Imagen de Portada

AIPsy-Affect: A Keyword-Free Clinical Stimulus Battery for Mechanistic Interpretability of Emotion in Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Keeman, Michael
Formato:	Preprint
Publicado:	2026
Materias:	Computation and Language Artificial Intelligence 68T50, 68T07 I.2.7; I.2.6
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

CLMN: Concept based Language Models via Neural Symbolic Reasoning
por: Yang, Yibo
Publicado: (2025)

Product-of-Experts Training Reduces Dataset Artifacts in Natural Language Inference
por: Mathew, Aby Mammen
Publicado: (2026)

Mechanistic Analysis of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
por: Imanov, Olaf Yunus Laitinen
Publicado: (2026)

NOTAI.AI: Explainable Detection of Machine-Generated Text via Curvature and Feature Attribution
por: Breneur, Oleksandr Marchenko, et al.
Publicado: (2026)

Rethinking the Multilingual Reasoning Gap with Layer Swap
por: Lasbordes, Maxence, et al.
Publicado: (2026)

Causally Grounded Mechanistic Interpretability for LLMs with Faithful Natural-Language Explanations
por: Mahale, Ajay Pravin
Publicado: (2026)

Harnessing non-adversarial robustness in large language models
por: Zhou, Qinghua, et al.
Publicado: (2026)

How Pruning Reshapes Features: Sparse Autoencoder Analysis of Weight-Pruned Language Models
por: Borobia, Hector, et al.
Publicado: (2026)

ProbeScale: Probing Analysis to Optimize Neural Scaling Laws for Efficient Small Language Model Inference
por: Das, Sourav
Publicado: (2026)

When Does Content-Based Routing Work? Representation Requirements for Selective Attention in Hybrid Sequence Models
por: Basu, Abhinaba
Publicado: (2026)

Whether, Not Which: Mechanistic Interpretability Reveals Dissociable Affect Reception and Emotion Categorization in LLMs
por: Keeman, Michael
Publicado: (2026)

Strategic Doctrine Language Models (sdLM): A Learning-System Framework for Doctrinal Consistency and Geopolitical Forecasting
por: Imanov, Olaf Yunus Laitinen, et al.
Publicado: (2026)

Latent Object Permanence: Topological Phase Transitions, Free-Energy Principles, and Renormalization Group Flows in Deep Transformer Manifolds
por: Alpay, Faruk, et al.
Publicado: (2026)

Do Reasoning Models Enhance Embedding Models?
por: Chan, Wun Yu, et al.
Publicado: (2026)

mHC-SSM: Manifold-Constrained Hyper-Connections for State Space Language Models with Stream-Specialized Adapters
por: Mutlu, Abdulvahap, et al.
Publicado: (2026)

Unpacking Hateful Memes: Presupposed Context and False Claims
por: Cai, Weibin, et al.
Publicado: (2025)

The Concept Allocation Zone: Tracking How Concepts Form Across Transformer Depth
por: Henry, James
Publicado: (2026)

Unsolvability Ceiling in Multi-LLM Routing: An Empirical Study of Evaluation Artifacts
por: Garg, Saloni, et al.
Publicado: (2026)

ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
por: Chen, Yihong, et al.
Publicado: (2022)

Inference acceleration for large language models using "stairs" assisted greedy generation
por: Grigaliūnas, Domas, et al.
Publicado: (2024)

Linguistic Collapse: Neural Collapse in (Large) Language Models
por: Wu, Robert, et al.
Publicado: (2024)

SafeAnchor: Preventing Cumulative Safety Erosion in Continual Domain Adaptation of Large Language Models
por: Guo, Dongxin, et al.
Publicado: (2026)

ProactBench: Beyond What The User Asked For
por: Harfi, Sepehr, et al.
Publicado: (2026)

Continuous Latent Diffusion Language Model
por: Guo, Hongcan, et al.
Publicado: (2026)

DRO-InstructZero: Distributionally Robust Prompt Optimization for Large Language Models
por: Li, Yangyang
Publicado: (2025)

Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models
por: Fu, Tianyu, et al.
Publicado: (2025)

Sentiment Analysis of Lithuanian Online Reviews Using Large Language Models
por: Vileikytė, Brigita, et al.
Publicado: (2024)

No Memorization, No Detection: Output Distribution-Based Contamination Detection in Small Language Models
por: Sela, Omer
Publicado: (2026)

Fine-tuning of Large Language Models for Constituency Parsing Using a Sequence to Sequence Approach
por: Delgado, Francisco Jose Cortes, et al.
Publicado: (2025)

How Human-Like Are Large Language Models? A Register-Aware Linguistic Evaluation Framework
por: Nieth, Björn, et al.
Publicado: (2026)

Causal Dimensionality of Transformer Representations: Measurement, Scaling, and Layer Structure
por: Sarkar, Nilesh, et al.
Publicado: (2026)

HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning
por: Hill, Brennen
Publicado: (2025)

Multi-Model Synthetic Training for Mission-Critical Small Language Models
por: Platt, Nolan, et al.
Publicado: (2025)

NeuronSpark: A Spiking Neural Network Language Model with Selective State Space Dynamics
por: Tang, Zhengzheng
Publicado: (2026)

Enhancing Ultra-Low-Bit Quantization of Large Language Models Through Saliency-Aware Partial Retraining
por: Cao, Deyu, et al.
Publicado: (2025)

Towards Ontology-Enhanced Representation Learning for Large Language Models
por: Ronzano, Francesco, et al.
Publicado: (2024)

Sliced-Wasserstein Distribution Alignment Loss Improves the Ultra-Low-Bit Quantization of Large Language Models
por: Cao, Deyu, et al.
Publicado: (2026)

Vis-CoT: A Human-in-the-Loop Framework for Interactive Visualization and Intervention in LLM Chain-of-Thought Reasoning
por: Pather, Kaviraj, et al.
Publicado: (2025)

Extracting Sentence Embeddings from Pretrained Transformer Models
por: Stankevičius, Lukas, et al.
Publicado: (2024)

Research on a hybrid LSTM-CNN-Attention model for text-based web content classification
por: Kuz, Mykola, et al.
Publicado: (2025)