Cover Image

Semantic Cells: Evolutional Process to Acquire Sense Diversity of Items

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ohsawa, Yukio, Xue, Dingming, Sekiguchi, Kaira
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Analyzing Polysemy Evolution Using Semantic Cells
by: Ohsawa, Yukio, et al.
Published: (2024)

Extracting and Validating Explanatory Word Archipelagoes using Dual Entropy
by: Ohsawa, Yukio
Published: (2020)

Generative AI Meets Semantic Communication: Evolution and Revolution of Communication Tasks
by: Grassucci, Eleonora, et al.
Published: (2024)

Catalog-Native LLM: Speaking Item-ID Dialect with Less Entanglement for Recommendation
by: Shirkavand, Reza, et al.
Published: (2025)

The Position Curse: LLMs Struggle to Locate the Last Few Items in a List
by: Zhang, Zhanqi, et al.
Published: (2026)

Aligning Brain Activity with Advanced Transformer Models: Exploring the Role of Punctuation in Semantic Processing
by: Lamprou, Zenon, et al.
Published: (2025)

MPO: An Efficient Post-Processing Framework for Mixing Diverse Preference Alignment
by: Wang, Tianze, et al.
Published: (2025)

Automated Alignment of Math Items to Content Standards in Large-Scale Assessments Using Language Models
by: Xu, Qingshu, et al.
Published: (2025)

SMART: Simulated Students Aligned with Item Response Theory for Question Difficulty Prediction
by: Scarlatos, Alexander, et al.
Published: (2025)

BIG5-TPoT: Predicting BIG Five Personality Traits, Facets, and Items Through Targeted Preselection of Texts
by: Le, Triet M., et al.
Published: (2025)

RAGSys: Item-Cold-Start Recommender as RAG System
by: Contal, Emile, et al.
Published: (2024)

Sense and Sensitivity: Examining the Influence of Semantic Recall on Long Context Code Reasoning
by: Štorek, Adam, et al.
Published: (2025)

Quality-Diversity Evolution for Discovering Diverse Vulnerabilities in LLM Safety
by: Mitra, Subhadip
Published: (2026)

Estimating Item Difficulty Using Large Language Models and Tree-Based Machine Learning Algorithms
by: Razavi, Pooya, et al.
Published: (2025)

Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?
by: Jin, Mingyu, et al.
Published: (2024)

Conceptors for Semantic Steering
by: Triantafyllopoulos, Ilias, et al.
Published: (2026)

Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity
by: Nguyen, Dang, et al.
Published: (2025)

Task Diversity Shortens the ICL Plateau
by: Kim, Jaeyeon, et al.
Published: (2024)

LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM Safety
by: Yang, Junxiao, et al.
Published: (2026)

Training-Free Generation of Diverse and High-Fidelity Images via Prompt Semantic Space Optimization
by: Meng, Debin, et al.
Published: (2025)

Homonym Sense Disambiguation in the Georgian Language
by: Melikidze, Davit, et al.
Published: (2024)

Data Diversity Matters for Robust Instruction Tuning
by: Bukharin, Alexander, et al.
Published: (2023)

Free Process Rewards without Process Labels
by: Yuan, Lifan, et al.
Published: (2024)

Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs
by: Feucht, Sheridan, et al.
Published: (2024)

AttentionEngine: A Versatile Framework for Efficient Attention Mechanisms on Diverse Hardware Platforms
by: Chen, Feiyang, et al.
Published: (2025)

Uncertainty in Semantic Language Modeling with PIXELS
by: Radu, Stefania, et al.
Published: (2025)

SDEC: Semantic Deep Embedded Clustering
by: Rahman, Mohammad Wali Ur, et al.
Published: (2025)

LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity
by: Tekin, Selim Furkan, et al.
Published: (2024)

Diversity Measurement and Subset Selection for Instruction Tuning Datasets
by: Wang, Peiqi, et al.
Published: (2024)

Probing Semantic Routing in Large Mixture-of-Expert Models
by: Olson, Matthew Lyle, et al.
Published: (2025)

Jointly Reinforcing Diversity and Quality in Language Model Generations
by: Li, Tianjian, et al.
Published: (2025)

Structured Pruning for Diverse Best-of-N Reasoning Optimization
by: Nguyen, Hieu Trung, et al.
Published: (2025)

QG-SMS: Enhancing Test Item Analysis via Student Modeling and Simulation
by: Nguyen, Bang, et al.
Published: (2025)

A Hybrid Protocol for Large-Scale Semantic Dataset Generation in Low-Resource Languages: The Turkish Semantic Relations Corpus
by: Tosun, Ebubekir, et al.
Published: (2026)

Optimizing Fine-Tuning through Advanced Initialization Strategies for Low-Rank Adaptation
by: Xue, Yongfu
Published: (2025)

Word Sense Detection Leveraging Maximum Mean Discrepancy
by: Mitsuzawa, Kensuke
Published: (2025)

vCache: Verified Semantic Prompt Caching
by: Schroeder, Luis Gaspar, et al.
Published: (2025)

Minimal-Intervention KV Retention via Set-Conditioned Diversity
by: Sun, Libo, et al.
Published: (2026)

Diversity Enhances an LLM's Performance in RAG and Long-context Task
by: Wang, Zhichao, et al.
Published: (2025)

Facts in Stats: Impacts of Pretraining Diversity on Language Model Generalization
by: Behnia, Tina, et al.
Published: (2025)