Bayesian Spectral Emotion Transition Discovery from Multi-Annotator Disagreement
Fuente:
arXiv
Guardado en:
| Autores principales: | Inoshita, Keito, Ueno, Takato |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Uncertainty Decomposition via Cyclical SG-MCMC and Soft-label Learning for Subjective NLP
por: Inoshita, Keito, et al.
Publicado: (2026)
por: Inoshita, Keito, et al.
Publicado: (2026)
Multi-Agent Large Language Model Based Emotional Detoxification Through Personalized Intensity Control for Consumer Protection
por: Inoshita, Keito
Publicado: (2026)
por: Inoshita, Keito
Publicado: (2026)
A Multi-Agent Probabilistic Inference Framework Inspired by Kairanban-Style CoT System with IdoBata Conversation for Debiasing
por: Ueno, Takato, et al.
Publicado: (2025)
por: Ueno, Takato, et al.
Publicado: (2025)
Persona-Based Synthetic Data Generation Using Multi-Stage Conditioning with Large Language Models for Emotion Recognition
por: Inoshita, Keito, et al.
Publicado: (2025)
por: Inoshita, Keito, et al.
Publicado: (2025)
Cognitive-Causal Multi-Task Learning with Psychological State Conditioning for Assistive Driving Perception
por: Inoshita, Keito, et al.
Publicado: (2026)
por: Inoshita, Keito, et al.
Publicado: (2026)
Multi-Stage Evolutionary Model Merging with Meta Data Driven Curriculum Learning for Sentiment-Specialized Large Language Modeling
por: Inoshita, Keito, et al.
Publicado: (2026)
por: Inoshita, Keito, et al.
Publicado: (2026)
Role-Playing LLM-Based Multi-Agent Support Framework for Detecting and Addressing Family Communication Bias
por: Harada, Rushia, et al.
Publicado: (2025)
por: Harada, Rushia, et al.
Publicado: (2025)
Does AI Homogenize Student Thinking? A Multi-Dimensional Analysis of Structural Convergence in AI-Augmented Essays
por: Inoshita, Keito, et al.
Publicado: (2026)
por: Inoshita, Keito, et al.
Publicado: (2026)
Evaluation of the Automated Labeling Method for Taxonomic Nomenclature Through Prompt-Optimized Large Language Model
por: Inoshita, Keito, et al.
Publicado: (2025)
por: Inoshita, Keito, et al.
Publicado: (2025)
Nationality and Region Prediction from Names: A Comparative Study of Neural Models and Large Language Models
por: Inoshita, Keito
Publicado: (2026)
por: Inoshita, Keito
Publicado: (2026)
Who Does This Name Remind You of ? Nationality Prediction via Large Language Model Associative Memory
por: Inoshita, Keito
Publicado: (2026)
por: Inoshita, Keito
Publicado: (2026)
C-DIRA: Computationally Efficient Dynamic ROI Routing and Domain-Invariant Adversarial Learning for Lightweight Driver Behavior Recognition
por: Inoshita, Keito
Publicado: (2025)
por: Inoshita, Keito
Publicado: (2025)
When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks
por: Fleisig, Eve, et al.
Publicado: (2023)
por: Fleisig, Eve, et al.
Publicado: (2023)
Mikasa: A Character-Driven Emotional AI Companion Inspired by Japanese Oshi Culture
por: Ueno, Miki
Publicado: (2026)
por: Ueno, Miki
Publicado: (2026)
Can Reasoning Help Large Language Models Capture Human Annotator Disagreement?
por: Ni, Jingwei, et al.
Publicado: (2025)
por: Ni, Jingwei, et al.
Publicado: (2025)
Dealing with Annotator Disagreement in Hate Speech Classification
por: Dehghan, Somaiyeh, et al.
Publicado: (2025)
por: Dehghan, Somaiyeh, et al.
Publicado: (2025)
Is LLM an Overconfident Judge? Unveiling the Capabilities of LLMs in Detecting Offensive Language with Annotation Disagreement
por: Lu, Junyu, et al.
Publicado: (2025)
por: Lu, Junyu, et al.
Publicado: (2025)
World model inspired sarcasm reasoning with large language model agents
por: Inoshita, Keito, et al.
Publicado: (2025)
por: Inoshita, Keito, et al.
Publicado: (2025)
Emotion Entanglement and Bayesian Inference for Multi-Dimensional Emotion Understanding
por: Kotaprolu, Hemanth, et al.
Publicado: (2026)
por: Kotaprolu, Hemanth, et al.
Publicado: (2026)
LLMs Capture Emotion Labels, Not Emotion Uncertainty: Distributional Analysis and Calibration of Human-LLM Judgment Gaps
por: Inoshita, Keito, et al.
Publicado: (2026)
por: Inoshita, Keito, et al.
Publicado: (2026)
Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification
por: Hamidieh, Kimia, et al.
Publicado: (2026)
por: Hamidieh, Kimia, et al.
