Lyu, et al. · 2023 · 970 citations
- [BARTScore: Evaluating Generated Text as Text Generation](https://md.research.elamur.ai/free/en/papers/yuan-2021-bartscore-evaluating-generated-text-text/) — Weizhe Yuan, Graham Neubig, Pengfei Liu · 2021 · 806 citations
- [Phi-4 Technical Report](https://md.research.elamur.ai/free/en/papers/abdin-2024-phi-4-technical-report/) — Marah Abdin, Jyoti Aneja, Harkirat Behl, et al. · 2024 · 489 citations
- [QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization](https://md.research.elamur.ai/free/en/papers/fabbri-2022-qafacteval-improved-qa-based-factual/) — Alexander Fabbri, Chien-Sheng Wu, Wenhao Liu, et al. · 2022 · 288 citations
- [Is ChatGPT a Good NLG Evaluator? A Preliminary Study](https://md.research.elamur.ai/free/en/papers/wang-2023-chatgpt-good-nlg-evaluator-preliminary/) — Jiaan Wang, Yunlong Liang, Fandong Meng, et al. · 2023 · 281 citations
- [Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs](https://md.research.elamur.ai/free/en/papers/microsoft-2025-phi-4-mini-technical-report/) — Microsoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al. · 2025 · 145 citations
- [Generative Judge for Evaluating Alignment](https://md.research.elamur.ai/free/en/papers/li-2023-generative-judge-evaluating-alignment/) — Junlong Li, Shichao Sun, Weizhe Yuan, et al. · 2023 · 121 citations
- [Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation](https://md.research.elamur.ai/free/en/papers/liu-2022-revisiting-gold-standard-grounding-summarization/) — Yixin Liu, Alexander R. Fabbri, Pengfei Liu, et al. · 2022 · 116 citations
- [LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization](https://md.research.elamur.ai/free/en/papers/krishna-2023-longeval-guidelines-human-evaluation-faithfulness/) — Kalpesh Krishna, Erin Bransom, Bailey Kuehl, et al. · 2023 · 112 citations
- [OASIS: A Multilingual and Multimodal Dataset for Culturally Grounded Spoken Visual QA](https://md.research.elamur.ai/free/en/papers/alam-2025-oasis-multilingual-multimodal-dataset-culturally/) — Firoj Alam, Ali Ezzat Shahroor, Md. Arid Hasan, et al. · 2025 · 6 citations
- [Frame In, Frame Out: Measuring Framing Bias in LLM-Generated News Summaries](https://md.research.elamur.ai/free/en/papers/pastorino-2026-frame-frame-out-measuring-framing/) — Valeria Pastorino, Nafise Sadat Moosavi · 2026 · 3 citations
- [BSC's Submission to the Instruction Following Track of IWSLT 2026](https://md.research.elamur.ai/free/en/papers/pareras-2026-bsc-s-submission-instruction-following/) — Oriol Pareras, Joan Llado, Pol Buitrago, et al. · 2026 · 1 citation
- [FBK's Long-form SpeechLLMs for IWSLT 2026 Instruction Following](https://md.research.elamur.ai/free/en/papers/xie-2026-fbk-s-long-form-speechllms/) — Zhihang Xie, Marco Gaido, Sara Papi, et al. · 2026 · 1 citation
- [MUSCAT: MUltilingual, SCientific ConversATion Benchmark](https://md.research.elamur.ai/free/en/papers/sinhamahapatra-2026-muscat-multilingual-scientific-conversation-benchmark/) — Supriti Sinhamahapatra, Thai-Binh Nguyen, Yiğit Oğuz, et al. · 2026 · 1 citation
- [Evaluating Discriminability of Vision-Language Models](https://md.research.elamur.ai/free/en/papers/muraoka-2026-evaluating-discriminability-vision-language-models/) — Masayasu Muraoka, Naoaki Okazaki · 2026
- [Finding Sense in Nonsense with Generated Contexts: Perspectives from Humans and Language Models](https://md.research.elamur.ai/free/en/papers/olsen-2026-finding-sense-nonsense-generated-contexts/) — Katrina Olsen, Sebastian Padó · 2026
- [MASA: A Novel Multimodal Foundation Model for L2 Speaking Assessment in Picture-description Scenarios](https://md.research.elamur.ai/free/en/papers/yan-2026-masa-novel-multimodal-foundation-model/) — Bi-Cheng Yan, Fu-An Chao, Hong-Yun H.Y. Lin, et al. · 2026
- [STRUDEL: Unrolling a Benchmark for Evaluating Vision-Language Models on Structured Diagram Understanding across Domains](https://md.research.elamur.ai/free/en/papers/steinigen-2026-strudel-unrolling-benchmark-evaluating-vision/) — Daniel Steinigen, Lucie Flek, Sebastian Houben · 2026

240 more citing papers of our library have no page here yet.