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Junhyung Lee

22 papers hereh-index 8164 citations35 works total

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

author position
  • first author8
  • middle author12
  • last author2

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • cond-mat.str-el11
  • cond-mat.quant-gas4
  • cs.CL4
  • cond-mat.dis-nn1
  • cond-mat.mes-hall1
  • cond-mat.stat-mech1
same name
  • Junhyung Lee — 3 papers, h 2
  • Junhyung Lee — 2 papers, h 2
  • Junhyung Lee — 1 paper, h 1

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
20102025
most citedAn Ideal Mean-Field Transition in a Modulated Cold Atom System

40 citations · 222 across the 22 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CL2025

zFLoRA: Zero-Latency Fused Low-Rank Adapters

Dhananjaya Gowda, Seoha Song, Harshith Goka +1

Large language models (LLMs) are increasingly deployed with task-specific adapters catering to multiple downstream applications. In such a scenario, the additional compute associat…

cs.CL2025

Optimal Multi-Task Learning at Regularization Horizon for Speech Translation Task

JungHo Jung, Junhyun Lee

End-to-end speech-to-text translation typically suffers from the scarcity of paired speech-text data. One way to overcome this shortcoming is to utilize the bitext data from the Ma…

cond-mat.str-el2025

Complete Boundary Phase Diagram of the Spin-21​ XXZ Chain with Boundary Fields in the Anti-Ferromagnetic Gapped Regime

Parameshwar R. Pasnoori, Yicheng Tang, Junhyun Lee +3

We consider the spin 21​ XXZ chain with diagonal boundary fields and solve it exactly using Bethe ansatz in the gapped anti-ferromagnetic regime and obtain the complete p…

cs.CL2025

BRIDO: Bringing Democratic Order to Abstractive Summarization

Junhyun Lee, Harshith Goka, Hyeonmok Ko

Hallucination refers to the inaccurate, irrelevant, and inconsistent text generated from large language models (LLMs). While the LLMs have shown great promise in a variety of tasks…

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