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Mona T. Diab

12 papers hereh-index 6224 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author6
  • last author6

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CL11
  • cs.CV1
same name
  • Mona T. Diab — 43 papers, h 53
  • Mona T. Diab — 14 papers, h 11
  • Mona T. Diab — 12 papers, h 5
  • Mona T. Diab — 5 papers, h 2
  • Mona T. Diab — 5 papers, h 1
  • Mona T. Diab — 3 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedBIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data

4 citations · 8 across the 11 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CL2026

IdeaScientist: Orchestrating Agents for Grounded Scientific Ideation

Jiarui Liu, Renjie Tao, Yiwei Liao +15

Despite rapid progress in automating scientific research, generating promising and well grounded research solutions remains a central challenge. We isolate research ideation as a s…

cs.CL2026

Evaluating Multi-Turn Multimodal Diagnostic Reasoning on Challenging Real-World Clinical Cases

Rui Yang, Weihao Xuan, Yi Lin +23

Clinical diagnostic evaluation should not only assess whether models can provide correct diagnoses, but also reflect the realities of clinical practice, including progressive discl…

cs.CL2026

MixSD: Mixed Contextual Self-Distillation for Knowledge Injection

Jiarui Liu, Lechen Zhang, Yongjin Yang +5

Supervised fine-tuning (SFT) is widely used to inject new knowledge into language models, but it often degrades pretrained capabilities such as reasoning and general-domain perform…

cs.CL2026

PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers on Overleaf

Jiarui Liu, Terry Jingchen Zhang, Ryan Faulkner +17

Expert writing feedback from experienced researchers is critical for early-career scholars to improve their manuscripts, yet high-quality feedback often remains scarce because revi…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.