Affective

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5 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

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Latest papers 32

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Decoding Affective Nuances: Enhancing MLLMs via Hierarchical Emotion Reasoning and Contrastive Discriminative Pruning
Sep 29, 2026Cheng Ye, Weidong Chen, Zhaobo Qi +2Multimodal Large Language Models Affective
University of Science and Technology of China, Hefei · Harbin Institute of Technology, Weihai
Empath: Tracing Multi-Level Emotion Dynamics in Crisis Counseling Dialogues
Sep 24, 2026Ziwei Gong, Yuchen Huang, Wen Liang +4Empathy Crisis
Columbia University, USA · Barnard College, USA
Multimodal Emotion Recognition in Conversations via Class-Wise Adaptive Modality Fusion and Affective Geometry
Sep 9, 2026Oriol Marín, Roger Marí, Gloria Haro +1Emotion Recognition Multimodal Fusion
Eurecat, Centre Tecnològic de Catalunya, Barcelona, Spain · Universitat Pompeu Fabra, Barcelona, Spain · Serra Húnter Fellow Programme, Universitat Pompeu Fabra, Barcelona, Spain
Shifting Relational Paradigms for Affective Computing: Affective Resonance, Vitality Affects, and Vocal Interaction Fields
Sep 9, 2026Cy Gorman, Yihang YaoAffective Computing Affective
Nurobodi, Australia
EmoMed: An Emotionally-Aware Agent for Multimodal Medical Support with Real-Time Information Retrieval
Sep 7, 2026Ivan Nasonov, Nikita Glazkov, Ivan Makovetskiy +4Emotional Support Conversation Task Multimodal Clinical Data
ISP RAS Research Center for Trusted Artificial Intelligence, 109004 Moscow, Russia · AXXX, 119049 Moscow, Russia · National University of Science and Technology (NUST) MISIS, 119049 Moscow, Russia +2
Text-Driven Artistic Staging: 3D Posing, Lighting, and Camera References from Paintings
Aug 28, 2026Yunge Wen3D Generative Models Lighting
Massachusetts Institute of Technology, New York University, USA
Do Vision-Language Models Agree on the Affective Qualities of Shape? A Cross-Model Audit for Generative Design Interfaces
Aug 26, 2026Luca Bux, Thiago Rios, Ingo Scholtes +2Visual Representations Shapes Constraint Language
Honda Research Institute Europe GmbH Offenbach am Main, Germany · Julius-Maximilians-Universität Würzburg Würzburg, Germany
E $^3$ mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment
Aug 11, 2026Lancheng Gao, Ziheng Jia, Shengyan Li +4Multimodal Large Language Models Evaluation Benchmarks
Shanghai Jiao Tong University
MMArt: A Multi-Perspective Multimodal Dataset for Visual Art Understanding
Aug 11, 2026Shuai Wang, Wangyuan Ding, Yixian Shen +5Art Large-Scale Image Datasets
University of Amsterdam, Amsterdam, The Netherlands · Amazon AGI, United States of America · College of Business and Economics, University of Johannesburg, South Africa
A Multi-Scale Temporal Framework with Dynamic Fusion for EEG-Based Emotion Recognition
Aug 10, 2026Stefanos Gkikas, Yang Guo, Guangliang Li +3Electroencephalography Auditory Attention
Honda Research Institute Japan Wako City, Japan · Faculty of Information Science and Engineering Ocean University of China Qingdao, China · BioSIS (Biosensing & Intelligent Systems) Lab Centre for Intelligent Computing and Systems University of Canberra Canberra, Australia +1
EmoWorld: A Decoupled Affective Field for Controllable Emotional Video Generation
Aug 6, 2026Bingyuan Wang, Baistan Zhyldyzbekov, Kunyu Feng +1Emotion Recognition Affective
The Hong Kong University of Science and Technology (Guangzhou) · The Hong Kong University of Science and Technology
Rethinking Modality Reliability in Multimodal Sentiment Analysis with Incomplete Observations
Aug 4, 2026Chunlei Meng, Jacqueline J. Pang, Pengbin Feng +3Multimodal Sentiment Analysis Missing Modalities
The College of Intelligent Robotics and Advanced Manufacturing (CIRAM), Fudan University · J.P. Morgan Chase · University of Southern California (USC) +1
Knowledge-Guided Multimodal Reasoning over Interacting Streams for Video-Level Ambivalence and Hesitancy Recognition
Jul 28, 2026Podakanti Satyajith Chary, Barath Parthiban, Pranesh Velmurugan +2Cross-Modal Conflicts Fine-Grained Video Understanding
Department of Engineering Science, IIT Hyderabad, India · Department of Biomedical Engineering, IIT Hyderabad, India
Ordered Network Analysis of Epistemic Emotions during Collaborative Problem Solving
Jul 25, 2026Sifatul Anindho, Videep Venkatesha, Jaclyn Ocumpaugh +1Affective Collaboration
Colorado State University, Fort Collins CO 80523, USA · University of Houston, Houston TX 77104, USA
REGARD: Regional Affective Differences in Large Language Models
Jul 22, 2026Andrei Chetvergov, Alexander Evseev, Mikhail Solovev +5Large Language Model Bias Affective
Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia · Russian Presidential Academy of National Economy and Public Administration, Moscow, Russia
EmoStyle: Affective Conditioning of Style-Specialist Experts for Emotional Image Generation
Jul 11, 2026Dexiang Hong, Yijie Guo, Weidong Chen +4Image Generation Artistic Ownership
University of Science and Technology of China HeFei, China · Harbin Institute of Technology, WeiHai WeiHai, China
When Robots Rate Their Own Interactions: Engagement Validity and the Strangeness Failure
Jun 22, 2026Victor Lockwood, Hasan Mahmud, Mohammad Javad Khojasteh +2Human-Ai Interaction Robot Systems
