LANTERN++: Enhanced Relaxed Speculative Decoding with Static Tree Drafting for Visual Auto-regressive Models

ICLR 2025 Workshop on Scalable Optimization for Efficient and Adaptive Foundation Models (ICLRW-SCOPE) (Oral) LANTERN++: Enhanced Relaxed Speculative Decoding with Static Tree Drafting for Visual Auto-regressive Models Sihwan Park, Doohyuk Jang, Sung-Yub Kim, Souvik Kundu, Eunho Yang&...

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation

ICLR 2025 Workshop on XAI4Science: From Understanding Model Behavior to Discovering New Scientific Knowledge (ICLRW-XAI4Science) TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation Hyeongwon Jang, Changhun Kim, Eunho Yang  Recent explainable artif...

Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models

ICLR 2025 Token-Supervised Value Modelsfor Enhancing Mathematical Problem-Solving Capabilities of Large Language Models  Jung Hyun Lee, June Yong Yang, Byeongho Heo, Dongyoon Han, Kyungsu Kim, Eunho Yang, Kang Min Yoo  With the rapid advancement of test-time compute sea...

Stable-TTS: Stable Speaker-Adaptive Text-to-Speech Synthesis via Prosody Prompting

ICASSP 2025 Stable-TTS: Stable Speaker-Adaptive Text-to-Speech Synthesis via Prosody Prompting Wooseok Han, Minki Kang, Changhun Kim, Eunho Yang  Speaker-adaptive Text-to-Speech (TTS) synthesis has attracted considerable attention due to its broad range of applications, such as p...

ReBind: Enhancing Ground-state Molecular Conformation Prediction via Force-Based Graph Rewiring

ICLR 2025 ReBind: Enhancing Ground-state Molecular Conformation Prediction via Force-Based Graph Rewiring Taewon Kim, Hyunjin Seo, Sungsoo Ahn, Eunho Yang  Predicting the ground-state 3D molecular conformations from 2D molecular graphs is critical in computational chemistry due t...

LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices

NAACL 2025 LRQ: Optimizing Post-Training Quantization for Large Language Modelsby Learning Low-Rank Weight-Scaling Matrices Jung Hyun Lee, Jeonghoon Kim, June Yong Yang, Se Jung Kwon, Eunho Yang, Kang Min Yoo, Dongsoo Lee  With the commercialization of large language models (LLMs...

LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding

ICLR 2025 LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding Doohyuk Jang, Sihwan Park, June Yong Yang, Yeonsung Jung, Jihun Yun, Souvik Kundu, Sung-Yub Kim, Eunho Yang  Auto-Regressive (AR) models have recently gained prominence in image generat...

Face-StyleSpeech: Enhancing Zero-shot Speech Synthesis from Face Images with Improved Face-to-Speech Mapping

ICASSP 2025 Face-StyleSpeech: Enhancing Zero-shot Speech Synthesis from Face Images with Improved Face-to-Speech Mapping  Minki Kang, Wooseok Han, Eunho Yang  Generating speech from a face image is crucial for developing virtual humans capable of interacting using their uniq...

Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning

ICLR 2025 Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning Hyun Ryu, Gyeongman Kim, Hyemin S. Lee, Eunho Yang  Complex logical reasoning tasks require a long sequence of reasoning, which a large language model (...

Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy

AAAI 2024 Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy  Hyunjin Seo, Kyusung Seo, Joonhyung Park, Eunho Yang  Recent advancements in graph neural networks (GNNs) have highlighted the critical need of calibrating model predicti...