The representation landscape of few-shot learning and fine-tuning in large language models
Fuente:
arXiv
Saved in:
| Main Authors: | Doimo, Diego, Serra, Alessandro, Ansuini, Alessio, Cazzaniga, Alberto |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Narrow Gate: Localized Image-Text Communication in Native Multimodal Models
by: Serra, Alessandro Pietro, et al.
Published: (2024)
by: Serra, Alessandro Pietro, et al.
Published: (2024)
Persistent Topological Features in Large Language Models
by: Gardinazzi, Yuri, et al.
Published: (2024)
by: Gardinazzi, Yuri, et al.
Published: (2024)
Head Pursuit: Probing Attention Specialization in Multimodal Transformers
by: Basile, Lorenzo, et al.
Published: (2025)
by: Basile, Lorenzo, et al.
Published: (2025)
Emergent representations in networks trained with the Forward-Forward algorithm
by: Tosato, Niccolò, et al.
Published: (2023)
by: Tosato, Niccolò, et al.
Published: (2023)
Zero-shot generation of synthetic neurosurgical data with large language models
by: Barr, Austin A., et al.
Published: (2025)
by: Barr, Austin A., et al.
Published: (2025)
Deep literature reviews: an application of fine-tuned language models to migration research
by: Iacus, Stefano M., et al.
Published: (2025)
by: Iacus, Stefano M., et al.
Published: (2025)
A comparative study of zero-shot inference with large language models and supervised modeling in breast cancer pathology classification
by: Sushil, Madhumita, et al.
Published: (2024)
by: Sushil, Madhumita, et al.
Published: (2024)
Learning diverse attacks on large language models for robust red-teaming and safety tuning
by: Lee, Seanie, et al.
Published: (2024)
by: Lee, Seanie, et al.
Published: (2024)
Complexity-aware fine-tuning
by: Goncharov, Andrey, et al.
Published: (2025)
by: Goncharov, Andrey, et al.
Published: (2025)
Large language models reorganize representational geometry during in-context learning
by: Xiong, Hua-Dong, et al.
Published: (2026)
by: Xiong, Hua-Dong, et al.
Published: (2026)
How does fine-tuning improve sensorimotor representations in large language models?
by: Wu, Minghua, et al.
Published: (2026)
by: Wu, Minghua, et al.
Published: (2026)
Zero-shot data citation function classification using transformer-based large language models (LLMs)
by: Byers, Neil, et al.
Published: (2025)
by: Byers, Neil, et al.
Published: (2025)
Perturbation: A simple and efficient adversarial tracer for representation learning in language models
by: Rozner, Joshua, et al.
Published: (2026)
by: Rozner, Joshua, et al.
Published: (2026)
Amortizing intractable inference in large language models
by: Hu, Edward J., et al.
Published: (2023)
by: Hu, Edward J., et al.
Published: (2023)
Blending adversarial training and representation-conditional purification via aggregation improves adversarial robustness
by: Ballarin, Emanuele, et al.
Published: (2023)
by: Ballarin, Emanuele, et al.
Published: (2023)
Representation in large language models
by: Yetman, Cameron
Published: (2025)
by: Yetman, Cameron
Published: (2025)
Replaying pre-training data improves fine-tuning
by: Kotha, Suhas, et al.
Published: (2026)
by: Kotha, Suhas, et al.
Published: (2026)
Rethinking harmless refusals when fine-tuning foundation models
by: Pop, Florin, et al.
Published: (2024)
by: Pop, Florin, et al.
Published: (2024)
Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals
by: Ortu, Francesco, et al.
Published: (2024)
by: Ortu, Francesco, et al.
Published: (2024)
Prompt reinforcing for long-term planning of large language models
by: Lin, Hsien-Chin, et al.
Published: (2025)
by: Lin, Hsien-Chin, et al.
Published: (2025)
AI-AI Bias: large language models favor communications generated by large language models
by: Laurito, Walter, et al.
Published: (2024)
by: Laurito, Walter, et al.
