Exploring Multilingual Probing in Large Language Models: A Cross-Language Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Daoyang, Zhao, Haiyan, Zeng, Qingcheng, Du, Mengnan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?
by: Jin, Mingyu, et al.
Published: (2024)
by: Jin, Mingyu, et al.
Published: (2024)
A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models
by: Shu, Dong, et al.
Published: (2025)
by: Shu, Dong, et al.
Published: (2025)
SAIF: A Sparse Autoencoder Framework for Interpreting and Steering Instruction Following of Language Models
by: He, Zirui, et al.
Published: (2025)
by: He, Zirui, et al.
Published: (2025)
Fine-Grained Interpretation of Political Opinions in Large Language Models
by: Hu, Jingyu, et al.
Published: (2025)
by: Hu, Jingyu, et al.
Published: (2025)
Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution
by: Zhao, Haiyan, et al.
Published: (2024)
by: Zhao, Haiyan, et al.
Published: (2024)
Large Language Models Explore by Latent Distilling
by: Zeng, Yuanhao, et al.
Published: (2026)
by: Zeng, Yuanhao, et al.
Published: (2026)
Beyond Input Activations: Identifying Influential Latents by Gradient Sparse Autoencoders
by: Shu, Dong, et al.
Published: (2025)
by: Shu, Dong, et al.
Published: (2025)
Comparative Analysis of Demonstration Selection Algorithms for LLM In-Context Learning
by: Shu, Dong, et al.
Published: (2024)
by: Shu, Dong, et al.
Published: (2024)
Probing the Decision Boundaries of In-context Learning in Large Language Models
by: Zhao, Siyan, et al.
Published: (2024)
by: Zhao, Siyan, et al.
Published: (2024)
Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages
by: Li, Zihao, et al.
Published: (2024)
by: Li, Zihao, et al.
Published: (2024)
Dynamic Evaluation of Large Language Models by Meta Probing Agents
by: Zhu, Kaijie, et al.
Published: (2024)
by: Zhu, Kaijie, et al.
Published: (2024)
FaithLM: Towards Faithful Explanations for Large Language Models
by: Chuang, Yu-Neng, et al.
Published: (2024)
by: Chuang, Yu-Neng, et al.
Published: (2024)
Exploring Multilingual Large Language Models for Enhanced TNM classification of Radiology Report in lung cancer staging
by: Matsuo, Hidetoshi, et al.
Published: (2024)
by: Matsuo, Hidetoshi, et al.
Published: (2024)
Language over Content: Tracing Cultural Understanding in Multilingual Large Language Models
by: Cho, Seungho, et al.
Published: (2025)
by: Cho, Seungho, et al.
Published: (2025)
Analyzing the Evaluation of Cross-Lingual Knowledge Transfer in Multilingual Language Models
by: Rajaee, Sara, et al.
Published: (2024)
by: Rajaee, Sara, et al.
Published: (2024)
LOLA -- An Open-Source Massively Multilingual Large Language Model
by: Srivastava, Nikit, et al.
Published: (2024)
by: Srivastava, Nikit, et al.
Published: (2024)
Evaluating the Limits of Large Language Models in Multilingual Legal Reasoning
by: Ioannou, Antreas, et al.
Published: (2025)
by: Ioannou, Antreas, et al.
Published: (2025)
Multilinguality of Large Language Models From a Structural Perspective
by: Sakajo, Haruki, et al.
Published: (2026)
by: Sakajo, Haruki, et al.
Published: (2026)
SambaLingo: Teaching Large Language Models New Languages
by: Csaki, Zoltan, et al.
Published: (2024)
by: Csaki, Zoltan, et al.
Published: (2024)
Rep2Text: Decoding Full Text from a Single LLM Token Representation
by: Zhao, Haiyan, et al.
Published: (2025)
by: Zhao, Haiyan, et al.
Published: (2025)
Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models
by: Luo, Zheng, et al.
Published: (2026)
by: Luo, Zheng, et al.
Published: (2026)
A Multilingual Sentiment Lexicon for Low-Resource Language Translation using Large Languages Models and Explainable AI
by: Malinga, Melusi, et al.
