Saved in:
| Main Authors: | Hammoud, Hasan Abed Al Kader, Itani, Hani, Ghanem, Bernard |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.20708 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Train Long, Think Short: Curriculum Learning for Efficient Reasoning
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2025)
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2025)
Hala Technical Report: Building Arabic-Centric Instruction & Translation Models at Scale
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2025)
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2025)
DiffCLIP: Differential Attention Meets CLIP
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2025)
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2025)
SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2024)
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2024)
An Embarrassingly Simple Defense Against LLM Abliteration Attacks
by: Shairah, Harethah Abu, et al.
Published: (2025)
by: Shairah, Harethah Abu, et al.
Published: (2025)
Turning the Spell Around: Lightweight Alignment Amplification via Rank-One Safety Injection
by: Shairah, Harethah Abu, et al.
Published: (2025)
by: Shairah, Harethah Abu, et al.
Published: (2025)
On the Importance of Pretraining Data Alignment for Atomic Property Prediction
by: Ghunaim, Yasir, et al.
Published: (2025)
by: Ghunaim, Yasir, et al.
Published: (2025)
Unforgotten Safety: Preserving Safety Alignment of Large Language Models with Continual Learning
by: Alssum, Lama, et al.
Published: (2025)
by: Alssum, Lama, et al.
Published: (2025)
Model Merging and Safety Alignment: One Bad Model Spoils the Bunch
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2024)
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2024)
AraLingBench A Human-Annotated Benchmark for Evaluating Arabic Linguistic Capabilities of Large Language Models
by: Zbeeb, Mohammad, et al.
Published: (2025)
by: Zbeeb, Mohammad, et al.
Published: (2025)
QuanBench+: A Unified Multi-Framework Benchmark for LLM-Based Quantum Code Generation
by: Slim, Ali, et al.
Published: (2026)
by: Slim, Ali, et al.
Published: (2026)
TAPS: Task Aware Proposal Distributions for Speculative Sampling
by: Zbib, Mohamad, et al.
Published: (2026)
by: Zbib, Mohamad, et al.
Published: (2026)
On Pretraining Data Diversity for Self-Supervised Learning
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2024)
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2024)
Reasoning Vectors: Transferring Chain-of-Thought Capabilities via Task Arithmetic
by: Zbeeb, Mohammad, et al.
Published: (2025)
by: Zbeeb, Mohammad, et al.
Published: (2025)
Forget Less, Retain More: A Lightweight Regularizer for Rehearsal-Based Continual Learning
by: Alssum, Lama, et al.
Published: (2025)
by: Alssum, Lama, et al.
Published: (2025)
Reasoning with Sampling: Your Base Model is Smarter Than You Think
by: Karan, Aayush, et al.
Published: (2025)
by: Karan, Aayush, et al.
Published: (2025)
Transformers from Compressed Representations
by: Alcazar, Juan C. Leon, et al.
Published: (2025)
by: Alcazar, Juan C. Leon, et al.
Published: (2025)
More Thinking, More Bias: Length-Driven Position Bias in Reasoning Models
by: Wang, Xiao
Published: (2026)
by: Wang, Xiao
Published: (2026)
Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning
by: Yang, Wang, et al.
Published: (2025)
by: Yang, Wang, et al.
Published: (2025)
CoDAR: Continuous Diffusion Language Models are More Powerful Than You Think
by: Shen, Junzhe, et al.
Published: (2026)
by: Shen, Junzhe, et al.
Published: (2026)
Think Before You Lie: How Reasoning Leads to Honesty
by: Yuan, Ann, et al.
Published: (2026)
by: Yuan, Ann, et al.
Published: (2026)
MoEs Are Stronger than You Think: Hyper-Parallel Inference Scaling with RoE
by: Zibakhsh, Soheil, et al.
Published: (2025)
by: Zibakhsh, Soheil, et al.
Published: (2025)
From Categories to Classifiers: Name-Only Continual Learning by Exploring the Web
by: Prabhu, Ameya, et al.
Published: (2023)
by: Prabhu, Ameya, et al.
Published: (2023)
Think Before You Prune: Self-Reflective Structured Pruning for Reasoning Language Models
by: Wang, Ziyan, et al.
Published: (2025)
by: Wang, Ziyan, et al.
Published: (2025)
Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation
by: Tian, Yijun, et al.
Published: (2024)
by: Tian, Yijun, et al.
Published: (2024)
More Compute Is What You Need
by: Guo, Zhen
Published: (2024)
by: Guo, Zhen
Published: (2024)
More Agents Is All You Need
by: Li, Junyou, et al.
Published: (2024)
by: Li, Junyou, et al.
Published: (2024)
LoRA Is Slower Than You Think
by: Ko, Seokmin
Published: (2025)
by: Ko, Seokmin
Published: (2025)
Evaluation of Test-Time Adaptation Under Computational Time Constraints
by: Alfarra, Motasem, et al.
Published: (2023)
by: Alfarra, Motasem, et al.
Published: (2023)
Efficient Reasoning with Hidden Thinking
by: Shen, Xuan, et al.
Published: (2025)
by: Shen, Xuan, et al.
Published: (2025)
Efficient Reasoning with Balanced Thinking
by: Li, Yulin, et al.
Published: (2026)
by: Li, Yulin, et al.
Published: (2026)
To Think or Not to Think: Exploring the Unthinking Vulnerability in Large Reasoning Models
by: Zhu, Zihao, et al.
Published: (2025)
by: Zhu, Zihao, et al.
Published: (2025)
AdapThink: Adaptive Thinking Preferences for Reasoning Language Model
by: Wan, Xu, et al.
Published: (2025)
by: Wan, Xu, et al.
Published: (2025)
AdaptThink: Reasoning Models Can Learn When to Think
by: Zhang, Jiajie, et al.
Published: (2025)
by: Zhang, Jiajie, et al.
Published: (2025)
Think Before You Act: Decision Transformers with Working Memory
by: Kang, Jikun, et al.
Published: (2023)
by: Kang, Jikun, et al.
Published: (2023)
SAVeS: Steering Safety Judgments in Vision-Language Models via Semantic Cues
by: Hinojosa, Carlos, et al.
Published: (2026)
by: Hinojosa, Carlos, et al.
Published: (2026)
Think When You Need: Self-Adaptive Chain-of-Thought Learning
by: Yang, Junjie, et al.
Published: (2025)
by: Yang, Junjie, et al.
Published: (2025)
Should You Use Your Large Language Model to Explore or Exploit?
by: Harris, Keegan, et al.
Published: (2025)
by: Harris, Keegan, et al.
Published: (2025)
Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models
by: Jha, Basab, et al.
Published: (2025)
by: Jha, Basab, et al.
Published: (2025)
ThinkRouter: Efficient Reasoning via Routing Thinking between Latent and Discrete Spaces
by: Xu, Xin, et al.
Published: (2026)
by: Xu, Xin, et al.
Published: (2026)
Similar Items
-
Train Long, Think Short: Curriculum Learning for Efficient Reasoning
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2025) -
Hala Technical Report: Building Arabic-Centric Instruction & Translation Models at Scale
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2025) -
DiffCLIP: Differential Attention Meets CLIP
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2025) -
SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2024) -
An Embarrassingly Simple Defense Against LLM Abliteration Attacks
by: Shairah, Harethah Abu, et al.
Published: (2025)