GitHub repository for DORA: Data-agnOstic Representation Analysis paper. DORA allows to find outlier representations in Deep Neural Networks.
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Apr 23, 2026 - Python
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representation-analysis
Here are 5 public repositories matching this topic...
Interpretability study of LoRA fine-tuning in LLMs: where LoRA puts its capacity (per-module update norm + effective rank) and how much it shifts representations (layer-wise drift), with rank/module ablations. Qwen2.5-1.5B, paper + code.
pytorch lora interpretability fine-tuning peft representation-analysis llm mechanistic-interpretability
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Jun 20, 2026 - Jupyter Notebook
Attribution-based analysis of French grammatical gender encoding in FlauBERT embeddings using SHAP, LIME, Random Forest, and cross-validation methods across multiple architectures
natural-language-processing word-embeddings bert flaubert explainable-ai gender-bias idmc model-interpretability french-language feature-attribution universite-de-lorraine attribution-methods representation-analysis
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Jan 11, 2026 - Jupyter Notebook
Code and artifacts for "The Cost of Language: Centroid Erasure Exposes and Exploits Modal Competition in Multimodal Language Models" (COLM 2026). Centroid replacement, a training-free probe for text-vs-visual dependence in multimodal LMs, and text centroid contrastive decoding (TCCD) are included.
interpretability multimodal representation-analysis llm mllm multimodal-large-language-models vision-language-models contrastive-decoding colm2026 modality-measurement
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Jul 28, 2026 - Python
Applied research in representation and decision behavior
dynamical-systems complex-systems sensitivity-analysis structural-analysis autonomous-systems regime-shifts applied-research representation-analysis interdisciplinary-research information-coherence decision-behavior
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Jul 25, 2026
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