4 citations · 6 across the 12 of their papers we have counts for
4 papers · 1 filter
Token-level Response-visual Attention Guidance for Multimodal LLMs Knowledge Distillation
Jaehyun Jang, Eunseop Yoon, Hee Suk Yoon +3
While knowledge distillation (KD) is widely adopted for training lightweight models by leveraging supervision from larger teacher models, relying solely on output token distributio…
Transcript-Free Flow-Matching Text-to-Speech via Speech Feature Conditioning
SooHwan Eom, Hee Suk Yoon, Eunseop Yoon +2
Recent flow-matching text-to-speech (TTS) models, such as F5-TTS, rely on a reference transcript at inference time, obtained from an external ASR system. This dependency makes zero…
Decomposed On-Policy Distillation for Vision-Language Reasoning: Steering Gradients for Visual Grounding
Hee Suk Yoon, Eunseop Yoon, Jaehyun Jang +6
While on-policy distillation offers dense supervision for training small reasoning models, its optimization dynamics in the multimodal domain remain under-explored. In this work, w…
SALSA: Speech Aware LLM Adaptation via Learned Steering Activation Vectors
Yekaterina Yegorova, Argyrios Gerogiannis, Haolong Zheng +3
Speech-aware large language models often generalize poorly to out-of-domain settings. We propose SALSA (Speech-Aware LLM Adaptation via Learned Steering Activations), a lightweight…