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Seungju Han

Stanford

29 papers hereh-index 181.6k citations30 works total

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

author position
  • first author7
  • middle author21

Across the 28 of 29 papers where every author was matched, so the position is known.

fields
  • cs.CL15
  • cs.AI6
  • cs.LG6
  • cs.CV1
  • eess.AS1
affiliations
  • Stanford
Homepage
same name
  • Seungju Han — 5 papers, h 7
  • Seungju Han — 2 papers

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
20202026
most citedDisentangling Label Distribution for Long-tailed Visual Recognition

23 citations · 45 across the 27 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CL2026

Solar Open 2 Technical Report

Sungrae Park, Sanghoon Kim, Gyoungjin Gim +50

We present Solar Open 2, a 250B-A15B Mixture-of-Experts language model built for long-horizon agentic tasks, scaled up from Solar Open 1 (Solar Open 100B). To hold entire agent tra…

cs.LG2026

Proteo-R1: Reasoning Foundation Models for De Novo Protein Design

Fang Wu, Weihao Xuan, Heli Qi +26

Deep learning in de novo protein design has achieved atomic-level fidelity. However, existing models remain largely non-deliberative: they directly synthesize molecular geometries…

cs.LG2026

Synthetic Mixed Training: Scaling Parametric Knowledge Acquisition Beyond RAG

Seungju Han, Konwoo Kim, Chanwoo Park +5

Synthetic data augmentation helps language models learn new knowledge in data-constrained domains. However, naively scaling existing synthetic data methods by training on more synt…

cs.AI2026

iGRPO: Self-Feedback-Driven LLM Reasoning

Ali Hatamizadeh, Shrimai Prabhumoye, Igor Gitman +5

Large Language Models (LLMs) have shown promise in solving complex mathematical problems, yet they still fall short of producing accurate and consistent solutions. Reinforcement Le…

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