Saved in:
| Main Authors: | Jang, Yunhui, Kim, Jaehyung, Ahn, Sungsoo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.16340 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Structural Reasoning Improves Molecular Understanding of LLM
by: Jang, Yunhui, et al.
Published: (2024)
by: Jang, Yunhui, et al.
Published: (2024)
Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversity
by: Jang, Hyosoon, et al.
Published: (2024)
by: Jang, Hyosoon, et al.
Published: (2024)
Graph Generation with $K^2$-trees
by: Jang, Yunhui, et al.
Published: (2023)
by: Jang, Yunhui, et al.
Published: (2023)
A Simple and Scalable Representation for Graph Generation
by: Jang, Yunhui, et al.
Published: (2023)
by: Jang, Yunhui, et al.
Published: (2023)
Hybrid Neural Representations for Spherical Data
by: Kim, Hyomin, et al.
Published: (2024)
by: Kim, Hyomin, et al.
Published: (2024)
Pessimistic Backward Policy for GFlowNets
by: Jang, Hyosoon, et al.
Published: (2024)
by: Jang, Hyosoon, et al.
Published: (2024)
INDIBATOR: Diverse and Fact-Grounded Individuality for Multi-Agent Debate in Molecular Discovery
by: Jang, Yunhui, et al.
Published: (2026)
by: Jang, Yunhui, et al.
Published: (2026)
Self-Training Large Language Models with Confident Reasoning
by: Jang, Hyosoon, et al.
Published: (2025)
by: Jang, Hyosoon, et al.
Published: (2025)
A Systematic Evaluation of Co-folding Model Representations for Small-Molecule Learning
by: Jang, Hyosoon, et al.
Published: (2026)
by: Jang, Hyosoon, et al.
Published: (2026)
Gaussian Plane-Wave Neural Operator for Electron Density Estimation
by: Kim, Seongsu, et al.
Published: (2024)
by: Kim, Seongsu, et al.
Published: (2024)
MT-Mol:Multi Agent System with Tool-based Reasoning for Molecular Optimization
by: Kim, Hyomin, et al.
Published: (2025)
by: Kim, Hyomin, et al.
Published: (2025)
Flexible MOF Generation with Torsion-Aware Flow Matching
by: Kim, Nayoung, et al.
Published: (2025)
by: Kim, Nayoung, et al.
Published: (2025)
Enhancing Instruction Following of LLMs via Activation Steering with Dynamic Rejection
by: Kang, Minjae, et al.
Published: (2026)
by: Kang, Minjae, et al.
Published: (2026)
Iterated Energy-based Flow Matching for Sampling from Boltzmann Densities
by: Woo, Dongyeop, et al.
Published: (2024)
by: Woo, Dongyeop, et al.
Published: (2024)
Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers
by: Seong, Kiyoung, et al.
Published: (2024)
by: Seong, Kiyoung, et al.
Published: (2024)
Diet Your LLM: Dimension-wise Global Pruning of LLMs via Merging Task-specific Importance Score
by: Hong, Jimyung, et al.
Published: (2026)
by: Hong, Jimyung, et al.
Published: (2026)
EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost
by: Heo, Jaeseung, et al.
Published: (2023)
by: Heo, Jaeseung, et al.
Published: (2023)
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization
by: Kim, Hyeonah, et al.
Published: (2023)
by: Kim, Hyeonah, et al.
Published: (2023)
Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization
by: Kim, Nayeong, et al.
Published: (2024)
by: Kim, Nayeong, et al.
Published: (2024)
Decoupled Sequence and Structure Generation for Realistic Antibody Design
by: Kim, Nayoung, et al.
Published: (2024)
by: Kim, Nayoung, et al.
Published: (2024)
REBIND: Enhancing ground-state molecular conformation via force-based graph rewiring
by: Kim, Taewon, et al.
Published: (2024)
by: Kim, Taewon, et al.
Published: (2024)
Few-shot Personalization of LLMs with Mis-aligned Responses
by: Kim, Jaehyung, et al.
Published: (2024)
by: Kim, Jaehyung, et al.
Published: (2024)
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences
by: Kim, Minsu, et al.
Published: (2023)
by: Kim, Minsu, et al.
Published: (2023)
On scalable and efficient training of diffusion samplers
by: Kim, Minkyu, et al.
Published: (2025)
by: Kim, Minkyu, et al.
Published: (2025)
Energy-based generator matching: A neural sampler for general state space
by: Woo, Dongyeop, et al.
Published: (2025)
by: Woo, Dongyeop, et al.
Published: (2025)
Learning to Correct for QA Reasoning with Black-box LLMs
by: Kim, Jaehyung, et al.
Published: (2024)
by: Kim, Jaehyung, et al.
Published: (2024)
MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks
by: Kim, Nayoung, et al.
Published: (2024)
by: Kim, Nayoung, et al.
Published: (2024)
Sampling Decisions
by: Chertkov, Michael, et al.
Published: (2025)
by: Chertkov, Michael, et al.
Published: (2025)
SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction
by: Xu, Bohao, et al.
Published: (2024)
by: Xu, Bohao, et al.
Published: (2024)
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning
by: Nam, Jaehyun, et al.
Published: (2024)
by: Nam, Jaehyun, et al.
Published: (2024)
Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs
by: Song, Woomin, et al.
Published: (2024)
by: Song, Woomin, et al.
Published: (2024)
Multimodal Crystal Flow: Any-to-Any Modality Generation for Unified Crystal Modeling
by: Seong, Kiyoung, et al.
Published: (2026)
by: Seong, Kiyoung, et al.
Published: (2026)
Improving Group Fairness in Tensor Completion via Imbalance Mitigating Entity Augmentation
by: Ahn, Dawon, et al.
Published: (2025)
by: Ahn, Dawon, et al.
Published: (2025)
KITE: A Kernel-based Improved Transferability Estimation Method
by: Guo, Yunhui
Published: (2024)
by: Guo, Yunhui
Published: (2024)
Drug Discovery SMILES-to-Pharmacokinetics Diffusion Models with Deep Molecular Understanding
by: Hu, Bing, et al.
Published: (2024)
by: Hu, Bing, et al.
Published: (2024)
Non-backtracking Graph Neural Networks
by: Park, Seonghyun, et al.
Published: (2023)
by: Park, Seonghyun, et al.
Published: (2023)
Riemannian MeanFlow
by: Woo, Dongyeop, et al.
Published: (2026)
by: Woo, Dongyeop, et al.
Published: (2026)
Enhancing LLM Agent Safety via Causal Influence Prompting
by: Hahm, Dongyoon, et al.
Published: (2025)
by: Hahm, Dongyoon, et al.
Published: (2025)
Debiasing Online Preference Learning via Preference Feature Preservation
by: Kim, Dongyoung, et al.
Published: (2025)
by: Kim, Dongyoung, et al.
Published: (2025)
Training-free LLM Verification via Recycling Few-shot Examples
by: Lee, Dongseok, et al.
Published: (2025)
by: Lee, Dongseok, et al.
Published: (2025)
Similar Items
-
Structural Reasoning Improves Molecular Understanding of LLM
by: Jang, Yunhui, et al.
Published: (2024) -
Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversity
by: Jang, Hyosoon, et al.
Published: (2024) -
Graph Generation with $K^2$-trees
by: Jang, Yunhui, et al.
Published: (2023) -
A Simple and Scalable Representation for Graph Generation
by: Jang, Yunhui, et al.
Published: (2023) -
Hybrid Neural Representations for Spherical Data
by: Kim, Hyomin, et al.
Published: (2024)