{"total":186,"rows":[{"id":"2405.14093","title":"A Survey on Vision-Language-Action Models for Embodied AI","created":"2024-05-23","cited_by_count":279,"area":"vla"},{"id":"2109.00412","title":"Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis","created":"2021-09-01","cited_by_count":131,"area":null},{"id":"2107.06779","title":"MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation","created":"2021-07-14","cited_by_count":99,"area":null},{"id":"2105.12907","title":"Directed Acyclic Graph Network for Conversational Emotion Recognition","created":"2021-05-27","cited_by_count":97,"area":null},{"id":"2203.02177","title":"GCNet: Graph Completion Network for Incomplete Multimodal Learning in Conversation","created":"2022-03-04","cited_by_count":87,"area":null},{"id":"2106.01978","title":"DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations","created":"2021-06-03","cited_by_count":71,"area":null},{"id":"2211.11256","title":"UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition","created":"2022-11-21","cited_by_count":61,"area":null},{"id":"2108.12009","title":"EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTa","created":"2021-08-26","cited_by_count":60,"area":null},{"id":"2106.01112","title":"DynaEval: Unifying Turn and Dialogue Level Evaluation","created":"2021-06-02","cited_by_count":59,"area":null},{"id":"2106.01071","title":"Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection","created":"2021-06-02","cited_by_count":56,"area":null},{"id":"2204.12749","title":"Control Globally, Understand Locally: A Global-to-Local Hierarchical Graph Network for Emotional Support Conversation","created":"2022-04-27","cited_by_count":56,"area":null},{"id":"2203.02385","title":"MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations","created":"2022-03-04","cited_by_count":52,"area":null},{"id":"2205.10237","title":"M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database","created":"2022-05-09","cited_by_count":50,"area":null},{"id":"2203.13504","title":"EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition","created":"2022-03-25","cited_by_count":48,"area":null},{"id":"2206.02187","title":"M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation","created":"2022-06-05","cited_by_count":47,"area":null},{"id":"2312.06337","title":"Deep Imbalanced Learning for Multimodal Emotion Recognition in Conversations","created":"2023-12-11","cited_by_count":47,"area":null},{"id":"2111.04964","title":"On Representation Knowledge Distillation for Graph Neural Networks","created":"2021-11-09","cited_by_count":38,"area":"distill"},{"id":"2310.20494","title":"A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations","created":"2023-10-31","cited_by_count":37,"area":"distill"},{"id":"2112.11202","title":"Contrast and Generation Make BART a Good Dialogue Emotion Recognizer","created":"2021-12-21","cited_by_count":35,"area":null},{"id":"2107.11934","title":"Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection","created":"2021-07-26","cited_by_count":34,"area":null},{"id":"2404.17858","title":"Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion","created":"2024-04-27","cited_by_count":33,"area":"ssm"},{"id":"2404.17862","title":"Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum","created":"2024-04-27","cited_by_count":33,"area":null},{"id":"2312.05735","title":"A Comprehensive Survey on Multi-modal Conversational Emotion Recognition with Deep Learning","created":"2023-12-10","cited_by_count":32,"area":null},{"id":"2310.11374","title":"DialogueLLM: Context and Emotion Knowledge-Tuned Large Language Models for Emotion Recognition in Conversations","created":"2023-10-17","cited_by_count":30,"area":null},{"id":"2205.02455","title":"COGMEN: COntextualized GNN based Multimodal Emotion recognitioN","created":"2022-05-05","cited_by_count":29,"area":null},{"id":"2306.17799","title":"A Low-rank Matching Attention based Cross-modal Feature Fusion Method for Conversational Emotion Recognition","created":"2023-06-16","cited_by_count":29,"area":null},{"id":"2109.04008","title":"Graph Based Network with Contextualized Representations of Turns in Dialogue","created":"2021-09-09","cited_by_count":26,"area":null},{"id":"2205.14727","title":"CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI","created":"2022-05-29","cited_by_count":26,"area":null},{"id":"2403.10943","title":"MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations","created":"2024-03-16","cited_by_count":26,"area":null},{"id":"2106.00920","title":"DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues","created":"2021-06-02","cited_by_count":25,"area":null},{"id":"2112.11718","title":"Hybrid Curriculum Learning for Emotion Recognition in Conversation","created":"2021-12-22","cited_by_count":25,"area":null},{"id":"2312.10579","title":"DER-GCN: Dialogue and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialogue Emotion Recognition","created":"2023-12-17","cited_by_count":23,"area":null},{"id":"2407.00119","title":"Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations","created":"2024-06-27","cited_by_count":23,"area":null},{"id":"2207.12261","title":"GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion Recognition","created":"2022-07-06","cited_by_count":20,"area":null},{"id":"2306.01505","title":"Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations","created":"2023-06-02","cited_by_count":19,"area":null},{"id":"2407.16714","title":"Masked Graph Learning with Recurrent Alignment for Multimodal Emotion Recognition in Conversation","created":"2024-07-23","cited_by_count":19,"area":null},{"id":"2309.01339","title":"UniSA: Unified Generative Framework for Sentiment Analysis","created":"2023-09-04","cited_by_count":17,"area":null},{"id":"2104.12377","title":"DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension","created":"2021-04-26","cited_by_count":16,"area":null},{"id":"2308.11578","title":"Refashioning Emotion Recognition Modelling: The Advent of Generalised Large Models","created":"2023-08-21","cited_by_count":16,"area":null},{"id":"2106.06233","title":"Enhancing Speaking Styles in Conversational Text-to-Speech Synthesis with Graph-based Multi-modal Context Modeling","created":"2021-06-11","cited_by_count":15,"area":null},{"id":"2106.15846","title":"Automatically Select Emotion for Response via Personality-affected Emotion Transition","created":"2021-06-30","cited_by_count":15,"area":null},{"id":"2103.12360","title":"Discovering Emotion and Reasoning its Flip in Multi-Party Conversations using Masked Memory Network and Transformer","created":"2021-03-23","cited_by_count":14,"area":null},{"id":"2301.04907","title":"Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generation","created":"2023-01-12","cited_by_count":14,"area":null},{"id":"2302.03508","title":"Cluster-Level Contrastive Learning for Emotion Recognition in Conversations","created":"2023-02-07","cited_by_count":14,"area":null},{"id":"2311.11009","title":"Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion Recognition","created":"2023-11-18","cited_by_count":14,"area":null},{"id":"2109.03772","title":"Self- and Pseudo-self-supervised Prediction of Speaker and Key-utterance for Multi-party Dialogue Reading Comprehension","created":"2021-09-08","cited_by_count":13,"area":null},{"id":"2109.04066","title":"Enhanced Speaker-aware Multi-party Multi-turn Dialogue Comprehension","created":"2021-09-09","cited_by_count":13,"area":null},{"id":"2205.00759","title":"Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge","created":"2022-05-02","cited_by_count":13,"area":null},{"id":"2211.09172","title":"Deep Emotion Recognition in Textual Conversations: A Survey","created":"2022-11-16","cited_by_count":13,"area":null},{"id":"2308.04502","title":"Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition","created":"2023-08-08","cited_by_count":13,"area":null},{"id":"2409.07388","title":"Recent Advances in Multimodal Affective Computing: An NLP Perspective","created":"2024-09-11","cited_by_count":13,"area":null},{"id":"2411.19822","title":"SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition","created":"2024-11-29","cited_by_count":13,"area":null},{"id":"2312.10201","title":"CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition","created":"2023-12-15","cited_by_count":12,"area":null},{"id":"2312.16778","title":"Adversarial Representation with Intra-Modal and Inter-Modal Graph Contrastive Learning for Multimodal Emotion Recognition","created":"2023-12-28","cited_by_count":12,"area":null},{"id":"2401.12987","title":"TelME: Teacher-leading Multimodal Fusion Network for Emotion Recognition in Conversation","created":"2024-01-16","cited_by_count":12,"area":null},{"id":"2103.00820","title":"Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues","created":"2021-03-01","cited_by_count":11,"area":null},{"id":"2111.00404","title":"Speech Emotion Recognition Using Quaternion Convolutional Neural Networks","created":"2021-10-31","cited_by_count":11,"area":null},{"id":"2304.06910","title":"HCAM -- Hierarchical Cross Attention Model for Multi-modal Emotion Recognition","created":"2023-04-14","cited_by_count":11,"area":null},{"id":"2309.11911","title":"InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models","created":"2023-09-21","cited_by_count":11,"area":"rag"},{"id":"2407.04279","title":"BiosERC: Integrating Biography Speakers Supported by LLMs for ERC Tasks","created":"2024-07-05","cited_by_count":11,"area":null},{"id":"2504.02244","title":"SocialGesture: Delving into Multi-person Gesture Understanding","created":"2025-04-03","cited_by_count":11,"area":null},{"id":"2108.12465","title":"Code-switched inspired losses for generic spoken dialog representations","created":"2021-08-27","cited_by_count":10,"area":null},{"id":"2109.09366","title":"Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks","created":"2021-09-20","cited_by_count":10,"area":null},{"id":"2112.01938","title":"Shapes of Emotions: Multimodal Emotion Recognition in Conversations via Emotion Shifts","created":"2021-12-03","cited_by_count":9,"area":null},{"id":"2112.12389","title":"S+PAGE: A Speaker and Position-Aware Graph Neural Network Model for Emotion Recognition in Conversation","created":"2021-12-23","cited_by_count":9,"area":null},{"id":"2203.03856","title":"DARER: Dual-task Temporal Relational Recurrent Reasoning Network for Joint Dialog Sentiment Classification and Act Recognition","created":"2022-03-08","cited_by_count":9,"area":null},{"id":"2301.06745","title":"BERT-ERC: Fine-tuning BERT is Enough for Emotion Recognition in