{"total":72,"rows":[{"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":"2106.01978","title":"DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations","created":"2021-06-03","cited_by_count":71,"area":null},{"id":"2304.09582","title":"Is ChatGPT Equipped with Emotional Dialogue Capabilities?","created":"2023-04-19","cited_by_count":54,"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":"2206.02187","title":"M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation","created":"2022-06-05","cited_by_count":47,"area":null},{"id":"2205.12673","title":"InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning","created":"2022-05-25","cited_by_count":39,"area":null},{"id":"2410.02678","title":"Distilling an End-to-End Voice Assistant Without Instruction Training Data","created":"2024-10-03","cited_by_count":39,"area":null},{"id":"2112.06346","title":"ValueNet: A New Dataset for Human Value Driven Dialogue System","created":"2021-12-12","cited_by_count":34,"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":"2110.08020","title":"Multimodal Emotion-Cause Pair Extraction in Conversations","created":"2021-10-15","cited_by_count":31,"area":null},{"id":"2305.13500","title":"Learning Emotion Representations from Verbal and Nonverbal Communication","created":"2023-05-22","cited_by_count":31,"area":null},{"id":"2206.02119","title":"A Multimodal Corpus for Emotion Recognition in Sarcasm","created":"2022-06-05","cited_by_count":29,"area":null},{"id":"2111.02110","title":"Automatic Evaluation and Moderation of Open-domain Dialogue Systems","created":"2021-11-03","cited_by_count":28,"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":"2106.15846","title":"Automatically Select Emotion for Response via Personality-affected Emotion Transition","created":"2021-06-30","cited_by_count":15,"area":null},{"id":"2202.13645","title":"MSCTD: A Multimodal Sentiment Chat Translation Dataset","created":"2022-02-28","cited_by_count":15,"area":null},{"id":"2407.02751","title":"Emotion and Intent Joint Understanding in Multimodal Conversation: A Benchmarking Dataset","created":"2024-07-03","cited_by_count":15,"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":"2310.16301","title":"Is ChatGPT a Good Multi-Party Conversation Solver?","created":"2023-10-25","cited_by_count":13,"area":null},{"id":"2506.20960","title":"OmniEval: A Benchmark for Evaluating Omni-modal Models with Visual, Auditory, and Textual Inputs","created":"2025-06-26","cited_by_count":13,"area":null},{"id":"2601.19922","title":"HEART: A Unified Benchmark for Assessing Humans and LLMs in Emotional Support Dialogue","created":"2026-01-09","cited_by_count":13,"area":null},{"id":"2103.03125","title":"Advances in Multi-turn Dialogue Comprehension: A Survey","created":"2021-03-04","cited_by_count":12,"area":null},{"id":"2405.13049","title":"SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in Conversations","created":"2024-05-19","cited_by_count":12,"area":null},{"id":"2503.19851","title":"Towards Online Multi-Modal Social Interaction Understanding","created":"2025-03-25","cited_by_count":12,"area":null},{"id":"2505.20511","title":"Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects","created":"2025-05-26","cited_by_count":11,"area":null},{"id":"2306.12794","title":"Overview of Robust and Multilingual Automatic Evaluation Metrics for Open-Domain Dialogue Systems at DSTC 11 Track 4","created":"2023-06-22","cited_by_count":10,"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":"2301.09279","title":"StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time Series","created":"2023-01-23","cited_by_count":9,"area":null},{"id":"2105.14815","title":"Supporting Cognitive and Emotional Empathic Writing of Students","created":"2021-05-31","cited_by_count":8,"area":null},{"id":"2109.03004","title":"Empathetic Dialogue Generation with Pre-trained RoBERTa-GPT2 and External Knowledge","created":"2021-09-07","cited_by_count":8,"area":null},{"id":"2103.15625","title":"English-Twi Parallel Corpus for Machine Translation","created":"2021-03-29","cited_by_count":7,"area":null},{"id":"2105.06829","title":"Empathetic Dialog Generation with Fine-Grained Intents","created":"2021-05-14","cited_by_count":7,"area":null},{"id":"2102.01263","title":"MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations","created":"2021-02-02","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":"2408.06044","title":"DiagESC: Dialogue Synthesis for Integrating Depression Diagnosis into Emotional Support Conversation","created":"2024-08-12","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":"2502.10973","title":"Akan Cinematic Emotions (ACE): A Multimodal Multi-party Dataset for Emotion Recognition in Movie Dialogues","created":"2025-02-16","cited_by_count":6,"area":null},{"id":"2510.15148","title":"XModBench: Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Models","created":"2025-10-16","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":"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":"2105.08146","title":"MUSER: MUltimodal Stress Detection using Emotion Recognition as an Auxiliary Task","created":"2021-05-17","cited_by_count":4,"area":null},{"id":"2205.11867","title":"Building a Dialogue Corpus Annotated with Expressed and Experienced Emotions","created":"2022-05-24","cited_by_count":4,"area":null},{"id":"2308.16349","title":"Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversations","created":"2023-08-30","cited_by_count":4,"area":null},{"id":"2211.15377","title":"Whose Emotion Matters? Speaking Activity Localisation without Prior Knowledge","created":"2022-11-23","cited_by_count":3,"area":null},{"id":"2311.17376","title":"CESAR: Automatic Induction of Compositional Instructions for Multi-turn Dialogs","created":"2023-11-29","cited_by_count":3,"area":null},{"id":"2401.09248","title":"Learning from Implicit User Feedback, Emotions and Demographic Information in Task-Oriented and Document-Grounded Dialogues","created":"2024-01-17","cited_by_count":3,"area":null},{"id":"2210.06405","title":"Transformer-based Text Classification on Unified Bangla Multi-class Emotion Corpus","created":"2022-10-12","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":"2310.06536","title":"EmoTwiCS: A Corpus for Modelling Emotion Trajectories in Dutch Customer Service Dialogues on Twitter","created":"2023-10-10","cited_by_count":2,"area":null},{"id":"2402.17377","title":"KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark","created":"2024-02-27","cited_by_count":2,"area":null},{"id":"2403.04798","title":"JMI at SemEval 2024 Task 3: Two-step approach for multimodal ECAC using in-context learning with GPT and instruction-tuned Llama models","created":"2024-03-05","cited_by_count":2,"area":null},{"id":"2406.19545","title":"Leveraging Machine-Generated Rationales to Facilitate Social Meaning Detection in Conversations","created":"2024-06-27","cited_by_count":2,"area":null},{"id":"2408.01838","title":"Tracking Emotional Dynamics in Chat Conversations: A Hybrid Approach using DistilBERT and Emoji Sentiment Analysis","created":"2024-08-03","cited_by_count":2,"area":null},{"id":"2604.07017","title":"A-MBER: Affective Memory Benchmark for Emotion Recognition","created":"2026-04-08","cited_by_count":2,"area":null},{"id":"2205.15513","title":"A Unified Framework for Emotion Identification and Generation in Dialogues","created":"2022-05-31","cited_by_count":1,"area":null},{"id":"2207.11774","title":"Towards a Sentiment-Aware Conversational Agent","created":"2022-07-24","cited_by_count":1,"area":null},{"id":"2303.03510","title":"Guilt Detection in Text: A Step Towards Understanding Complex Emotions","created":"2023-03-06","cited_by_count":1,"area":null},{"id":"2309.06928","title":"Dynamic Causal Disentanglement Model for Dialogue Emotion Detection","created":"2023-09-13","cited_by_count":1,"area":null},{"id":"2312.03756","title":"LineConGraphs: Line Conversation Graphs for Effective Emotion Recognition using Graph Neural Networks","created":"2023-12-04","cited_by_count":1,"area":null},{"id":"2606.01906","title":"Bayesian Spectral Emotion Transition Discovery from Multi-Annotator Disagreement","created":"2026-06-01","cited_by_count":1,"area":null},{"id":"2110.04984","title":"Advances in Multi-turn Dialogue Comprehension: A Survey","created":"2021-10-11","cited_by_count":0,"area":null},{"id":"2205.10850","title":"AFEC: A Knowledge Graph Capturing Social Intelligence in Casual Conversations","created":"2022-05-22","cited_by_count":0,"area":null},{"id":"2309.03238","title":"Implicit Design Choices and Their Impact on Emotion Recognition Model Development and Evaluation","created":"2023-09-06","cited_by_count":0,"area":null},{"id":"2401.00383","title":"Predicting Evoked Emotions in Conversations","created":"2023-12-31","cited_by_count":0,"area":null},{"id":"2405.14385","title":"Emotion Identification for French in Written Texts: Considering their Modes of Expression as a Step Towards Text Complexity Analysis","created":"2024-05-23","cited_by_count":0,"area":null},{"id":"2410.05778","title":"Song Emotion Classification of Lyrics with Out-of-Domain Data under Label Scarcity","created":"2024-10-08","cited_by_count":0,"area":null},{"id":"2509.05330","title":"MVRS: The Multimodal Virtual Reality Stimuli-based Emotion Recognition Dataset","created":"2025-08-31","cited_by_count":0,"area":null},{"id":"2603.03327","title":"A benchmark for joint dialogue satisfaction, emotion recognition, and emotion state transition prediction","created":"2026-02-10","cited_by_count":0,"area":null},{"id":"2604.00819","title":"Emotion Entanglement and Bayesian Inference for Multi-Dimensional Emotion Understanding","created":"2026-04-01","cited_by_count":0,"area":null},{"id":"2604.09265","title":"EthicMind: A Risk-Aware Framework for Ethical-Emotional Alignment in Multi-Turn Dialogue","created":"2026-04-10","cited_by_count":0,"area":null},{"id":"2605.16613","title":"Beyond Sentiment Classification: A Generative Framework for Emotion Intensity Evaluation in Text","created":"2026-05-15","cited_by_count":0,"area":null}],"next_cursor":null}