Cover Image

Emergence of Hierarchical Emotion Organization in Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Bo, Okawa, Maya, Bigelow, Eric J., Yu, Rose, Ullman, Tomer, Lubana, Ekdeep Singh, Tanaka, Hidenori
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

In-Context Learning Dynamics with Random Binary Sequences
by: Bigelow, Eric J., et al.
Published: (2023)

Belief Dynamics Reveal the Dual Nature of In-Context Learning and Activation Steering
by: Bigelow, Eric, et al.
Published: (2025)

Forking Paths in Neural Text Generation
by: Bigelow, Eric, et al.
Published: (2024)

Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space
by: Park, Core Francisco, et al.
Published: (2024)

Are language models aware of the road not taken? Token-level uncertainty and hidden state dynamics
by: Zur, Amir, et al.
Published: (2025)

A Percolation Model of Emergence: Analyzing Transformers Trained on a Formal Language
by: Lubana, Ekdeep Singh, et al.
Published: (2024)

ICLR: In-Context Learning of Representations
by: Park, Core Francisco, et al.
Published: (2024)

Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model
by: Khona, Mikail, et al.
Published: (2024)

How Do LLMs Persuade? Linear Probes Can Uncover Persuasion Dynamics in Multi-Turn Conversations
by: Jaipersaud, Brandon, et al.
Published: (2025)

Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task
by: Okawa, Maya, et al.
Published: (2023)

Towards Reliable Evaluation of Behavior Steering Interventions in LLMs
by: Pres, Itamar, et al.
Published: (2024)

Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space
by: Bigelow, Eric, et al.
Published: (2026)

Chain of Time: In-Context Physical Simulation with Image Generation Models
by: Wang, YingQiao, et al.
Published: (2025)

Competition Dynamics Shape Algorithmic Phases of In-Context Learning
by: Park, Core Francisco, et al.
Published: (2024)

Re-evaluating Theory of Mind evaluation in large language models
by: Hu, Jennifer, et al.
Published: (2025)

From Isolation to Entanglement: When Do Interpretability Methods Identify and Disentangle Known Concepts?
by: Mueller, Aaron, et al.
Published: (2025)

In-Context Learning Strategies Emerge Rationally
by: Wurgaft, Daniel, et al.
Published: (2025)

Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing
by: Nishi, Kento, et al.
Published: (2024)

Swing-by Dynamics in Concept Learning and Compositional Generalization
by: Yang, Yongyi, et al.
Published: (2024)

Uncovering Conceptual Blindspots in Generative Image Models Using Sparse Autoencoders
by: Bohacek, Matyas, et al.
Published: (2025)

SeaAlert: Critical Information Extraction From Maritime Distress Communications with Large Language Models
by: Atia, Tomer, et al.
Published: (2026)

The Shape of Beliefs: Geometry, Dynamics, and Interventions along Representation Manifolds of Language Models' Posteriors
by: Sarfati, Raphaël, et al.
Published: (2026)

The Emergence of Abstract Thought in Large Language Models Beyond Any Language
by: Chen, Yuxin, et al.
Published: (2025)

Cognitive models can reveal interpretable value trade-offs in language models
by: Murthy, Sonia K., et al.
Published: (2025)

Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry
by: Hindupur, Sai Sumedh R., et al.
Published: (2025)

EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models
by: Chen, Yuyan, et al.
Published: (2024)

The Illusion-Illusion: Vision Language Models See Illusions Where There are None
by: Ullman, Tomer
Published: (2024)

Emotion Transcription in Conversation: A Benchmark for Capturing Subtle and Complex Emotional States through Natural Language
by: Tanaka, Yoshiki, et al.
Published: (2026)

EmoLLM: Appraisal-Grounded Cognitive-Emotional Co-Reasoning in Large Language Models
by: Zhang, Yifei, et al.
Published: (2026)

Mechanistic Interpretability of Emotion Inference in Large Language Models
by: Tak, Ala N., et al.
Published: (2025)

Emotion Concepts and their Function in a Large Language Model
by: Sofroniew, Nicholas, et al.
Published: (2026)

Recent Advancement of Emotion Cognition in Large Language Models
by: Chen, Yuyan, et al.
Published: (2024)

Hierarchical Memory Organization for Wikipedia Generation
by: Yu, Eugene J., et al.
Published: (2025)

Enhancing Emotional Generation Capability of Large Language Models via Emotional Chain-of-Thought
by: Li, Zaijing, et al.
Published: (2024)

Large Language Model Sentinel: LLM Agent for Adversarial Purification
by: Lin, Guang, et al.
Published: (2024)

Concise and Organized Perception Facilitates Reasoning in Large Language Models
by: Liu, Junjie, et al.
Published: (2023)

EmoBench-M: Benchmarking Emotional Intelligence for Multimodal Large Language Models
by: Hu, He, et al.
Published: (2025)

Emotions Where Art Thou: Understanding and Characterizing the Emotional Latent Space of Large Language Models
by: Reichman, Benjamin, et al.
Published: (2025)

EmoBench: Evaluating the Emotional Intelligence of Large Language Models
by: Sabour, Sahand, et al.
Published: (2024)

When Emotion Becomes Trigger: Emotion-style dynamic Backdoor Attack Parasitising Large Language Models
by: Liu, Ziyu, et al.
Published: (2026)