Cover Image

Discovering Semantic Subdimensions through Disentangled Conceptual Representations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Yunhao, Wang, Shaonan, Lin, Nan, Dong, Xinyi, Li, Chong, Zong, Chengqing
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Navigating Brain Language Representations: A Comparative Analysis of Neural Language Models and Psychologically Plausible Models
by: Zhang, Yunhao, et al.
Published: (2024)

MulCogBench: A Multi-modal Cognitive Benchmark Dataset for Evaluating Chinese and English Computational Language Models
by: Zhang, Yunhao, et al.
Published: (2024)

Improving In-context Learning of Multilingual Generative Language Models with Cross-lingual Alignment
by: Li, Chong, et al.
Published: (2023)

Decoding the Multimodal Mind: Generalizable Brain-to-Text Translation via Multimodal Alignment and Adaptive Routing
by: Ye, Chunyu, et al.
Published: (2025)

Computational Models to Study Language Processing in the Human Brain: A Survey
by: Wang, Shaonan, et al.
Published: (2024)

X-Instruction: Aligning Language Model in Low-resource Languages with Self-curated Cross-lingual Instructions
by: Li, Chong, et al.
Published: (2024)

Component-Level Lesioning of Language Models Reveals Clinically Aligned Aphasia Phenotypes
by: Wang, Yifan, et al.
Published: (2026)

TokAlign: Efficient Vocabulary Adaptation via Token Alignment
by: Li, Chong, et al.
Published: (2025)

MapGuide: A Simple yet Effective Method to Reconstruct Continuous Language from Brain Activities
by: Zhao, Xinpei, et al.
Published: (2024)

Parallel Scaling Law: Unveiling Reasoning Generalization through A Cross-Linguistic Perspective
by: Yang, Wen, et al.
Published: (2025)

Group then Scale: Dynamic Mixture-of-Experts Multilingual Language Model
by: Li, Chong, et al.
Published: (2025)

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment
by: Li, Chong, et al.
Published: (2026)

Computational Lesions in Multilingual Language Models Separate Shared and Language-specific Brain Alignment
by: Cui, Yang, et al.
Published: (2026)

F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine Translation
by: Wu, Junhong, et al.
Published: (2024)

A Survey of Large Language Models in Discipline-specific Research: Challenges, Methods and Opportunities
by: Xiang, Lu, et al.
Published: (2025)

From Generic Empathy to Personalized Emotional Support: A Self-Evolution Framework for User Preference Alignment
by: Ye, Jing, et al.
Published: (2025)

SweetieChat: A Strategy-Enhanced Role-playing Framework for Diverse Scenarios Handling Emotional Support Agent
by: Ye, Jing, et al.
Published: (2024)

How Syntax Specialization Emerges in Language Models
by: Duan, Xufeng, et al.
Published: (2025)

EmoHarbor: Evaluating Personalized Emotional Support by Simulating the User's Internal World
by: Ye, Jing, et al.
Published: (2026)

Implicit Cross-Lingual Rewarding for Efficient Multilingual Preference Alignment
by: Yang, Wen, et al.
Published: (2025)

Language Imbalance Driven Rewarding for Multilingual Self-improving
by: Yang, Wen, et al.
Published: (2024)

Self-Modifying State Modeling for Simultaneous Machine Translation
by: Yu, Donglei, et al.
Published: (2024)

Boosting LLM Translation Skills without General Ability Loss via Rationale Distillation
by: Wu, Junhong, et al.
Published: (2024)

TROVE: A Challenge for Fine-Grained Text Provenance via Source Sentence Tracing and Relationship Classification
by: Zhu, Junnan, et al.
Published: (2025)

Dynamic Adapter with Semantics Disentangling for Cross-lingual Cross-modal Retrieval
by: Cai, Rui, et al.
Published: (2024)

Gated Tree Cross-Attention for Checkpoint-Compatible Syntax Injection in Decoder-Only LLMs
by: Gao, Xinyu, et al.
Published: (2026)

Disentangling Preference Representation and Text Generation for Efficient Individual Preference Alignment
by: Zhang, Jianfei, et al.
Published: (2024)

HTAM: Hierarchical Transition-Attended Memory for Operator Optimization
by: Zhang, Yining, et al.
Published: (2026)

BLSP-Emo: Towards Empathetic Large Speech-Language Models
by: Wang, Chen, et al.
Published: (2024)

Disentangling the Roles of Representation and Selection in Data Pruning
by: Du, Yupei, et al.
Published: (2025)

Disentangling Memory and Reasoning Ability in Large Language Models
by: Jin, Mingyu, et al.
Published: (2024)

Balancing Stylization and Truth via Disentangled Representation Steering
by: Shen, Chenglei, et al.
Published: (2025)

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information
by: Zhang, Wanyue, et al.
Published: (2024)

Breaking the Generator Barrier: Disentangled Representation for Generalizable AI-Text Detection
by: Pu, Xiao, et al.
Published: (2026)

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation
by: Yu, Donglei, et al.
Published: (2025)

Disentangling Knowledge Representations for Large Language Model Editing
by: Zhang, Mengqi, et al.
Published: (2025)

Single-to-mix Modality Alignment with Multimodal Large Language Model for Document Image Machine Translation
by: Liang, Yupu, et al.
Published: (2025)

Give it Space! Explicit Disentangling of Positional and Semantic Representations in Encoders
by: Lequeu, Pierre-Antoine, et al.
Published: (2026)

Explainable Disentanglement on Discrete Speech Representations for Noise-Robust ASR
by: Gopal, Shreyas, et al.
Published: (2025)

DepFlow: Disentangled Speech Generation to Mitigate Semantic Bias in Depression Detection
by: Li, Yuxin, et al.
Published: (2026)