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Seokwon Song

4 papers hereh-index 193 citations4 works total

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

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.CL1
  • cs.IR1

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedRead-only Prompt Optimization for Vision-Language Few-shot Learning

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.IR2026

MULTI3IR: A Benchmark for Multi-perspective Multi-domain Multi-modal Information Retrieval

Seokwon Song, Sohyeon Kim, Gunhee Kim

Information retrieval (IR) increasingly targets open-ended queries that admit diverse perspectives. Existing IR benchmarks, however, focus primarily on closed-ended queries, while…

cs.CV2025

MAVIS: A Benchmark for Multimodal Source Attribution in Long-form Visual Question Answering

Seokwon Song, Minsu Park, Gunhee Kim

Source attribution aims to enhance the reliability of AI-generated answers by including references for each statement, helping users validate the provided answers. However, existin…

cs.CL2025

Is a Peeled Apple Still Red? Evaluating LLMs' Ability for Conceptual Combination with Property Type

Seokwon Song, Taehyun Lee, Jaewoo Ahn +2

Conceptual combination is a cognitive process that merges basic concepts, enabling the creation of complex expressions. During this process, the properties of combination (e.g., th…

cs.CV2023★ 1 cited

Read-only Prompt Optimization for Vision-Language Few-shot Learning

Dongjun Lee, Seokwon Song, Jihee Suh +3

In recent years, prompt tuning has proven effective in adapting pre-trained vision-language models to downstream tasks. These methods aim to adapt the pre-trained models by introdu…

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