Saved in:
| Main Authors: | Papadopoulos, Vassilis, Wenger, Jérémie, Hongler, Clément |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2401.17505 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Cross-Entropy Games for Language Models: From Implicit Knowledge to General Capability Measures
by: Hongler, Clément, et al.
Published: (2025)
by: Hongler, Clément, et al.
Published: (2025)
Explaining Large Language Models with gSMILE
by: Dehghani, Zeinab, et al.
Published: (2025)
by: Dehghani, Zeinab, et al.
Published: (2025)
We're Different, We're the Same: Creative Homogeneity Across LLMs
by: Wenger, Emily, et al.
Published: (2025)
by: Wenger, Emily, et al.
Published: (2025)
Test-Time Learning for Large Language Models
by: Hu, Jinwu, et al.
Published: (2025)
by: Hu, Jinwu, et al.
Published: (2025)
Transcoders Trace Visual Grounding and Hallucinations in Vision-Language Models
by: Damianos, Dimitrios, et al.
Published: (2026)
by: Damianos, Dimitrios, et al.
Published: (2026)
Large Language Models for Time Series: A Survey
by: Zhang, Xiyuan, et al.
Published: (2024)
by: Zhang, Xiyuan, et al.
Published: (2024)
Efficient and Personalized Mobile Health Event Prediction via Small Language Models
by: Wang, Xin, et al.
Published: (2024)
by: Wang, Xin, et al.
Published: (2024)
Can Visual Encoder Learn to See Arrows?
by: Terashita, Naoyuki, et al.
Published: (2025)
by: Terashita, Naoyuki, et al.
Published: (2025)
Provable Scaling Laws for the Test-Time Compute of Large Language Models
by: Chen, Yanxi, et al.
Published: (2024)
by: Chen, Yanxi, et al.
Published: (2024)
Query-Conditioned Test-Time Self-Training for Large Language Models
by: Song, Chaehee, et al.
Published: (2026)
by: Song, Chaehee, et al.
Published: (2026)
TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Models
by: Wang, Jiahao, et al.
Published: (2024)
by: Wang, Jiahao, et al.
Published: (2024)
STELLA: Guiding Large Language Models for Time Series Forecasting with Semantic Abstractions
by: Fan, Junjie, et al.
Published: (2025)
by: Fan, Junjie, et al.
Published: (2025)
Time-To-Inconsistency: A Survival Analysis of Large Language Model Robustness to Adversarial Attacks
by: Li, Yubo, et al.
Published: (2025)
by: Li, Yubo, et al.
Published: (2025)
Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification
by: Kang, Haoqiang, et al.
Published: (2023)
by: Kang, Haoqiang, et al.
Published: (2023)
Mitigating Over-Refusal in Aligned Large Language Models via Inference-Time Activation Energy
by: Jiang, Eric Hanchen, et al.
Published: (2025)
by: Jiang, Eric Hanchen, et al.
Published: (2025)
Large Language Model Pruning
by: Huang, Hanjuan, et al.
Published: (2024)
by: Huang, Hanjuan, et al.
Published: (2024)
Causality for Large Language Models
by: Wu, Anpeng, et al.
Published: (2024)
by: Wu, Anpeng, et al.
Published: (2024)
Large Language Model Unlearning
by: Yao, Yuanshun, et al.
Published: (2023)
by: Yao, Yuanshun, et al.
Published: (2023)
Foundations of Large Language Models
by: Xiao, Tong, et al.
Published: (2025)
by: Xiao, Tong, et al.
Published: (2025)
Large Language Models as Optimizers
by: Yang, Chengrun, et al.
Published: (2023)
by: Yang, Chengrun, et al.
Published: (2023)
FineSteer: A Unified Framework for Fine-Grained Inference-Time Steering in Large Language Models
by: Weng, Zixuan, et al.
Published: (2026)
by: Weng, Zixuan, et al.
