{"total":136,"rows":[{"id":"2105.12907","title":"Directed Acyclic Graph Network for Conversational Emotion Recognition","created":"2021-05-27","cited_by_count":97,"area":null},{"id":"2305.11792","title":"Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs","created":"2023-05-19","cited_by_count":62,"area":"lr"},{"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":"2106.01071","title":"Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection","created":"2021-06-02","cited_by_count":56,"area":null},{"id":"2304.09582","title":"Is ChatGPT Equipped with Emotional Dialogue Capabilities?","created":"2023-04-19","cited_by_count":54,"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":"2203.13926","title":"CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues","created":"2022-03-25","cited_by_count":38,"area":null},{"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":"2108.11626","title":"CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversation","created":"2021-08-26","cited_by_count":35,"area":null},{"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":"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":"2210.08713","title":"Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation","created":"2022-10-17","cited_by_count":31,"area":null},{"id":"2403.01222","title":"Emotion Analysis in NLP: Trends, Gaps and Roadmap for Future Directions","created":"2024-03-02","cited_by_count":27,"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":"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":"2112.11718","title":"Hybrid Curriculum Learning for Emotion Recognition in Conversation","created":"2021-12-22","cited_by_count":25,"area":null},{"id":"2109.04919","title":"EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion Recognition in Task-Oriented Dialogue Systems","created":"2021-09-10","cited_by_count":20,"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":"2311.04507","title":"Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction","created":"2023-11-08","cited_by_count":18,"area":null},{"id":"2309.01339","title":"UniSA: Unified Generative Framework for Sentiment Analysis","created":"2023-09-04","cited_by_count":17,"area":null},{"id":"2109.09487","title":"Dyadformer: A Multi-modal Transformer for Long-Range Modeling of Dyadic Interactions","created":"2021-09-20","cited_by_count":16,"area":null},{"id":"2210.03884","title":"Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness","created":"2022-10-08","cited_by_count":16,"area":null},{"id":"2212.02995","title":"Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment","created":"2022-12-06","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":"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":"2307.15432","title":"CFN-ESA: A Cross-Modal Fusion Network with Emotion-Shift Awareness for Dialogue Emotion Recognition","created":"2023-07-28","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":"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":"2403.07260","title":"LaERC-S: Improving LLM-based Emotion Recognition in Conversation with Speaker Characteristics","created":"2024-03-12","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":"2306.04657","title":"Improving Empathetic Dialogue Generation by Dynamically Infusing Commonsense Knowledge","created":"2023-05-24","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":"2407.04279","title":"BiosERC: Integrating Biography Speakers Supported by LLMs for ERC Tasks","created":"2024-07-05","cited_by_count":11,"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":"2407.21669","title":"Synth-Empathy: Towards High-Quality Synthetic Empathy Data","created":"2024-07-31","cited_by_count":10,"area":null},{"id":"2109.03892","title":"Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models","created":"2021-09-08","cited_by_count":9,"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":"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":"2504.16939","title":"A Desideratum for Conversational Agents: Capabilities, Challenges, and Future Directions","created":"2025-04-07","cited_by_count":9,"area":"agents"},{"id":"2106.09790","title":"Multi-Task Learning and Adapted Knowledge Models for Emotion-Cause Extraction","created":"2021-06-17","cited_by_count":8,"area":null},{"id":"2108.06643","title":"SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation","created":"2021-08-15","cited_by_count":8,"area":null},{"id":"2204.02549","title":"C3KG: A Chinese Commonsense Conversation Knowledge Graph","created":"2022-04-06","cited_by_count":8,"area":null},{"id":"2205.02524","title":"M2R2: Missing-Modality Robust emotion Recognition framework with iterative data augmentation","created":"2022-05-05","cited_by_count":8,"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":"2110.08975","title":"Deep Transfer Learning & Beyond: Transformer Language Models in Information Systems Research","created":"2021-10-18","cited_by_count":7,"area":null},{"id":"2210.04191","title":"CHARD: Clinical Health-Aware Reasoning Across Dimensions for Text Generation Models","created":"2022-10-09","cited_by_count":7,"area":null},{"id":"2302.07926","title":"Commonsense Reasoning for Conversational AI: A Survey of the State of the Art","created":"2023-02-15","cited_by_count":7,"area":"lr"},{"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":"2312.08702","title":"Rational Sensibility: LLM Enhanced Empathetic Response Generation Guided by Self-presentation Theory","created":"2023-12-14","cited_by_count":7,"area":null},{"id":"2408.02143","title":"Analyzing Cultural Representations of Emotions in LLMs through Mixed Emotion