Takuya Akiba

1. Evolutionary optimization of model merging recipes
   2024/03/19 by Takuya Akiba, Makoto Shing, Yujin Tang +2 · 3 voices · 31 citations
   Computer Science · #Software Engineering Research #Advanced Multi-Objective Optimization Algorithms #Model-Driven Software Engineering Techniques
2. Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search
   2025/03/06 by Yuichi Inoue, Inoue, Yuichi, Kou Misaki +9 · 4 voices · 11 citations
   Computer Science · #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling #cs.AI
3. Fast Exact Shortest-Path Distance Queries on Large Networks by Pruned Landmark Labeling
   2013/04/17 by Takuya Akiba, Yoichi Iwata, Akiba, Takuya +3 · 8 citations
   Computer Science · Physics and Astronomy · #Data Management and Algorithms #Graph Theory and Algorithms #Complex Network Analysis Techniques
4. Branch-and-Reduce Exponential/FPT Algorithms in Practice: A Case Study of Vertex Cover
   2014/11/11 by Takuya Akiba, Akiba, Takuya, Yoichi Iwata +1 · 3 citations
   Computer Science · #Complexity and Algorithms in Graphs #Graph Theory and Algorithms #Optimization and Search Problems
5. TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models
   2025/01/28 by Makoto Shing, Kou Misaki, Shing, Makoto +7 · 2 voices · 6 citations
   Computer Science · #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling #cs.AI #cs.CL #cs.LG
6. Agent Skill Acquisition for Large Language Models via CycleQD
   2024/10/16 by So Kuroki, S. Kuroki, Taishi Nakamura +6 · 2 voices · 2 citations
   Computer Science · #Topic Modeling #Natural Language Processing Techniques
7. DiffusionBlocks: Block-wise Neural Network Training via Diffusion Interpretation
   2025/06/17 by Makoto Shing, Shing, Makoto, Masanori Koyama +3 · 3 voices
   Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #cs.AI #cs.LG #stat.ML
8. Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization
   2025/02/26 by Taishi Nakamura, Nakamura, Taishi, Takuya Akiba +9 · 5 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing
9. Variance-based Gradient Compression for Efficient Distributed Deep Learning
   2018/02/16 by Yusuke Tsuzuku, Tsuzuku, Yusuke, Hiroto Imachi +3 · 1 citation
   Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques
10. Extending the Context of Pretrained LLMs by Dropping Their Positional Embeddings
    2025/12/13 by Yoav Gelberg, Koshi Eguchi, Gelberg, Yoav +5 · 2 voices · 4 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech Recognition and Synthesis
11. SoftMatcha 2: A Fast and Soft Pattern Matcher for Trillion-Scale Corpora
    2026/02/11 by Masataka Yoneda, Yusuke Matsushita, Go Kamoda +4 · 2 voices
    Computer Science · Mathematics · #cs.CL #cs.LG #stat.ML