Published: (2026)
Less Diverse, Less Safe: The Indirect But Pervasive Risk of Test-Time Scaling in Large Language Models
by: Nahin, Shahriar Kabir, et al.
Published: (2025)
by: Nahin, Shahriar Kabir, et al.
Published: (2025)
Language Models Represent Space and Time
by: Gurnee, Wes, et al.
Published: (2023)
by: Gurnee, Wes, et al.
Published: (2023)
On the Compressibility of Quantized Large Language Models
by: Mao, Yu, et al.
Published: (2024)
by: Mao, Yu, et al.
Published: (2024)
Textual Aesthetics in Large Language Models
by: Jiang, Lingjie, et al.
Published: (2024)
by: Jiang, Lingjie, et al.
Published: (2024)
Large Language Models as Markov Chains
by: Zekri, Oussama, et al.
Published: (2024)
by: Zekri, Oussama, et al.
Published: (2024)
Offset Unlearning for Large Language Models
by: Huang, James Y., et al.
Published: (2024)
by: Huang, James Y., et al.
Published: (2024)
Detecting Memorization in Large Language Models
by: Slonski, Eduardo
Published: (2024)
by: Slonski, Eduardo
Published: (2024)
Rational Metareasoning for Large Language Models
by: De Sabbata, C. Nicolò, et al.
Published: (2024)
by: De Sabbata, C. Nicolò, et al.
Published: (2024)
Scientific Computing with Large Language Models
by: Culver, Christopher, et al.
Published: (2024)
by: Culver, Christopher, et al.
Published: (2024)
All Language Models Large and Small
by: Chen, Zhixun, et al.
Published: (2024)
by: Chen, Zhixun, et al.
Published: (2024)
Systematic Outliers in Large Language Models
by: An, Yongqi, et al.
Published: (2025)
by: An, Yongqi, et al.
Published: (2025)
Large Language Models as Tool Makers
by: Cai, Tianle, et al.
Published: (2023)
by: Cai, Tianle, et al.
Published: (2023)
Large Language Model Reasoning Failures
by: Song, Peiyang, et al.
Published: (2026)
by: Song, Peiyang, et al.
Published: (2026)
Large Language Models to Diffusion Finetuning
by: Cetin, Edoardo, et al.
Published: (2025)
by: Cetin, Edoardo, et al.
Published: (2025)
An Overview of Large Language Models for Statisticians
by: Ji, Wenlong, et al.
Published: (2025)
by: Ji, Wenlong, et al.
Published: (2025)
Towards Trustable Language Models: Investigating Information Quality of Large Language Models
by: Rejeleene, Rick, et al.
Published: (2024)
by: Rejeleene, Rick, et al.
Published: (2024)
Are Small Language Models Ready to Compete with Large Language Models for Practical Applications?
by: Sinha, Neelabh, et al.
Published: (2024)
by: Sinha, Neelabh, et al.
Published: (2024)
Text2TimeSeries: Enhancing Financial Forecasting through Time Series Prediction Updates with Event-Driven Insights from Large Language Models
by: Kurisinkel, Litton Jose, et al.
Published: (2024)
by: Kurisinkel, Litton Jose, et al.
Published: (2024)
SambaLingo: Teaching Large Language Models New Languages
by: Csaki, Zoltan, et al.
Published: (2024)
by: Csaki, Zoltan, et al.
Published: (2024)
Similar Items
-
Cross-Entropy Games for Language Models: From Implicit Knowledge to General Capability Measures
by: Hongler, Clément, et al.
Published: (2025) -
Explaining Large Language Models with gSMILE
by: Dehghani, Zeinab, et al.
Published: (2025) -
We're Different, We're the Same: Creative Homogeneity Across LLMs
by: Wenger, Emily, et al.
Published: (2025) -
Test-Time Learning for Large Language Models
by: Hu, Jinwu, et al.
Published: (2025) -
Transcoders Trace Visual Grounding and Hallucinations in Vision-Language Models
by: Damianos, Dimitrios, et al.
Published: (2026)