Revealing emergent human-like conceptual representations from language prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Ningyu, Zhang, Qi, Du, Chao, Luo, Qiang, Qiu, Xipeng, Huang, Xuanjing, Zhang, Menghan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models
by: Xu, Ningyu, et al.
Published: (2026)
by: Xu, Ningyu, et al.
Published: (2026)
On the Tip of the Tongue: Analyzing Conceptual Representation in Large Language Models with Reverse-Dictionary Probe
by: Xu, Ningyu, et al.
Published: (2024)
by: Xu, Ningyu, et al.
Published: (2024)
AstroReason-Bench: Evaluating Unified Agentic Planning across Heterogeneous Space Planning Problems
by: Wang, Weiyi, et al.
Published: (2026)
by: Wang, Weiyi, et al.
Published: (2026)
Human-like object concept representations emerge naturally in multimodal large language models
by: Du, Changde, et al.
Published: (2024)
by: Du, Changde, et al.
Published: (2024)
Towards Global Retrieval Augmented Generation: A Benchmark for Corpus-Level Reasoning
by: Luo, Qi, et al.
Published: (2025)
by: Luo, Qi, et al.
Published: (2025)
Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Model
by: Wang, Siyin, et al.
Published: (2024)
by: Wang, Siyin, et al.
Published: (2024)
Tracing the ongoing emergence of human-like reasoning in Large Language Models
by: Morosi, Paolo, et al.
Published: (2026)
by: Morosi, Paolo, et al.
Published: (2026)
HumT DumT: Measuring and controlling human-like language in LLMs
by: Cheng, Myra, et al.
Published: (2025)
by: Cheng, Myra, et al.
Published: (2025)
Turbulence-like 5/3 spectral scaling in contextual representations of language as a complex system
by: Yang, Zhongxin, et al.
Published: (2026)
by: Yang, Zhongxin, et al.
Published: (2026)
LLaMA Beyond English: An Empirical Study on Language Capability Transfer
by: Zhao, Jun, et al.
Published: (2024)
by: Zhao, Jun, et al.
Published: (2024)
CCTU: A Benchmark for Tool Use under Complex Constraints
by: Ye, Junjie, et al.
Published: (2026)
by: Ye, Junjie, et al.
Published: (2026)
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning
by: Zhao, Jun, et al.
Published: (2024)
by: Zhao, Jun, et al.
Published: (2024)
Can LLMs interpret figurative language as humans do?: surface-level vs representational similarity
by: Bollepally, Samhita, et al.
Published: (2026)
by: Bollepally, Samhita, et al.
Published: (2026)
FamilyTool: A Multi-hop Personalized Tool Use Benchmark
by: Wang, Yuxin, et al.
Published: (2025)
by: Wang, Yuxin, et al.
Published: (2025)
Post-training makes large language models less human-like
by: Binz, Marcel, et al.
Published: (2026)
by: Binz, Marcel, et al.
Published: (2026)
Are Large Language Models Good Prompt Optimizers?
by: Ma, Ruotian, et al.
Published: (2024)
by: Ma, Ruotian, et al.
Published: (2024)
VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models
by: Li, Zejun, et al.
Published: (2024)
by: Li, Zejun, et al.
Published: (2024)
Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?
by: Zeng, Zhiyuan, et al.
Published: (2025)
by: Zeng, Zhiyuan, et al.
Published: (2025)
GAOKAO-MM: A Chinese Human-Level Benchmark for Multimodal Models Evaluation
by: Zong, Yi, et al.
Published: (2024)
by: Zong, Yi, et al.
Published: (2024)
VehicleWorld: A Highly Integrated Multi-Device Environment for Intelligent Vehicle Interaction
by: Yang, Jie, et al.
Published: (2025)
by: Yang, Jie, et al.
Published: (2025)
Ploutos: Towards interpretable stock movement prediction with financial large language model
by: Tong, Hanshuang, et al.
