Cover Image

Tracking Temporal Dynamics of Vector Sets with Gaussian Process

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Aida, Taichi, Komachi, Mamoru, Ogiso, Toshinobu, Takamura, Hiroya, Mochihashi, Daichi
Format:	Preprint
Published:	2025
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 Continuous Semantic Shifts with Diachronic Word Similarity Matrices
by: Kiyama, Hajime, et al.
Published: (2025)

Sequential Adaptive Priors for Orthogonal Functions
by: Sugasawa, Shonosuke, et al.
Published: (2025)

Distilling Analysis from Generative Models for Investment Decisions
by: Chen, Chung-Chi, et al.
Published: (2024)

Large Language Models Are State-of-the-Art Evaluator for Grammatical Error Correction
by: Kobayashi, Masamune, et al.
Published: (2024)

Revisiting Meta-evaluation for Grammatical Error Correction
by: Kobayashi, Masamune, et al.
Published: (2024)

WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia
by: Ando, Kenichiro, et al.
Published: (2023)

Scalable Unsupervised Segmentation via Random Fourier Feature-based Gaussian Process
by: Saito, Issei, et al.
Published: (2025)

Misspecifying non-compensatory as compensatory IRT: analysis of estimated skills and variance
by: Tamano, Hiroshi, et al.
Published: (2025)

Pruning Multilingual Large Language Models for Multilingual Inference
by: Kim, Hwichan, et al.
Published: (2024)

Investigating the Contextualised Word Embedding Dimensions Specified for Contextual and Temporal Semantic Changes
by: Aida, Taichi, et al.
Published: (2024)

Assessing the Capabilities of LLMs in Humor:A Multi-dimensional Analysis of Oogiri Generation and Evaluation
by: Sakabe, Ritsu, et al.
Published: (2025)

QuantumBench: A Benchmark for Quantum Problem Solving
by: Minami, Shunya, et al.
Published: (2025)

Byte-token Enhanced Language Models for Temporal Point Processes Analysis
by: Kong, Quyu, et al.
Published: (2025)

Tracking the Feature Dynamics in LLM Training: A Mechanistic Study
by: Xu, Yang, et al.
Published: (2024)

Exploring the Effects of Alignment on Numerical Bias in Large Language Models
by: Sato, Ayako, et al.
Published: (2026)

Rethinking State Tracking in Recurrent Models Through Error Control Dynamics
by: Chung, Jiwan, et al.
Published: (2026)

Multimodal Task Interference: A Benchmark and Analysis of History-Target Mismatch in Multimodal LLMs
by: Kawarada, Masayuki, et al.
Published: (2026)

Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution
by: Zhao, Haiyan, et al.
Published: (2024)

DanmakuTPPBench: A Multi-modal Benchmark for Temporal Point Process Modeling and Understanding
by: Jiang, Yue, et al.
Published: (2025)

Recursive Abstractive Processing for Retrieval in Dynamic Datasets
by: Chucri, Charbel, et al.
Published: (2024)

Enhancing E-commerce Product Title Translation with Retrieval-Augmented Generation and Large Language Models
by: Zhang, Bryan, et al.
Published: (2024)

TPP-LLM: Modeling Temporal Point Processes by Efficiently Fine-Tuning Large Language Models
by: Liu, Zefang, et al.
Published: (2024)

Temporal Consistency for LLM Reasoning Process Error Identification
by: Guo, Jiacheng, et al.
Published: (2025)

Function Vectors in Large Language Models
by: Todd, Eric, et al.
Published: (2023)

Predicting Where Steering Vectors Succeed
by: Billa, Jayadev
Published: (2026)

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest
by: Vassef, Shayan, et al.
Published: (2025)

Adaptive Task Vectors for Large Language Models
by: Kang, Joonseong, et al.
Published: (2025)

Observable Propagation: Uncovering Feature Vectors in Transformers
by: Dunefsky, Jacob, et al.
Published: (2023)

Multi-label Learning with Random Circular Vectors
by: Nishida, Ken, et al.
Published: (2024)

Robust Training of Vector Quantized Bottleneck Models
by: Łańcucki, Adrian, et al.
Published: (2020)

Beyond Multiple Choice: Evaluating Steering Vectors for Summarization
by: Braun, Joschka, et al.
Published: (2025)

Interpretable Syntactic Representations Enable Hierarchical Word Vectors
by: Silwal, Biraj
Published: (2024)

VSPO: Vector-Steered Policy Optimization for Behavioral Control
by: Zhang, Xuechen, et al.
Published: (2026)

Revisiting Adaptive Rounding with Vectorized Reparameterization for LLM Quantization
by: Zhou, Yuli, et al.
Published: (2026)

Causality $\neq$ Invariance: Function and Concept Vectors in LLMs
by: Opiełka, Gustaw, et al.
Published: (2026)

Persona Vectors: Monitoring and Controlling Character Traits in Language Models
by: Chen, Runjin, et al.
Published: (2025)

Relational Knowledge Distillation Using Fine-tuned Function Vectors
by: Kang, Andrea, et al.
Published: (2026)

CRVQ: Channel-Relaxed Vector Quantization for Extreme Compression of LLMs
by: Xu, Yuzhuang, et al.
Published: (2024)

Inference-Time Rethinking with Latent Thought Vectors for Math Reasoning
by: Kong, Deqian, et al.
Published: (2026)

Steer2Adapt: Dynamically Composing Steering Vectors Elicits Efficient Adaptation of LLMs
by: Han, Pengrui, et al.
Published: (2026)