Published: (2024)
Watch the Weights: Unsupervised monitoring and control of fine-tuned LLMs
by: Zhong, Ziqian, et al.
Published: (2025)
by: Zhong, Ziqian, et al.
Published: (2025)
Alignment faking in large language models
by: Greenblatt, Ryan, et al.
Published: (2024)
by: Greenblatt, Ryan, et al.
Published: (2024)
Evaluating the fairness of task-adaptive pretraining on unlabeled test data before few-shot text classification
by: Dubey, Kush
Published: (2024)
by: Dubey, Kush
Published: (2024)
The Geometry of Tokens in Internal Representations of Large Language Models
by: Viswanathan, Karthik, et al.
Published: (2025)
by: Viswanathan, Karthik, et al.
Published: (2025)
Linear representations in language models can change dramatically over a conversation
by: Lampinen, Andrew Kyle, et al.
Published: (2026)
by: Lampinen, Andrew Kyle, et al.
Published: (2026)
An unsupervised tour through the hidden pathways of deep neural networks
by: Doimo, Diego
Published: (2025)
by: Doimo, Diego
Published: (2025)
Only relative ranks matter in weight-clustered large language models
by: Aizpurua, Borja, et al.
Published: (2026)
by: Aizpurua, Borja, et al.
Published: (2026)
You can remove GPT2's LayerNorm by fine-tuning
by: Heimersheim, Stefan
Published: (2024)
by: Heimersheim, Stefan
Published: (2024)
LayerNorm: A key component in parameter-efficient fine-tuning
by: ValizadehAslani, Taha, et al.
Published: (2024)
by: ValizadehAslani, Taha, et al.
Published: (2024)
Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing
by: Rubio-Martín, Sergio, et al.
Published: (2024)
by: Rubio-Martín, Sergio, et al.
Published: (2024)
Do different prompting methods yield a common task representation in language models?
by: Davidson, Guy, et al.
Published: (2025)
by: Davidson, Guy, et al.
Published: (2025)
RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models
by: Najafi, Saeed, et al.
Published: (2024)
by: Najafi, Saeed, et al.
Published: (2024)
Long-form factuality in large language models
by: Wei, Jerry, et al.
Published: (2024)
by: Wei, Jerry, et al.
Published: (2024)
Can large language models explore in-context?
by: Krishnamurthy, Akshay, et al.
Published: (2024)
by: Krishnamurthy, Akshay, et al.
Published: (2024)
Quantifying perturbation impacts for large language models
by: Rauba, Paulius, et al.
Published: (2024)
by: Rauba, Paulius, et al.
Published: (2024)
Question answering system of bridge design specification based on large language model
by: Zhang, Leye, et al.
Published: (2024)
by: Zhang, Leye, et al.
Published: (2024)
B-score: Detecting biases in large language models using response history
by: Vo, An, et al.
Published: (2025)
by: Vo, An, et al.
Published: (2025)
Leveraging large language models for structured information extraction from pathology reports
by: Balasubramanian, Jeya Balaji, et al.
Published: (2025)
by: Balasubramanian, Jeya Balaji, et al.
Published: (2025)
ECG-LLM -- training and evaluation of domain-specific large language models for electrocardiography
by: Ahrens, Lara, et al.
Published: (2025)
by: Ahrens, Lara, et al.
Published: (2025)
Similar Items
-
The Narrow Gate: Localized Image-Text Communication in Native Multimodal Models
by: Serra, Alessandro Pietro, et al.
Published: (2024) -
Persistent Topological Features in Large Language Models
by: Gardinazzi, Yuri, et al.
Published: (2024) -
Head Pursuit: Probing Attention Specialization in Multimodal Transformers
by: Basile, Lorenzo, et al.
Published: (2025) -
Emergent representations in networks trained with the Forward-Forward algorithm
by: Tosato, Niccolò, et al.
Published: (2023) -
Zero-shot generation of synthetic neurosurgical data with large language models
by: Barr, Austin A., et al.
Published: (2025)