MS in AI Program Rochester Institute of Technology Rochester, New York, USA · School of Communication Rochester Institute of Technology Rochester, New York, USA · Electrical and Microelectronic Engineering Rochester Institute of Technology Rochester, New York, USA
From Affect Prediction to Affect Forecasting: Evidence for Distinct Information Sources in Longitudinal Text
Jun 15, 2026Sadia Noor, Seemab Latif, Raja Khurram Shahzad +1Affective Computing Affective
School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan · Department of Communication, Quality Management and Information Systems, Mid Sweden University, Ostersund, Sweden
RECTOR: Masked Region-Channel-Temporal Modeling for Affective and Cognitive Representation Learning
Jun 13, 2026Jinhan Liu, Mahsa ShoaranDual-Branch Temporal Modeling Representation Learning
Institutes of Electrical and Micro Engineering and Neuro-X, EPFL, Geneva, Switzerland.
Horse Eye Blink Detection and Classification for Equine Affective State Assessment
Jun 3, 2026João Alves, Signe Møller-Skuldbøl, Pia Haubro Andersen +1Facial Expression Recognition Yolo26
Visual Analysis and Perception Lab, Aalborg University · Department of Animal Biosciences, Swedish University of Agricultural Sciences
Beyond Semantics: Modeling Factual and Affective Perceptual Experiences from Vision-Language Data
Jun 2, 2026Youssef Mohamed, Kenneth Ward Church, Mohamed ElhoseinyPerceptually Perception
KAUST · VecML
Supervised Semantic Differential for Cross-Cultural Concept Analysis: A Case Study of Human Affect
May 27, 2026Jan Sikora, Paweł Lenartowicz, Hubert PlisieckiCross-Cultural Variation Affective
University of Warsaw · Society for Open Science Centre for Brain Research, Jagiellonian University · IDEAS Research Institute
Narrative Flattening: How Post-Training Compresses Thematic, Affective, and Stylistic Variation in LLM Fiction
May 27, 2026Zehan Li, Yutong Zhu, Siyang Wu +2Narrative Generation Narratives
Knowledge Lab, University of Chicago
Automated Detection and Classification of Delusion-related Content in Naturalistic Audio Diaries Using Multi-Agent Language Models
May 23, 2026Feng Chen, Justin Tauscher, Changye Li +7Multi-Agent Large Language Model Systems Affective
Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA · Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA · Department of Psychology, Louisiana State University, Baton Rouge, LA, USA +1
Designing Conversations with the Dead: How People Engage with Generative Ghosts
May 20, 2026Jack Manning, Daniel Sullivan, Dylan Thomas Doyle +2Generative Artificial Intelligence Conversational Context
University of Colorado Boulder, USA
EmoMind: Decoding Affective Captions from Human Brain fMRI
May 16, 2026Bilal A. Mohammed, Lin Gu, Ruogu FangEmotion Recognition Affective
Department of Biomedical Engineering Vanderbilt University Nashville, TN · Research Institute of Electrical Communication Tohoku University Sendai, Japan · Department of Biomedical Engineering University of Florida Gainesville, FL
Phase Transitions in Affective Meaning Divergence: The Hidden Drift Before the Break
May 9, 2026Napassorn LitchiowongAffective Divergence
School of Computing, National University of Singapore
Caring Without Feeling: Affective Dynamics as the Control Layer of Human-AI Agent Collaboration
May 8, 2026Junjie Xu, Xingjiao Wu, Zihao Zhang +6Human-Ai Collaboration Affective Computing
East China Normal University, Shanghai, China. · National University of Singapore, Singapore.
The Nonverbal Syntax Framework: An Evidence-Based Tiered System for Inferring Learner States from Observable Behavioral Cues
Apr 28, 2026Sherzod Turaev, Mary John, Jaloliddin Rustamov +4Nonverbal Cues Transition Learning
Department of Computer Science & Software Engineering, College of Information Technology, United Arab Emirates University, Al Ain, Abu Dhabi, United Arab Emirates · Academic Support Department, Abu Dhabi Polytechnic, Abu Dhabi, United Arab Emirates · Department of Information Systems and Security, College of Information Technology, College of Information Technology, United Arab Emirates University, Al Ain, Abu Dhabi, United Arab Emirates
UKP_Psycontrol at SemEval-2026 Task 2: Modeling Valence and Arousal Dynamics from Text
Apr 23, 2026Darya Hryhoryeva, Amaia Zurinaga, Hamidreza Jamalabadi +1Valence-Arousal Estimation Affective
Ubiquitous Knowledge Processing Lab (UKP Lab), Technical University of Darmstadt · National Research Center for Applied Cybersecurity ATHENE, Germany · Psychiatric Control Systems Lab, Marburg University
LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies
Apr 18, 2026Alexis Carrillo, Salvatore Citraro, Ali Aghazhadeh Ardebili +5Persuasion Human-Ai Interaction
CogNosco Lab, Department of Psychology and Cognitive Science, University of Trento, Rovereto, Italy · Institute of Information Science and Technologies “Alessandro Faedo", National Research Council, Italy · Thomas Lord Department of Computer Science, University of Southern California, Los Angeles, California, USA +2
GAViD: A Large-Scale Multimodal Dataset for Context-Aware Group Affect Recognition from Videos
Apr 17, 2026Deepak Kumar, Abhishek Pratap Singh, Puneet Kumar +2Affective Computing Multimodal Dataset
Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India · Indian Institute of Technology Ropar, Punjab, India · Zhejiang University, China +1

