97 citations · 133 across the 9 of their papers we have counts for
7 papers · 1 filter
Counterfactual Gate-Support Decomposition: Separating Selection from Redistribution in Training-Data Filtering
Hyojung Han, Jongmin Kim, Seung-Hun Jeon
A training-data quality gate changes both which examples survive within regions of the input space and how training mass is distributed across those regions, so a gate-versus-rando…
When Should Enterprise Policy Decisions Be Learned, and When Should They Be Reasoned?
Hyojung Han, Ryangkyung Kang, Youngeun Kim +1
An enterprise agent that answers under a written policy must choose an action before it says anything: answer, ask for a missing fact, ask for confirmation, call one or several too…
Quantize by Drift: Label-Free Mixed-Precision Post-Training Quantization for Text Embedders
Hyojung Han, Jongmin Kim, Seung-Hun Jeon
Mixed-precision post-training quantization needs a per-module sensitivity signal; for a text embedder the obvious one -- the retrieval quality a module costs when quantized -- need…
On-Device Commercial Intent Retrieval Under Size, Latency, and Privacy Constraints: A 3 MiB Retrieval System with Typed Egress Boundaries
Hyojung Han
We study commercial intent inference that runs entirely on the user's device, under three constraints frozen before the work began: the downloaded payload under 3 MiB, Tier-0 infer…
Metric-Construction Coupling Inflates Measured Synthetic Dialect Recovery
Hyojung Han
Korean dialect corpora are available but not redistributable: weights may be released, while reproducing training and evaluation from the underlying data cannot be. We ask how much…
Where Post-Training Quantization Breaks Text Embedders: A Measured Map Across Four Embedder Families
Hyojung Han
Weight-only post-training quantization is the cheapest way to shrink a retrieval embedder, and the received advice for applying it -- protect the embedding table, allocate bits by…
Off-Target Effects of Response-Style Alignment in a Korean 27B Language Model
Hyojung Han
We post-train Qwen3.8-27B for Korean response style -- verbosity, list and markdown usage, discourse structure and register -- and measure two behaviours the objective never target…