Published: (2024)
by: Malinga, Melusi, et al.
Published: (2024)
$T^2$ of Thoughts: Temperature Tree Elicits Reasoning in Large Language Models
by: Cai, Chengkun, et al.
Published: (2024)
by: Cai, Chengkun, et al.
Published: (2024)
Sparse is Enough in Fine-tuning Pre-trained Large Language Models
by: Song, Weixi, et al.
Published: (2023)
by: Song, Weixi, et al.
Published: (2023)
NeSTR: A Neuro-Symbolic Abductive Framework for Temporal Reasoning in Large Language Models
by: Liang, Feng, et al.
Published: (2025)
by: Liang, Feng, et al.
Published: (2025)
Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks
by: Vatsal, Shubham, et al.
Published: (2025)
by: Vatsal, Shubham, et al.
Published: (2025)
MuRating: A High Quality Data Selecting Approach to Multilingual Large Language Model Pretraining
by: Chen, Zhixun, et al.
Published: (2025)
by: Chen, Zhixun, et al.
Published: (2025)
All Language Models Large and Small
by: Chen, Zhixun, et al.
Published: (2024)
by: Chen, Zhixun, et al.
Published: (2024)
PAT: Pruning-Aware Tuning for Large Language Models
by: Liu, Yijiang, et al.
Published: (2024)
by: Liu, Yijiang, et al.
Published: (2024)
Exploring Memorization in Fine-tuned Language Models
by: Zeng, Shenglai, et al.
Published: (2023)
by: Zeng, Shenglai, et al.
Published: (2023)
Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models
by: Qi, Jirui, et al.
Published: (2023)
by: Qi, Jirui, et al.
Published: (2023)
Exploring and Benchmarking the Planning Capabilities of Large Language Models
by: Bohnet, Bernd, et al.
Published: (2024)
by: Bohnet, Bernd, et al.
Published: (2024)
Steering into New Embedding Spaces: Analyzing Cross-Lingual Alignment Induced by Model Interventions in Multilingual Language Models
by: Sundar, Anirudh, et al.
Published: (2025)
by: Sundar, Anirudh, et al.
Published: (2025)
Large Language Models for Cross-lingual Emotion Detection
by: Kadiyala, Ram Mohan Rao
Published: (2024)
by: Kadiyala, Ram Mohan Rao
Published: (2024)
BASE-Q: Bias and Asymmetric Scaling Enhanced Rotational Quantization for Large Language Models
by: He, Liulu, et al.
Published: (2025)
by: He, Liulu, et al.
Published: (2025)
LocMoE: A Low-Overhead MoE for Large Language Model Training
by: Li, Jing, et al.
Published: (2024)
by: Li, Jing, et al.
Published: (2024)
On the Compressibility of Quantized Large Language Models
by: Mao, Yu, et al.
Published: (2024)
by: Mao, Yu, et al.
Published: (2024)
Talking Nonsense: Probing Large Language Models' Understanding of Adversarial Gibberish Inputs
by: Cherepanova, Valeriia, et al.
Published: (2024)
by: Cherepanova, Valeriia, et al.
Published: (2024)
Bringing Up a Bilingual BabyLM: Investigating Multilingual Language Acquisition Using Small-Scale Models
by: Zeng, Linda, et al.
Published: (2026)
by: Zeng, Linda, et al.
Published: (2026)
M2Lingual: Enhancing Multilingual, Multi-Turn Instruction Alignment in Large Language Models
by: Maheshwary, Rishabh, et al.
Published: (2024)
by: Maheshwary, Rishabh, et al.
Published: (2024)
Similar Items
-
Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?
by: Jin, Mingyu, et al.
Published: (2024) -
A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models
by: Shu, Dong, et al.
Published: (2025) -
SAIF: A Sparse Autoencoder Framework for Interpreting and Steering Instruction Following of Language Models
by: He, Zirui, et al.
Published: (2025) -
Fine-Grained Interpretation of Political Opinions in Large Language Models
by: Hu, Jingyu, et al.
Published: (2025) -
Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution
by: Zhao, Haiyan, et al.
Published: (2024)