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References (43)

[1]
Training Feature Attribution for Vision Models
2025Aziz Bacha, Thomas George
[2]
Persona Vectors: Monitoring and Controlling Character Traits in Language Models
2025Runjin Chen, Andy Arditi et al.
[3]
A Survey on Interpretability in Visual Recognition
2025Qiyang Wan, Chengzhi Gao et al.
[4]
Model Organisms for Emergent Misalignment
2025Edward Turner, Anna Soligo et al.
[5]
Convergent Linear Representations of Emergent Misalignment
2025Anna Soligo, Edward Turner et al.
[6]
Qwen3 Technical Report
2025An Yang, Anfeng Li et al.
[7]
Gemma 3 Technical Report
2025Gemma Team Aishwarya Kamath, Johan Ferret et al.
[8]
Position: Curvature Matrices Should Be Democratized via Linear Operators
2025Felix Dangel, Runa Eschenhagen et al.
[9]
Do Influence Functions Work on Large Language Models?
2024Zhe Li, Wei Zhao et al.
[10]
The Llama 3 Herd of Models
2024Abhimanyu Dubey, Abhinav Jauhri et al.
[11]
Evaluating Saliency Explanations in NLP by Crowdsourcing
2024Xiaotian Lu, Jiyi Li et al.
[12]
Visual Concept Connectome (VCC): Open World Concept Discovery and Their Interlayer Connections in Deep Models
2024M. Kowal, Richard P. Wildes et al.
[13]
LESS: Selecting Influential Data for Targeted Instruction Tuning
2024Mengzhou Xia, Sadhika Malladi et al.
[14]
MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models
2024Wai-Chung Kwan, Xingshan Zeng et al.
[15]
Understanding Video Transformers via Universal Concept Discovery
2024M. Kowal, Achal Dave et al.
[16]
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
2024Evan Hubinger, Carson E. Denison et al.
[17]
Studying Large Language Model Generalization with Influence Functions
2023R. Grosse, Juhan Bae et al.
[18]
TinyStories: How Small Can Language Models Be and Still Speak Coherent English?
2023Ronen Eldan, Yuan-Fang Li
[19]
OpenAssistant Conversations - Democratizing Large Language Model Alignment
2023Andreas Kopf, Yannic Kilcher et al.
[20]
Training data influence analysis and estimation: a survey
2022Zayd Hammoudeh, Daniel Lowd

Showing 20 of 43 references

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