Scholar
Jeonghwan Kim
Google Scholar ID: CcnGNN8AAAAJ
University of Illinois at Urbana-Champaign
Multimodality
Vision-Language Models
NLP
RAG
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Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
191
H-index
8
i10-index
8
Publications
20
Co-authors
34
list available
Contact
CV
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GitHub
Open ↗
LinkedIn
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Publications
4 items
OSExpert: Computer-Use Agents Learning Professional Skills via Exploration
2026
Cited
0
Protein Language Models Diverge from Natural Language: Comparative Analysis and Improved Inference
2026
Cited
0
Pixel-Grounded Retrieval for Knowledgeable Large Multimodal Models
2026
Cited
0
PEARL: Self-Evolving Assistant for Time Management with Reinforcement Learning
2026
Cited
0
Resume (English only)
Academic Achievements
NeurIPS 2025 (Spotlight): PARTONOMY: Large Multimodal Models with Part-Level Visual Understanding (*equal contribution*)
CVPR 2025: Search and Detect: Training-Free Long Tail Object Detection via Web-Image Retrieval
ACL 2025: SYNTHIA: Novel Concept Design with Affordance Composition
NAACL 2025 Findings: Infogent: An Agent-Based Framework for Web Information Aggregation (*equal contribution*)
COLING 2025: Aligning LLMs with Individual Preferences via Interaction
EMNLP 2024: Finer: Investigating and Enhancing Fine-Grained Visual Concept Recognition in Large Vision Language Models
NAACL 2024 Findings: Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise (*equal contribution*)
EMNLP 2024 Workshop @ WikiNLP: ARMADA: Attribute-Based Multimodal Data Augmentation
EMNLP 2023 Findings: FinePrompt: Unveiling the Role of Finetuned Inductive Bias on Compositional Reasoning in GPT-4 (*equal contribution*)
EMNLP 2022: Graph-Induced Transformers for Efficient Multi-Hop Question Answering
NAACL 2022 Findings: Exploiting Numerical-Contextual Knowledge to Improve Numerical Reasoning in Question Answering
EMNLP 2021: Leveraging Order-Free Tag Relations for Context-Aware Recommendation
EMNLP 2021: Have You Seen That Number? Investigating Extrapolation in Question Answering Models
Paper: Can You Distinguish Truthful from Fake Reviews? User Analysis and Assistance Tool for Fake Review Detection (*equal contribution*)
Research Experience
Research Scientist Intern, Meta, Redmond, WA, USA, May 2025 – Present
Applied Scientist Intern, Amazon, Bellevue, WA, USA, May 2024 – Aug. 2024
Graduate Research Assistant (Ph.D.), UIUC, Champaign, IL, USA, Aug. 2023 – Present, Advisor: Heng Ji
Graduate Research Assistant (M.S.), KAIST IR&NLP Lab, Daejeon, Republic of Korea, Feb. 2020 – Feb. 2022, Advisor: Sung-Hyon Myaeng
Research Associate, KAIST IR&NLP Lab, Daejeon, Republic of Korea, Mar. 2022 – July 2023
Co-authors
34 total
Co-author 1
Co-author 2
Heng Ji
Professor of Computer Science, AICE Director, ASKS Director, UIUC, Amazon Scholar
Giwon Hong
University of Edinburgh
Joyce Jiyoung Whang
Associate Professor, KAIST
Dilek Hakkani-Tür
Professor of Computer Science, Univ. Illinois Urbana-Champaign
Co-author 7
Nanyun (Violet) Peng
Associate Professor, UCLA
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