Machine Learning · Computer Science
LIMO: Latent Inceptionism for Targeted Molecule Generation
Peter Eckmann, Kunyang Sun, Bo Zhao, Mudong Feng +2
2022-06-22
Machine Learning · Computer Science
Molecule Design by Latent Prompt Transformer
Deqian Kong, Yuhao Huang, Jianwen Xie, Edouardo Honig +7
2024-11-01
Machine Learning · Computer Science
Enhancing Latent Computation in Transformers with Latent Tokens
Yuchang Sun, Yanxi Chen, Yaliang Li, Bolin Ding
2025-05-20
Computation and Language · Computer Science
Reflection-Window Decoding: Text Generation with Selective Refinement
Zeyu Tang, Zhenhao Chen, Xiangchen Song, Loka Li +5
2025-06-03
Computation and Language · Computer Science
Learning to Decode Collaboratively with Multiple Language Models
Shannon Zejiang Shen, Hunter Lang, Bailin Wang, Yoon Kim +1
2024-08-28
Computer Vision and Pattern Recognition · Computer Science
Lformer: Text-to-Image Generation with L-shape Block Parallel Decoding
Jiacheng Li, Longhui Wei, ZongYuan Zhan, Xin He +3
2023-03-08
Optimization and Control · Mathematics
LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation
Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Guojun Peng +3
2024-03-06
Computer Vision and Pattern Recognition · Computer Science
Boosting Generative Image Modeling via Joint Image-Feature Synthesis
Theodoros Kouzelis, Efstathios Karypidis, Ioannis Kakogeorgiou, Spyros Gidaris +1
2026-01-23
Computation and Language · Computer Science
Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding
Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang +5
2024-06-05
Computation and Language · Computer Science
Scaling LLM Speculative Decoding: Non-Autoregressive Forecasting in Large-Batch Scenarios
Luohe Shi, Zuchao Li, Lefei Zhang, Baoyuan Qi +2
2025-11-26
Machine Learning · Computer Science
Improving Small Molecule Generation using Mutual Information Machine
Danny Reidenbach, Micha Livne, Rajesh K. Ilango, Michelle Gill +1
2023-03-31
Computation and Language · Computer Science
Adaptive Decoding via Latent Preference Optimization
Shehzaad Dhuliawala, Ilia Kulikov, Ping Yu, Asli Celikyilmaz +3
2024-11-15
Machine Learning · Computer Science
Improving Molecular Design by Stochastic Iterative Target Augmentation
Kevin Yang, Wengong Jin, Kyle Swanson, Regina Barzilay +1
2021-08-17
Machine Learning · Computer Science
Molecular generative model based on conditional variational autoencoder for de novo molecular design
Jaechang Lim, Seongok Ryu, Jin Woo Kim, Woo Youn Kim
2018-06-18
Computation and Language · Computer Science
Latent Thought Models with Variational Bayes Inference-Time Computation
Deqian Kong, Minglu Zhao, Dehong Xu, Bo Pang +7
2025-06-10
Machine Learning · Computer Science
Turbo-Sim: a generalised generative model with a physical latent space
Guillaume Quétant, Mariia Drozdova, Vitaliy Kinakh, Tobias Golling +1
2021-12-22
Machine Learning · Computer Science
Sample Efficient Generative Molecular Optimization with Joint Self-Improvement
Serra Korkmaz, Adam Izdebski, Jonathan Pirnay, Rasmus Møller-Larsen +4
2026-02-12
Machine Learning · Computer Science
Learning High-Quality Latent Representations for Anomaly Detection and Signal Integrity Enhancement in High-Speed Signals
Muhammad Usama, Hee-Deok Jang, Soham Shanbhag, Yoo-Chang Sung +2
2025-06-24
Computation and Language · Computer Science
The End of Manual Decoding: Towards Truly End-to-End Language Models
Zhichao Wang, Dongyang Ma, Xinting Huang, Deng Cai +5
2025-11-03