Conversation","created":"2023-01-17","cited_by_count":9,"area":null},{"id":"2206.03173","title":"Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation","created":"2022-06-07","cited_by_count":8,"area":null},{"id":"2404.00403","title":"UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause","created":"2024-03-30","cited_by_count":8,"area":null},{"id":"2303.11117","title":"EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversation","created":"2023-03-20","cited_by_count":7,"area":null},{"id":"2306.09114","title":"Relational Temporal Graph Reasoning for Dual-task Dialogue Language Understanding","created":"2023-06-15","cited_by_count":7,"area":null},{"id":"2109.15153","title":"Multi-Modal Sarcasm Detection Based on Contrastive Attention Mechanism","created":"2021-09-30","cited_by_count":6,"area":null},{"id":"2111.08531","title":"Language bias in Visual Question Answering: A Survey and Taxonomy","created":"2021-11-16","cited_by_count":6,"area":null},{"id":"2203.00819","title":"TSAM: A Two-Stream Attention Model for Causal Emotion Entailment","created":"2022-03-02","cited_by_count":6,"area":null},{"id":"2302.01935","title":"CAB: Empathetic Dialogue Generation with Cognition, Affection and Behavior","created":"2023-02-03","cited_by_count":6,"area":null},{"id":"2304.05634","title":"How you feelin'? Learning Emotions and Mental States in Movie Scenes","created":"2023-04-12","cited_by_count":6,"area":null},{"id":"2310.04456","title":"Multimodal Prompt Transformer with Hybrid Contrastive Learning for Emotion Recognition in Conversation","created":"2023-10-04","cited_by_count":6,"area":null},{"id":"2410.09524","title":"Emphasis Rendering for Conversational Text-to-Speech with Multi-modal Multi-scale Context Modeling","created":"2024-10-12","cited_by_count":6,"area":null},{"id":"2104.07252","title":"Emotion Dynamics Modeling via BERT","created":"2021-04-15","cited_by_count":5,"area":null},{"id":"2109.11541","title":"CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role Labeling","created":"2021-09-23","cited_by_count":5,"area":null},{"id":"2205.13908","title":"EmoInHindi: A Multi-label Emotion and Intensity Annotated Dataset in Hindi for Emotion Recognition in Dialogues","created":"2022-05-27","cited_by_count":5,"area":null},{"id":"2308.11029","title":"RBA-GCN: Relational Bilevel Aggregation Graph Convolutional Network for Emotion Recognition","created":"2023-08-18","cited_by_count":5,"area":null},{"id":"2401.00609","title":"A Survey of Personality, Persona, and Profile in Conversational Agents and Chatbots","created":"2023-12-31","cited_by_count":5,"area":null},{"id":"2402.17269","title":"Curriculum Learning Meets Directed Acyclic Graph for Multimodal Emotion Recognition","created":"2024-02-27","cited_by_count":5,"area":null},{"id":"2402.18944","title":"SemEval 2024 -- Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF)","created":"2024-02-29","cited_by_count":5,"area":null},{"id":"2207.13254","title":"Contextual Information and Commonsense Based Prompt for Emotion Recognition in Conversation","created":"2022-07-27","cited_by_count":4,"area":null},{"id":"2306.06601","title":"Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing","created":"2023-06-11","cited_by_count":4,"area":null},{"id":"2306.13959","title":"Emotion Flip Reasoning in Multiparty Conversations","created":"2023-06-24","cited_by_count":4,"area":null},{"id":"2408.07694","title":"End-to-end Semantic-centric Video-based Multimodal Affective Computing","created":"2024-08-14","cited_by_count":4,"area":null},{"id":"2503.23721","title":"Unimodal-driven Distillation in Multimodal Emotion Recognition with Dynamic Fusion","created":"2025-03-31","cited_by_count":4,"area":"moe"},{"id":"2211.03742","title":"Multi-Task Learning Framework for Extracting Emotion Cause Span and Entailment in Conversations","created":"2022-11-07","cited_by_count":3,"area":null},{"id":"2305.02615","title":"How to Enhance Causal Discrimination of Utterances: A Case on Affective Reasoning","created":"2023-05-04","cited_by_count":3,"area":"lr"},{"id":"2403.20289","title":"Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation","created":"2024-03-29","cited_by_count":3,"area":null},{"id":"2404.07229","title":"Personality-affected Emotion Generation in Dialog Systems","created":"2024-04-03","cited_by_count":3,"area":null},{"id":"2412.08049","title":"EmoVerse: Exploring Multimodal Large Language Models for Sentiment and Emotion Understanding","created":"2024-12-11","cited_by_count":3,"area":"mllm"},{"id":"2106.03345","title":"A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech","created":"2021-06-07","cited_by_count":2,"area":null},{"id":"2201.03969","title":"Multimodal Representations Learning Based on Mutual Information Maximization and Minimization and Identity Embedding for Multimodal Sentiment Analysis","created":"2022-01-10","cited_by_count":2,"area":null},{"id":"2208.11450","title":"VISTANet: VIsual Spoken Textual Additive Net for Interpretable Multimodal Emotion Recognition","created":"2022-08-24","cited_by_count":2,"area":null},{"id":"2210.09434","title":"Modelling Emotion Dynamics in Song Lyrics with State Space Models","created":"2022-10-17","cited_by_count":2,"area":null},{"id":"2211.04834","title":"Distribution-based Emotion Recognition in Conversation","created":"2022-11-09","cited_by_count":2,"area":null}],"next_cursor":"100"}