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Seong-heum Kim

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#natural language process... Preprint Sep 2026

FACET at WMT 2026 Automated Translation Quality Evaluation Task

FACET, the authors' reference-free submission to the WMT26 Automated Translation Quality Evaluation Task, is presented, which decomposes evaluation into Fluency, Accuracy, and Consistency passes and gives each pass only the context its error type requires.

Ahrii Kim, Chanjun Park, Seong-heum Kim · 0 citations
Preprint Aug 2026

Multi-Agent Target-Existence Verification and Learned Mask Geometry Refinement: Winning Report of the MeViS-Text Track at the 8th LSVOS Challenge 2026

This work decouple existence verification into an independent multi-agent audit of the full predicate that distinguishes absence from temporary invisibility, discounts apparent motion caused by camera movement, and requires contradicting evidence rather than mere uncertainty for a no-target verdict.

Jungyoon Lee, Gyu-Seong Lim, Doeon Kim et al. · 0 citations
Review Sep 2026

Report of the 8th LSVOS Challenge: Complex and Multimodal Video Object Segmentation

Across the nine leading solutions, foundation segmentation models are combined with target-aware memory, multimodal reasoning, explicit target-existence verification, agentic interaction, and corrective tracking, illustrating a broader transition from single-model mask propagation toward modular pipelines that reason a...

Chang Liu, Heng-Hui Ding, Ling-Yi Hong et al. · 0 citations
#natural language process... Preprint Sep 2026

The Blindness of Document-Level Translation Evaluation

A counterfactual condition (MIX) is test with a counterfactual condition (MIX) in which each document combines segments drawn from different systems, preserving document-level presentation while breaking cross-segment consistency.

Ahrii Kim, Vilém Zouhar, Chanjun Park et al. · 0 citations
#natural language process... Preprint Sep 2026

Discourse Dependency: A Continuous Criterion for Translation Difficulty

This work argues that one meaningful and currently unmeasured axis is referential reach, the distance a segment must look back into its document to resolve the entities and pronouns it contains, and formalizes this as discourse dependency (DDP), a metric-free, source-side measure computed from named entity re-mentions...

Ahrii Kim, Chanjun Park, Seong-heum Kim · 0 citations

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