:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tanaka, Kaito, Tan, Benjamin, Wong, Brian
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2408.06874
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers
by: Wong, Brian, et al.
Published: (2025)

Optimizing Vision-Language Interactions Through Decoder-Only Models
by: Tanaka, Kaito, et al.
Published: (2024)

AE-LLM: Adaptive Efficiency Optimization for Large Language Models
by: Tanaka, Kaito, et al.
Published: (2026)

Semantic-Preserving Cross-Style Visual Reasoning for Robust Multi-Modal Understanding in Large Vision-Language Models
by: Nakayama, Aya, et al.
Published: (2025)

LongEmotion: Measuring Emotional Intelligence of Large Language Models in Long-Context Interaction
by: Liu, Weichu, et al.
Published: (2025)

Towards Emotion Consistency Analysis of Large Language Models in Emotional Conversational Contexts
by: Oram, Sneha, et al.
Published: (2026)

AER-LLM: Ambiguity-aware Emotion Recognition Leveraging Large Language Models
by: Hong, Xin, et al.
Published: (2024)

Recognizing Emotion Regulation Strategies from Human Behavior with Large Language Models
by: Müller, Philipp, et al.
Published: (2024)

NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli
by: Wang, Xu, et al.
Published: (2024)

Detecting Emotional Dynamic Trajectories: An Evaluation Framework for Emotional Support in Language Models
by: Tan, Zhouxing, et al.
Published: (2025)

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

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

Leveraging Large Language Model as Simulated Patients for Clinical Education
by: Li, Yanzeng, et al.
Published: (2024)

Leveraging Large Language Models for Predictive Analysis of Human Misery
by: Seal, Bishanka, et al.
Published: (2025)

UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models
by: Xue, Boyang, et al.
Published: (2024)

Emergence of Hierarchical Emotion Organization in Large Language Models
by: Zhao, Bo, et al.
Published: (2025)

REDAffectiveLM: Leveraging Affect Enriched Embedding and Transformer-based Neural Language Model for Readers' Emotion Detection
by: Kadan, Anoop, et al.
Published: (2023)

Leveraging Language Models and Machine Learning in Verbal Autopsy Analysis
by: Chu, Yue
Published: (2025)

Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for Language Model Alignment
by: Jinnai, Yuu, et al.
Published: (2024)

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

Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education
by: Yang, Rui, et al.
Published: (2024)

Bridging the Evaluation Gap: Leveraging Large Language Models for Topic Model Evaluation
by: Tan, Zhiyin, et al.
Published: (2025)

IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators
by: Lin, Luyang, et al.
Published: (2024)

Behavioral Analysis of Information Salience in Large Language Models
by: Trienes, Jan, et al.
Published: (2025)

Unrequited Emotions: Investigating the Gaps in Motivation and Practice in Speech Emotion Recognition Research
by: Wong, Taryn, et al.
Published: (2026)

From Emotion Classification to Emotional Reasoning: Enhancing Emotional Intelligence in Large Language Models
by: Sreedar, Arjhun, et al.
Published: (2026)

Evaluation of Best-of-N Sampling Strategies for Language Model Alignment
by: Ichihara, Yuki, et al.
Published: (2025)

MEGnifying Emotion: Sentiment Analysis from Annotated Brain Data
by: Liu, Brian, et al.
Published: (2026)

Chain-of-Interaction: Enhancing Large Language Models for Psychiatric Behavior Understanding by Dyadic Contexts
by: Han, Guangzeng, et al.
Published: (2024)

Leveraging Large Language Models for Code-Mixed Data Augmentation in Sentiment Analysis
by: Zeng, Linda
Published: (2024)

In-Distribution Steering: Balancing Control and Coherence in Language Model Generation
by: Vogels, Arthur, et al.
Published: (2025)

Representational Analysis of Binding in Language Models
by: Dai, Qin, et al.
Published: (2024)

Analyzing Language Bias Between French and English in Conventional Multilingual Sentiment Analysis Models
by: Wong, Ethan Parker, et al.
Published: (2024)

Language Model Behavioral Phases are Consistent Across Architecture, Training Data, and Scale
by: Michaelov, James A., et al.
Published: (2025)

Improving Language Models for Emotion Analysis: Insights from Cognitive Science
by: Bonard, Constant, et al.
Published: (2024)

Language Models (Mostly) Do Not Consider Emotion Triggers When Predicting Emotion
by: Singh, Smriti, et al.
Published: (2023)

Empowering Dysarthric Speech: Leveraging Advanced LLMs for Accurate Speech Correction and Multimodal Emotion Analysis
by: Attaluri, Kaushal, et al.
Published: (2024)

Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding
by: Jinnai, Yuu, et al.
Published: (2024)

The Emotional Spectrum of LLMs: Leveraging Empathy and Emotion-Based Markers for Mental Health Support
by: De Grandi, Alessandro, et al.
Published: (2024)

Can Generative Agents Predict Emotion?
by: Regan, Ciaran, et al.
Published: (2024)