Image de couverture de livre

Active Use of Latent Constituency Representation in both Humans and Large Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Liu, Wei, Xiang, Ming, Ding, Nai
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Language Models Largely Exhibit Human-like Constituent Ordering Preferences
par: Tur, Ada Defne, et autres
Publié: (2025)

On Effects of Steering Latent Representation for Large Language Model Unlearning
par: Huu-Tien, Dang, et autres
Publié: (2024)

Causal-Guided Active Learning for Debiasing Large Language Models
par: Du, Li, et autres
Publié: (2024)

High-Dimension Human Value Representation in Large Language Models
par: Cahyawijaya, Samuel, et autres
Publié: (2024)

Compressing Sequences in the Latent Embedding Space: $K$-Token Merging for Large Language Models
par: Xu, Zihao, et autres
Publié: (2026)

RepCali: High Efficient Fine-tuning Via Representation Calibration in Latent Space for Pre-trained Language Models
par: Zhang, Fujun, et autres
Publié: (2025)

Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research
par: Zhong, Tianyang, et autres
Publié: (2024)

From Knowledge to Treatment: Large Language Model Assisted Biomedical Concept Representation for Drug Repurposing
par: Xiang, Chengrui, et autres
Publié: (2025)

Language Models Struggle to Use Representations Learned In-Context
par: Lepori, Michael A., et autres
Publié: (2026)

Kuaiji: the First Chinese Accounting Large Language Model
par: Luo, Jiayuan, et autres
Publié: (2024)

Large Language Models are In-Context Molecule Learners
par: Li, Jiatong, et autres
Publié: (2024)

Layer-Order Inversion: Rethinking Latent Multi-Hop Reasoning in Large Language Models
par: Liu, Xukai, et autres
Publié: (2026)

On the Failure of Latent State Persistence in Large Language Models
par: Huang, Jen-tse, et autres
Publié: (2025)

Efficient Post-Training Refinement of Latent Reasoning in Large Language Models
par: Wang, Xinyuan, et autres
Publié: (2025)

Unlocking the Working Memory of Large Language Models for Latent Reasoning
par: Aichberger, Lukas, et autres
Publié: (2026)

Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger
par: Li, Wenjun, et autres
Publié: (2025)

Reasoning Beyond Chain-of-Thought: A Latent Computational Mode in Large Language Models
par: He, Zhenghao, et autres
Publié: (2026)

On the Predictive Power of Representation Dispersion in Language Models
par: Li, Yanhong, et autres
Publié: (2025)

MedAction: Towards Active Multi-turn Clinical Diagnostic LLMs
par: Hsu, Hsin-Ling, et autres
Publié: (2026)

SeLaR: Selective Latent Reasoning in Large Language Models
par: Fu, Renyu, et autres
Publié: (2026)

Evaluating Latent Knowledge of Public Tabular Datasets in Large Language Models
par: Silvestri, Matteo, et autres
Publié: (2025)

Self-Specialization: Uncovering Latent Expertise within Large Language Models
par: Kang, Junmo, et autres
Publié: (2023)

Datasets for Large Language Models: A Comprehensive Survey
par: Liu, Yang, et autres
Publié: (2024)

On the Use of Large Language Models to Generate Capability Ontologies
par: da Silva, Luis Miguel Vieira, et autres
Publié: (2024)

ELAD: Explanation-Guided Large Language Models Active Distillation
par: Zhang, Yifei, et autres
Publié: (2024)

Do We Need Distinct Representations for Every Speech Token? Unveiling and Exploiting Redundancy in Large Speech Language Models
par: Xiang, Bajian, et autres
Publié: (2026)

What Really Controls Temporal Reasoning in Large Language Models: Tokenisation or Representation of Time?
par: Bhatia, Gagan, et autres
Publié: (2026)

Towards Efficient Large Language Models for Scientific Text: A Review
par: To, Huy Quoc, et autres
Publié: (2024)

Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer
par: Liu, Boan, et autres
Publié: (2023)

Measuring Representation Robustness in Large Language Models for Geometry
par: Jawandhia, Vedant, et autres
Publié: (2026)

On the Representations of Entities in Auto-regressive Large Language Models
par: Morand, Victor, et autres
Publié: (2025)

Editing Knowledge Representation of Language Model via Rephrased Prefix Prompts
par: Cai, Yuchen, et autres
Publié: (2024)

Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective
par: Li, Tianlong, et autres
Publié: (2024)

Divergent Creativity in Humans and Large Language Models
par: Bellemare-Pepin, Antoine, et autres
Publié: (2024)

Semi-supervised Fine-tuning for Large Language Models
par: Luo, Junyu, et autres
Publié: (2024)

iCLP: Large Language Model Reasoning with Implicit Cognition Latent Planning
par: Chen, Sijia, et autres
Publié: (2025)

Beacon: Single-Turn Diagnosis and Mitigation of Latent Sycophancy in Large Language Models
par: Pandey, Sanskar, et autres
Publié: (2025)

Large Language Models Explore by Latent Distilling
par: Zeng, Yuanhao, et autres
Publié: (2026)

Meta-Reasoning Improves Tool Use in Large Language Models
par: Alazraki, Lisa, et autres
Publié: (2024)

Leveraging Large Language Models for Active Merchant Non-player Characters
par: Kim, Byungjun, et autres
Publié: (2024)