Published: (2024)
by: Tong, Hanshuang, et al.
Published: (2024)
Scaling Laws of RoPE-based Extrapolation
by: Liu, Xiaoran, et al.
Published: (2023)
by: Liu, Xiaoran, et al.
Published: (2023)
Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture without Training
by: Zhang, Mozhi, et al.
Published: (2025)
by: Zhang, Mozhi, et al.
Published: (2025)
Leveraging large language models for efficient representation learning for entity resolution
by: Xu, Xiaowei, et al.
Published: (2024)
by: Xu, Xiaowei, et al.
Published: (2024)
TouchAI: Exploring human-AI perceptual alignment in touch through language model representations
by: Zhong, Shu, et al.
Published: (2024)
by: Zhong, Shu, et al.
Published: (2024)
Agent Alignment in Evolving Social Norms
by: Li, Shimin, et al.
Published: (2024)
by: Li, Shimin, et al.
Published: (2024)
Evaluating the Performance of Large Language Models on GAOKAO Benchmark
by: Zhang, Xiaotian, et al.
Published: (2023)
by: Zhang, Xiaotian, et al.
Published: (2023)
Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments
by: Ye, Junjie, et al.
Published: (2025)
by: Ye, Junjie, et al.
Published: (2025)
Are they human? Detecting large language models by probing human memory constraints
by: Schug, Simon, et al.
Published: (2026)
by: Schug, Simon, et al.
Published: (2026)
Just-in-time and distributed task representations in language models
by: Li, Yuxuan, et al.
Published: (2025)
by: Li, Yuxuan, et al.
Published: (2025)
When is the consistent prediction likely to be a correct prediction?
by: Nguyen, Alex, et al.
Published: (2024)
by: Nguyen, Alex, et al.
Published: (2024)
LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration
by: Zhao, Jun, et al.
Published: (2024)
by: Zhao, Jun, et al.
Published: (2024)
Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs
by: Ji, Tao, et al.
Published: (2025)
by: Ji, Tao, et al.
Published: (2025)
Left-right asymmetry in predicting brain activity from LLMs' representations emerges with their formal linguistic competence
by: Bonnasse-Gahot, Laurent, et al.
Published: (2026)
by: Bonnasse-Gahot, Laurent, et al.
Published: (2026)
Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement
by: Xi, Zhiheng, et al.
Published: (2023)
by: Xi, Zhiheng, et al.
Published: (2023)
LongHeads: Multi-Head Attention is Secretly a Long Context Processor
by: Lu, Yi, et al.
Published: (2024)
by: Lu, Yi, et al.
Published: (2024)
60 Data Points are Sufficient to Fine-Tune LLMs for Question-Answering
by: Ye, Junjie, et al.
Published: (2024)
by: Ye, Junjie, et al.
Published: (2024)
ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages
by: Ye, Junjie, et al.
Published: (2024)
by: Ye, Junjie, et al.
Published: (2024)
Identifying Semantic Induction Heads to Understand In-Context Learning
by: Ren, Jie, et al.
Published: (2024)
by: Ren, Jie, et al.
Published: (2024)
Alignment for Honesty
by: Yang, Yuqing, et al.
Published: (2023)
by: Yang, Yuqing, et al.
Published: (2023)
Similar Items
-
Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models
by: Xu, Ningyu, et al.
Published: (2026) -
On the Tip of the Tongue: Analyzing Conceptual Representation in Large Language Models with Reverse-Dictionary Probe
by: Xu, Ningyu, et al.
Published: (2024) -
AstroReason-Bench: Evaluating Unified Agentic Planning across Heterogeneous Space Planning Problems
by: Wang, Weiyi, et al.
Published: (2026) -
Human-like object concept representations emerge naturally in multimodal large language models
by: Du, Changde, et al.
Published: (2024) -
Towards Global Retrieval Augmented Generation: A Benchmark for Corpus-Level Reasoning
by: Luo, Qi, et al.
Published: (2025)