Publicado: (2026)
Cross-Model Disagreement as a Label-Free Correctness Signal
por: Gorbett, Matt, et al.
Publicado: (2026)
por: Gorbett, Matt, et al.
Publicado: (2026)
Subgoal-based Reward Shaping to Improve Efficiency in Reinforcement Learning
por: Okudo, Takato, et al.
Publicado: (2021)
por: Okudo, Takato, et al.
Publicado: (2021)
BoN Appetit Team at LeWiDi-2025: Best-of-N Test-time Scaling Can Not Stomach Annotation Disagreements (Yet)
por: Ruiz, Tomas, et al.
Publicado: (2025)
por: Ruiz, Tomas, et al.
Publicado: (2025)
ACE and Diverse Generalization via Selective Disagreement
por: Daniels, Oliver, et al.
Publicado: (2025)
por: Daniels, Oliver, et al.
Publicado: (2025)
Mitigating Spurious Correlations via Disagreement Probability
por: Han, Hyeonggeun, et al.
Publicado: (2024)
por: Han, Hyeonggeun, et al.
Publicado: (2024)
DiZiNER: Disagreement-guided Instruction Refinement via Pilot Annotation Simulation for Zero-shot Named Entity Recognition
por: Kim, Siun, et al.
Publicado: (2026)
por: Kim, Siun, et al.
Publicado: (2026)
Disagreements in Reasoning: How a Model's Thinking Process Dictates Persuasion in Multi-Agent Systems
por: Zhao, Haodong, et al.
Publicado: (2025)
por: Zhao, Haodong, et al.
Publicado: (2025)
EmoMAS: Emotion-Aware Multi-Agent System for High-Stakes Edge-Deployable Negotiation with Bayesian Orchestration
por: Long, Yunbo, et al.
Publicado: (2026)
por: Long, Yunbo, et al.
Publicado: (2026)
STABLEVAL: Disagreement-Aware and Stable Evaluation of AI Systems
por: Bonagiri, Akash, et al.
Publicado: (2026)
por: Bonagiri, Akash, et al.
Publicado: (2026)
Worker Disagreement Reveals Sharp Directions in Local SGD
por: Dimlioglu, Tolga, et al.
Publicado: (2026)
por: Dimlioglu, Tolga, et al.
Publicado: (2026)
DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization
por: Sun, Xin, et al.
Publicado: (2024)
por: Sun, Xin, et al.
Publicado: (2024)
Insights on Disagreement Patterns in Multimodal Safety Perception across Diverse Rater Groups
por: Rastogi, Charvi, et al.
Publicado: (2024)
por: Rastogi, Charvi, et al.
Publicado: (2024)
"Let's Agree to Disagree": Investigating the Disagreement Problem in Explainable AI for Text Summarization
por: Aswani, Seema, et al.
Publicado: (2024)
por: Aswani, Seema, et al.
Publicado: (2024)
Do LLMs "Feel"? Emotion Circuits Discovery and Control
por: Wang, Chenxi, et al.
Publicado: (2025)
por: Wang, Chenxi, et al.
Publicado: (2025)
DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning
por: Sivakumaran, Nithin, et al.
Publicado: (2025)
por: Sivakumaran, Nithin, et al.
Publicado: (2025)
Preserving Disagreement: Architectural Heterogeneity and Coherence Validation in Multi-Agent Policy Simulation
por: Sela, Ariel
Publicado: (2026)
por: Sela, Ariel
Publicado: (2026)
When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling
por: Lin, Zhimin, et al.
Publicado: (2026)
por: Lin, Zhimin, et al.
Publicado: (2026)
Towards Transparent AI Grading: Semantic Entropy as a Signal for Human-AI Disagreement
por: Iyer, Karrtik, et al.
Publicado: (2025)
por: Iyer, Karrtik, et al.
Publicado: (2025)
DARC: Disagreement-Aware Alignment via Risk-Constrained Decoding
por: Zou, Mingxi, et al.
Publicado: (2026)
por: Zou, Mingxi, et al.
Publicado: (2026)
Ejemplares similares
-
Uncertainty Decomposition via Cyclical SG-MCMC and Soft-label Learning for Subjective NLP
por: Inoshita, Keito, et al.
Publicado: (2026) -
Multi-Agent Large Language Model Based Emotional Detoxification Through Personalized Intensity Control for Consumer Protection
por: Inoshita, Keito
Publicado: (2026) -
A Multi-Agent Probabilistic Inference Framework Inspired by Kairanban-Style CoT System with IdoBata Conversation for Debiasing
por: Ueno, Takato, et al.
Publicado: (2025) -
Persona-Based Synthetic Data Generation Using Multi-Stage Conditioning with Large Language Models for Emotion Recognition
por: Inoshita, Keito, et al.
Publicado: (2025) -
Cognitive-Causal Multi-Task Learning with Psychological State Conditioning for Assistive Driving Perception
por: Inoshita, Keito, et al.
Publicado: (2026)