Survey","created":"2024-08-04","cited_by_count":7,"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":"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":"2305.00262","title":"Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention","created":"2023-04-29","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":"2305.14071","title":"Disentangled Variational Autoencoder for Emotion Recognition in Conversations","created":"2023-05-23","cited_by_count":5,"area":null},{"id":"2310.14614","title":"Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognition","created":"2023-10-23","cited_by_count":5,"area":null},{"id":"2108.04674","title":"Natural Language Processing with Commonsense Knowledge: A Survey","created":"2021-08-10","cited_by_count":4,"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":"2208.12494","title":"GRASP: Guiding model with RelAtional Semantics using Prompt for Dialogue Relation Extraction","created":"2022-08-26","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":"2311.07093","title":"A Comprehensive Study on the Effectiveness of ASR Representations for Noise-Robust Speech Emotion Recognition","created":"2023-11-13","cited_by_count":4,"area":null},{"id":"2401.17755","title":"CauESC: A Causal Aware Model for Emotional Support Conversation","created":"2024-01-31","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":"2304.08216","title":"Context-Dependent Embedding Utterance Representations for Emotion Recognition in Conversations","created":"2023-04-17","cited_by_count":3,"area":null},{"id":"2308.12648","title":"From Chatter to Matter: Addressing Critical Steps of Emotion Recognition Learning in Task-oriented Dialogue","created":"2023-08-24","cited_by_count":3,"area":null},{"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":"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":"2205.03540","title":"CogIntAc: Modeling the Relationships between Intention, Emotion and Action in Interactive Process from Cognitive Perspective","created":"2022-05-07","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":"2306.03969","title":"ECQED: Emotion-Cause Quadruple Extraction in Dialogs","created":"2023-06-06","cited_by_count":2,"area":null},{"id":"2308.04811","title":"A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge","created":"2023-08-09","cited_by_count":2,"area":"lr"},{"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":"2310.13080","title":"From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed Dialogues","created":"2023-10-19","cited_by_count":2,"area":null},{"id":"2404.02402","title":"Token Trails: Navigating Contextual Depths in Conversational AI with ChatLLM","created":"2024-04-03","cited_by_count":2,"area":null},{"id":"2404.16905","title":"Samsung Research China-Beijing at SemEval-2024 Task 3: A multi-stage framework for Emotion-Cause Pair Extraction in Conversations","created":"2024-04-25","cited_by_count":2,"area":null},{"id":"2405.03960","title":"ESIHGNN: Event-State Interactions Infused Heterogeneous Graph Neural Network for Conversational Emotion Recognition","created":"2024-05-07","cited_by_count":2,"area":null},{"id":"2409.02122","title":"Deep Knowledge-Infusion For Explainable Depression Detection","created":"2024-09-01","cited_by_count":2,"area":null},{"id":"2511.07061","title":"Do LLMs Feel? Teaching Emotion Recognition with Prompts, Retrieval, and Curriculum Learning","created":"2025-11-10","cited_by_count":2,"area":null},{"id":"2607.20445","title":"SCoPE: Shift-Aware Speaker-Conditioned Priors for Emotion Recognition in Conversations","created":"2026-05-13","cited_by_count":2,"area":null},{"id":"2106.08785","title":"SEOVER: Sentence-level Emotion Orientation Vector based Conversation Emotion Recognition Model","created":"2021-06-16","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":"2302.02419","title":"deep learning of segment-level feature representation for speech emotion recognition in conversations","created":"2023-02-05","cited_by_count":1,"area":null},{"id":"2305.03506","title":"SI-LSTM: Speaker Hybrid Long-short Term Memory and Cross Modal Attention for Emotion Recognition in Conversation","created":"2023-05-04","cited_by_count":1,"area":null},{"id":"2307.00449","title":"A Dual-Stream Recurrence-Attention Network With Global-Local Awareness for Emotion Recognition in Textual Dialog","created":"2023-07-02","cited_by_count":1,"area":null},{"id":"2307.07255","title":"Dialogue Agents 101: A Beginner's Guide to Critical Ingredients for Designing Effective Conversational Systems","created":"2023-07-14","cited_by_count":1,"area":"agents"},{"id":"2307.12221","title":"FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion Recognition","created":"2023-07-23","cited_by_count":1,"area":null},{"id":"2308.06450","title":"ERNetCL: A novel emotion recognition network in textual conversation based on curriculum learning strategy","created":"2023-08-12","cited_by_count":1,"area":null},{"id":"2309.04292","title":"Fuzzy Fingerprinting Transformer Language-Models for Emotion Recognition in Conversations","created":"2023-09-08","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":"2309.09799","title":"Watch the Speakers: A Hybrid Continuous Attribution Network for Emotion Recognition in Conversation With Emotion Disentanglement","created":"2023-09-18","cited_by_count":1,"area":null},{"id":"2401.15164","title":"AMuSE: Adaptive Multimodal Analysis for Speaker Emotion Recognition in Group Conversations","created":"2024-01-26","cited_by_count":1,"area":null},{"id":"2406.04758","title":"Think out Loud: Emotion Deducing Explanation in Dialogues","created":"2024-06-07","cited_by_count":1,"area":null}],"next_cursor":"100"}