layer-wise analysis

A Layer-wise Analysis of Supervised Fine-Tuning ACL 2026 Exploring Concreteness Through a Figurative Lens ACL 2026 When Do Models Actually Decide? Mapping the Layer-Wise Decision Timeline in Pretrained Neural Networks CVPR 2026 Where Do LLMs Compose Meaning? A Layerwise Analysis of Compositional Robustness EACL 2026 Addition in Four Movements: Mapping Layer-wise Information Trajectories in LLMs EMNLP 2025 Attention Speaks Volumes: Localizing and Mitigating Bias in Language Models ACL 2025 Comprehensive Information Bottleneck for Unveiling Universal Attribution to Interpret Vision Transformers CVPR 2025 Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models CoNLL 2025 Detecting Hallucination in Large Language Models Through Deep Internal Representation Analysis IJCAI 2025 Detecting LLM Hallucination Through Layer-wise Information Deficiency: Analysis of Ambiguous Prompts and Unanswerable Questions EMNLP 2025 Layer-Aware Task Arithmetic: Disentangling Task-Specific and Instruction-Following Knowledge EMNLP 2025 LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing ACL 2025 Massive Supervised Fine-tuning Experiments Reveal How Data, Layer, and Training Factors Shape LLM Alignment Quality EMNLP 2025 Probing LLMs for Multilingual Discourse Generalization Through a Unified Label Set ACL 2025 Textural or Textual: How Vision-Language Models Read Text in Images ICML 2025 TinySQL: A Progressive Text-to-SQL Dataset for Mechanistic Interpretability Research EMNLP 2025 Uncertainty Unveiled: Can Exposure to More In-context Examples Mitigate Uncertainty for Large Language Models? ACL 2025 To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of Point Cloud Transfer Learning ECCV 2024 Where does In-context Learning Happen in Large Language Models? NeurIPS 2024 Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training NeurIPS 2023 Are All Layers Created Equal? JMLR 2022 GlobEnc: Quantifying Global Token Attribution by Incorporating the Whole Encoder Layer in Transformers NAACL 2022 Pretrained Language Model in Continual Learning: A Comparative Study ICLR 2022 Spectral Probing EMNLP 2022 Understanding Stochastic Optimization Behavior at the Layer Update Level (Student Abstract) AAAI 2022