Cover Image

Improving Language Models for Emotion Analysis: Insights from Cognitive Science

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bonard, Constant, Cortal, Gustave
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sequence-to-Sequence Language Models for Character and Emotion Detection in Dream Narratives
by: Cortal, Gustave
Published: (2024)

Formalizing Style in Personal Narratives
by: Cortal, Gustave, et al.
Published: (2025)

Can AI and humans genuinely communicate?
by: Bonard, Constant
Published: (2024)

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

Addressing Longstanding Challenges in Cognitive Science with Language Models
by: Wulff, Dirk U., et al.
Published: (2025)

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

Improving Social Determinants of Health Documentation in French EHRs Using Large Language Models
by: Bazoge, Adrien, et al.
Published: (2025)

Large Language Models and Cognitive Science: A Comprehensive Review of Similarities, Differences, and Challenges
by: Niu, Qian, et al.
Published: (2024)

Mind2: Mind-to-Mind Emotional Support System with Bidirectional Cognitive Discourse Analysis
by: Hong, Shi Yin, et al.
Published: (2025)

How to Retrieve Examples in In-context Learning to Improve Conversational Emotion Recognition using Large Language Models?
by: Wang, Mengqi, et al.
Published: (2025)

EERPD: Leveraging Emotion and Emotion Regulation for Improving Personality Detection
by: Li, Zheng, et al.
Published: (2024)

Evaluating Neural Language Models as Cognitive Models of Language Acquisition
by: Martínez, Héctor Javier Vázquez, et al.
Published: (2023)

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

Cognitive Effects in Large Language Models
by: Shaki, Jonathan, et al.
Published: (2023)

Cognitive Memory in Large Language Models
by: Shan, Lianlei, et al.
Published: (2025)

Meta-Cognitive Analysis: Evaluating Declarative and Procedural Knowledge in Datasets and Large Language Models
by: Li, Zhuoqun, et al.
Published: (2024)

CARE: Cognitive-reasoning Augmented Reinforcement for Emotional Support Conversation
by: Zhu, Jie, 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)

Fluent but Unfeeling: The Emotional Blind Spots of Language Models
by: Shu, Bangzhao, et al.
Published: (2025)

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

Affective Flow Language Model for Emotional Support Conversation
by: Zou, Chenghui, et al.
Published: (2026)

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

Do Large Language Models Mirror Cognitive Language Processing?
by: Ren, Yuqi, et al.
Published: (2024)

Eliciting Reasoning in Language Models with Cognitive Tools
by: Ebouky, Brown, et al.
Published: (2025)

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

MEMO-Bench: A Multiple Benchmark for Text-to-Image and Multimodal Large Language Models on Human Emotion Analysis
by: Zhou, Yingjie, et al.
Published: (2024)

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

Understanding Emotion in Discourse: Recognition Insights and Linguistic Patterns for Generation
by: Jeong, Cheonkam, et al.
Published: (2026)

Benchmarking Cognitive Domains for LLMs: Insights from Taiwanese Hakka Culture
by: Chang, Chen-Chi, et al.
Published: (2024)

Bootstrapping Cognitive Agents with a Large Language Model
by: Zhu, Feiyu, et al.
Published: (2024)

Self-Cognition in Large Language Models: An Exploratory Study
by: Chen, Dongping, et al.
Published: (2024)

Cognitive BASIC: An In-Model Interpreted Reasoning Language for LLMs
by: Kramer, Oliver
Published: (2025)

Mechanistic Decoding of Cognitive Constructs in Large Language Models
by: Shou, Yitong, et al.
Published: (2026)

A Unified Framework for Emotion Recognition and Sentiment Analysis via Expert-Guided Multimodal Fusion with Large Language Models
by: Qiao, Jiaqi, et al.
Published: (2026)

Semantic Differentiation in Speech Emotion Recognition: Insights from Descriptive and Expressive Speech Roles
by: Guo, Rongchen, et al.
Published: (2025)

CogniDual Framework: Self-Training Large Language Models within a Dual-System Theoretical Framework for Improving Cognitive Tasks
by: Deng, Yongxin, et al.
Published: (2024)

A Multi-faceted Analysis of Cognitive Abilities: Evaluating Prompt Methods with Large Language Models on the CONSORT Checklist
by: Jeon, Sohyeon, et al.
Published: (2025)

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

H2HTalk: Evaluating Large Language Models as Emotional Companion
by: Wang, Boyang, et al.
Published: (2025)

Sentiment Analysis and Emotion Classification using Machine Learning Techniques for Nagamese Language -- A Low-resource Language
by: Morang, Ekha, et al.
Published: (2025)