Imagen de Portada

Scaling Behavior for Large Language Models regarding Numeral Systems: An Example using Pythia

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhou, Zhejian, Wang, Jiayu, Lin, Dahua, Chen, Kai
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models
por: Gu, Yuzhe, et al.
Publicado: (2024)

LEAN-GitHub: Compiling GitHub LEAN repositories for a versatile LEAN prover
por: Wu, Zijian, et al.
Publicado: (2024)

How Language Models Process Negation
por: Zhou, Zhejian, et al.
Publicado: (2026)

InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning
por: Ying, Huaiyuan, et al.
Publicado: (2024)

InternLM2.5-StepProver: Advancing Automated Theorem Proving via Critic-Guided Search
por: Wu, Zijian, et al.
Publicado: (2024)

ANAH: Analytical Annotation of Hallucinations in Large Language Models
por: Ji, Ziwei, et al.
Publicado: (2024)

Conceptual Steganography
por: Zhou, Zhejian, et al.
Publicado: (2026)

Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models
por: Chen, Zehui, et al.
Publicado: (2024)

CriticEval: Evaluating Large Language Model as Critic
por: Lan, Tian, et al.
Publicado: (2024)

Data-free Weight Compress and Denoise for Large Language Models
por: Peng, Runyu, et al.
Publicado: (2024)

InternLM-Law: An Open Source Chinese Legal Large Language Model
por: Fei, Zhiwei, et al.
Publicado: (2024)

PolyPythias: Stability and Outliers across Fifty Language Model Pre-Training Runs
por: van der Wal, Oskar, et al.
Publicado: (2025)

PointLLM: Empowering Large Language Models to Understand Point Clouds
por: Xu, Runsen, et al.
Publicado: (2023)

Unveiling the Misuse Potential of Base Large Language Models via In-Context Learning
por: Wang, Xiao, et al.
Publicado: (2024)

Beyond Fixed: Training-Free Variable-Length Denoising for Diffusion Large Language Models
por: Li, Jinsong, et al.
Publicado: (2025)

T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step
por: Chen, Zehui, et al.
Publicado: (2023)

Learning to Retrieve In-Context Examples for Large Language Models
por: Wang, Liang, et al.
Publicado: (2023)

The Oracle Has Spoken: A Multi-Aspect Evaluation of Dialogue in Pythia
por: Chen, Zixun, et al.
Publicado: (2025)

Training Language Models to Critique With Multi-agent Feedback
por: Lan, Tian, et al.
Publicado: (2024)

Uncertainty Aware Learning for Language Model Alignment
por: Wang, Yikun, et al.
Publicado: (2024)

Temporal Scaling Law for Large Language Models
por: Xiong, Yizhe, et al.
Publicado: (2024)

SKVQ: Sliding-window Key and Value Cache Quantization for Large Language Models
por: Duanmu, Haojie, et al.
Publicado: (2024)

How to Retrieve Examples in In-context Learning to Improve Conversational Emotion Recognition using Large Language Models?
por: Wang, Mengqi, et al.
Publicado: (2025)

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

Learning and Forgetting Unsafe Examples in Large Language Models
por: Zhao, Jiachen, et al.
Publicado: (2023)

Investigating Numerical Translation with Large Language Models
por: Tang, Wei, et al.
Publicado: (2025)

Scaling Laws for Fact Memorization of Large Language Models
por: Lu, Xingyu, et al.
Publicado: (2024)

Navigating the OverKill in Large Language Models
por: Shi, Chenyu, et al.
Publicado: (2024)

Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs
por: Gu, Yuzhe, et al.
Publicado: (2025)

Uncertainty Unveiled: Can Exposure to More In-context Examples Mitigate Uncertainty for Large Language Models?
por: Wang, Yifei, et al.
Publicado: (2025)

Scaling Behavior of Machine Translation with Large Language Models under Prompt Injection Attacks
por: Sun, Zhifan, et al.
Publicado: (2024)

Reinforcement Learning for Reasoning in Large Language Models with One Training Example
por: Wang, Yiping, et al.
Publicado: (2025)

MetaRuleGPT: Recursive Numerical Reasoning of Language Models Trained with Simple Rules
por: Chen, Kejie, et al.
Publicado: (2024)

Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarks
por: Wang, Chonghua, et al.
Publicado: (2024)

NUMCoT: Numerals and Units of Measurement in Chain-of-Thought Reasoning using Large Language Models
por: Xu, Ancheng, et al.
Publicado: (2024)

End-to-End Graph Flattening Method for Large Language Models
por: Hong, Bin, et al.
Publicado: (2024)

Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models
por: Xiang, Yanzheng, et al.
Publicado: (2024)

MLP Memory: A Retriever-Pretrained Memory for Large Language Models
por: Wei, Rubin, et al.
Publicado: (2025)

Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models' Uncertainty?
por: Liu, Jiayu, et al.
Publicado: (2025)

BACH-V: Bridging Abstract and Concrete Human-Values in Large Language Models
por: Zhang, Junyu, et al.
Publicado: (2026)