Unveiling Reasoning Thresholds in Language Models: Scaling, Fine-Tuning, and Interpretability through Attention Maps
Fuente:
arXiv
Saved in:
| Main Authors: | Hsiao, Yen-Che, Dutta, Abhishek |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Autonomous Agents: Adaptive-planning, Reasoning, and Acting in Language Models
by: Dutta, Abhishek, et al.
Published: (2024)
by: Dutta, Abhishek, et al.
Published: (2024)
Adaptive Reasoning and Acting in Medical Language Agents
by: Dutta, Abhishek, et al.
Published: (2024)
by: Dutta, Abhishek, et al.
Published: (2024)
Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning
by: Zhang, Xinlu, et al.
Published: (2024)
by: Zhang, Xinlu, et al.
Published: (2024)
GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models
by: Feng, Jiarui, et al.
Published: (2025)
by: Feng, Jiarui, et al.
Published: (2025)
Pramana: Fine-Tuning Large Language Models for Epistemic Reasoning through Navya-Nyaya
by: Sathish, Sharath
Published: (2026)
by: Sathish, Sharath
Published: (2026)
Efficient transformer with reinforced position embedding for language models
by: Hsiao, Yen-Che, et al.
Published: (2024)
by: Hsiao, Yen-Che, et al.
Published: (2024)
Small Language Models Fine-tuned to Coordinate Larger Language Models improve Complex Reasoning
by: Juneja, Gurusha, et al.
Published: (2023)
by: Juneja, Gurusha, et al.
Published: (2023)
Reasoning Towards Fairness: Mitigating Bias in Language Models through Reasoning-Guided Fine-Tuning
by: Kabra, Sanchit, et al.
Published: (2025)
by: Kabra, Sanchit, et al.
Published: (2025)
Model Fusion through Bayesian Optimization in Language Model Fine-Tuning
by: Jang, Chaeyun, et al.
Published: (2024)
by: Jang, Chaeyun, et al.
Published: (2024)
Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment
by: Song, Feifan, et al.
Published: (2024)
by: Song, Feifan, et al.
Published: (2024)
Enhancing ML Model Interpretability: Leveraging Fine-Tuned Large Language Models for Better Understanding of AI
by: Bokstaller, Jonas, et al.
Published: (2025)
by: Bokstaller, Jonas, et al.
Published: (2025)
Scaling Sparse Fine-Tuning to Large Language Models
by: Ansell, Alan, et al.
Published: (2024)
by: Ansell, Alan, et al.
Published: (2024)
CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models
by: Han, Kairong, et al.
Published: (2025)
by: Han, Kairong, et al.
Published: (2025)
Overtrained Language Models Are Harder to Fine-Tune
by: Springer, Jacob Mitchell, et al.
Published: (2025)
by: Springer, Jacob Mitchell, et al.
Published: (2025)
Memorization in Fine-Tuned Large Language Models
by: Savine, Danil
Published: (2025)
by: Savine, Danil
Published: (2025)
Parallel Scaling Law: Unveiling Reasoning Generalization through A Cross-Linguistic Perspective
by: Yang, Wen, et al.
Published: (2025)
by: Yang, Wen, et al.
Published: (2025)
Domain-Adaptation through Synthetic Data: Fine-Tuning Large Language Models for German Law
by: Bashir, Ali Hamza, et al.
Published: (2026)
by: Bashir, Ali Hamza, et al.
Published: (2026)
Natural Language Fine-Tuning
by: Liu, Jia, et al.
Published: (2024)
by: Liu, Jia, et al.
Published: (2024)
Safety-Aware Fine-Tuning of Large Language Models
by: Choi, Hyeong Kyu, et al.
Published: (2024)
by: Choi, Hyeong Kyu, et al.
Published: (2024)
Phased Instruction Fine-Tuning for Large Language Models
by: Pang, Wei, et al.
Published: (2024)
by: Pang, Wei, et al.
Published: (2024)
Mitigating Content Effects on Reasoning in Language Models through Fine-Grained Activation Steering
by: Valentino, Marco, et al.
