---
title: "Dragomir Radev — papers, page 2 — Elamur Research"
description: "Dragomir Radev, Yale University: 29 papers on Elamur Research (1998–2024), h-index 75 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/dragomir-radev/page/2/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/dragomir-radev/page/2/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Dragomir Radev](https://md.research.elamur.ai/free/en/authors/dragomir-radev/) / page 2

# Dragomir Radev · page 2

29 papers in our library · 1998–2024 · page 2 of 2

[The profile, affiliations and co-authors →](https://md.research.elamur.ai/free/en/authors/dragomir-radev/)

## Papers

The most cited first (OpenAlex and our library).

[← prev](https://md.research.elamur.ai/free/en/authors/dragomir-radev/) [1](https://md.research.elamur.ai/free/en/authors/dragomir-radev/) **2**

26. **[Generating Natural Language Summaries from Multiple On-Line Sources](https://md.research.elamur.ai/free/en/papers/radev-1998-generating-natural-language-summaries-multiple/)** *(1998 · 78 citations)* Radev and McKeown tackle information overload in online news. Statistical extractors of the time summarized one article at a time by lifting sentences, so they could not relate sources to each other, and the extracted sentences often read poorly together. The authors propose SUMMONS, a knowledge-based system that…
27. **[Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations](https://md.research.elamur.ai/free/en/papers/kasai-2023-evaluating-gpt-4-chatgpt-japanese/)** *(2023 · 77 citations)* LLMs are increasingly used by non-English speakers, yet most specialist benchmarks are English-only or translated from English.
28. **[Identifying Opinion Subgroups in Arabic Online Discussions](https://md.research.elamur.ai/free/en/papers/jbara-2013-identifying-opinion-subgroups-arabic-online/)** *(2013 · 77 citations)* The paper addresses how participants in an Arabic online debate split into camps with opposing views. The system takes a forum thread and outputs a subgroup label for every discussant. The pipeline has five components:
29. **[MACSum: Controllable Summarization with Mixed Attributes](https://md.research.elamur.ai/free/en/papers/zhang-2023-macsum-controllable-summarization-mixed-attributes/)** *(2023 · 37 citations)* Readers often want summaries tailored to them, for example short ones, ones about a specific topic, or ones that stay close to the source wording.

[← prev](https://md.research.elamur.ai/free/en/authors/dragomir-radev/) [1](https://md.research.elamur.ai/free/en/authors/dragomir-radev/) **2**