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Decoding Affective Nuances: Enhancing MLLMs via Hierarchical Emotion Reasoning and Contrastive Discriminative Pruning

Cheng Ye, Weidong Chen, Zhaobo Qi, Beier Zhu+1

University of Science and Technology of China, Hefei · Harbin Institute of Technology, Weihai

Multimodal Large Language Models Affective

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While multimodal large language models (MLLMs) have demonstrated exceptional capabilities in objective understanding tasks, their performance in affective reasoning still falls significantly short of human standards. We attribute it to a central capability gap: MLLMs are difficult to reliably distinguish semantically proximal emotions based on fine-grained visual evidence, which could be decoupled as two limitations: 1) Insufficient Attribution. The global reasoning paradigm of conventional MLLMs severely dilutes fine-grained emotion cues, where subtle emotional states are usually implicitly encoded, thereby generating emotional misjudgments in complex scenarios. 2) Insufficient Discrimination. Existing methods could only identify regions generally associated with emotions, which fails to distinguish discriminative regions between semantically similar emotions, leading to ambiguous emotion judgements. To overcome these limitations, we present a training-free inference-time optimization framework, named Decoding Affective Nuances (DAN). Specifically, we propose a Hierarchical Emotional Reasoning Chain (HERC) that enhances the insufficient attribution by harmonizing fine-grained scene/object-level cues and performing a soft-gated reasoning. Furthermore, to discriminate between semantically proximal emotions, we design a Contrastive Discriminative Visual Pruning (CDVP), which isolates discriminative visual tokens to reason the final emotion category by computing the absolute discrepancy between the attention distributions of similar emotions. Performances on several benchmarks demonstrate that DAN significantly improves discrimination for affective nuances without consuming additional training resources, especially achieving +10.47% improvements with Qwen3-VL-8B-Instruct on WebEmo25 dataset that contains 25 fine-grained emotion categories.

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