Published: (2025)
by: Valentino, Marco, et al.
Published: (2025)
Fine-Tuning or Fine-Failing? Debunking Performance Myths in Large Language Models
by: Barnett, Scott, et al.
Published: (2024)
by: Barnett, Scott, et al.
Published: (2024)
Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
by: Luo, Linhao, et al.
Published: (2023)
by: Luo, Linhao, et al.
Published: (2023)
TS-PEFT: Unveiling Token-Level Redundancy in Parameter-Efficient Fine-Tuning
by: Ma, Dabiao, et al.
Published: (2025)
by: Ma, Dabiao, et al.
Published: (2025)
CARE: A QLoRA-Fine Tuned Multi-Domain Chatbot With Fast Learning On Minimal Hardware
by: Dutta, Ankit, et al.
Published: (2025)
by: Dutta, Ankit, et al.
Published: (2025)
Indic-TunedLens: Interpreting Multilingual Models in Indian Languages
by: Panchal, Mihir, et al.
Published: (2026)
by: Panchal, Mihir, et al.
Published: (2026)
Activation Scaling for Steering and Interpreting Language Models
by: Stoehr, Niklas, et al.
Published: (2024)
by: Stoehr, Niklas, et al.
Published: (2024)
Attention-Aligned Reasoning for Large Language Models
by: Zhang, Hongxiang, et al.
Published: (2025)
by: Zhang, Hongxiang, et al.
Published: (2025)
Reversing Large Language Models for Efficient Training and Fine-Tuning
by: Gal, Eshed, et al.
Published: (2025)
by: Gal, Eshed, et al.
Published: (2025)
Impact of Fine-Tuning Methods on Memorization in Large Language Models
by: Hou, Jie, et al.
Published: (2025)
by: Hou, Jie, et al.
Published: (2025)
Fine-Tuned Language Models for Domain-Specific Summarization and Tagging
by: Wang, Jun, et al.
Published: (2025)
by: Wang, Jun, et al.
Published: (2025)
Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models
by: Sun, Haoyuan, et al.
Published: (2025)
by: Sun, Haoyuan, et al.
Published: (2025)
SignAttention: On the Interpretability of Transformer Models for Sign Language Translation
by: Bianco, Pedro Alejandro Dal, et al.
Published: (2024)
by: Bianco, Pedro Alejandro Dal, et al.
Published: (2024)
Cognitive BASIC: An In-Model Interpreted Reasoning Language for LLMs
by: Kramer, Oliver
Published: (2025)
by: Kramer, Oliver
Published: (2025)
Unveiling Language Routing Isolation in Multilingual MoE Models for Interpretable Subnetwork Adaptation
by: Zheng, Kening, et al.
Published: (2026)
by: Zheng, Kening, et al.
Published: (2026)
Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models
by: Khadangi, Afshin, et al.
Published: (2025)
by: Khadangi, Afshin, et al.
Published: (2025)
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
by: Lyu, Yougang, et al.
Published: (2024)
by: Lyu, Yougang, et al.
Published: (2024)
Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models
by: Liu, Xinxin, et al.
Published: (2024)
by: Liu, Xinxin, et al.
Published: (2024)
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models
by: Zheng, Yaowei, et al.
Published: (2024)
by: Zheng, Yaowei, et al.
Published: (2024)
Efficient Fine-Tuning of Large Language Models for Automated Medical Documentation
by: Leong, Hui Yi, et al.
Published: (2024)
by: Leong, Hui Yi, et al.
Published: (2024)
Similar Items
-
Towards Autonomous Agents: Adaptive-planning, Reasoning, and Acting in Language Models
by: Dutta, Abhishek, et al.
Published: (2024) -
Adaptive Reasoning and Acting in Medical Language Agents
by: Dutta, Abhishek, et al.
Published: (2024) -
Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning
by: Zhang, Xinlu, et al.
Published: (2024) -
GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models
by: Feng, Jiarui, et al.
Published: (2025) -
Pramana: Fine-Tuning Large Language Models for Epistemic Reasoning through Navya-Nyaya
by: Sathish, Sharath
Published: (2026)