{"total":23,"rows":[{"id":"2109.13070","title":"Controllable Neural Dialogue Summarization with Personal Named Entity Planning","created":"2021-09-27","cited_by_count":36,"area":null},{"id":"2312.17257","title":"Personalized Large Language Model Assistant with Evolving Conditional Memory","created":"2023-12-22","cited_by_count":25,"area":null},{"id":"2406.10278","title":"Prompt-Based Length Controlled Generation with Multiple Control Types","created":"2024-06-12","cited_by_count":19,"area":null},{"id":"2106.05894","title":"Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation","created":"2021-06-10","cited_by_count":16,"area":null},{"id":"2203.03047","title":"Recent Advances in Neural Text Generation: A Task-Agnostic Survey","created":"2022-03-06","cited_by_count":14,"area":null},{"id":"2308.12030","title":"Prompt-Based Length Controlled Generation with Reinforcement Learning","created":"2023-08-23","cited_by_count":14,"area":null},{"id":"2206.09158","title":"A Double-Graph Based Framework for Frame Semantic Parsing","created":"2022-06-18","cited_by_count":10,"area":null},{"id":"2203.08517","title":"TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge","created":"2022-03-16","cited_by_count":9,"area":null},{"id":"2209.03632","title":"AARGH! End-to-end Retrieval-Generation for Task-Oriented Dialog","created":"2022-09-08","cited_by_count":8,"area":null},{"id":"2106.06528","title":"Local Explanation of Dialogue Response Generation","created":"2021-06-11","cited_by_count":7,"area":null},{"id":"2109.06717","title":"Controllable Dialogue Generation with Disentangled Multi-grained Style Specification and Attribute Consistency Reward","created":"2021-09-14","cited_by_count":5,"area":null},{"id":"2205.07352","title":"Long-term Control for Dialogue Generation: Methods and Evaluation","created":"2022-05-15","cited_by_count":5,"area":null},{"id":"2404.02505","title":"Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation","created":"2024-04-03","cited_by_count":5,"area":null},{"id":"2108.12582","title":"Distilling the Knowledge of Large-scale Generative Models into Retrieval Models for Efficient Open-domain Conversation","created":"2021-08-28","cited_by_count":4,"area":null},{"id":"2112.06723","title":"Understanding and Improving the Exemplar-based Generation for Open-domain Conversation","created":"2021-12-13","cited_by_count":3,"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":"2311.09593","title":"Multi-Step Dialogue Workflow Action Prediction","created":"2023-11-16","cited_by_count":2,"area":null},{"id":"2205.10558","title":"CORAL: Contextual Response Retrievability Loss Function for Training Dialog Generation Models","created":"2022-05-21","cited_by_count":1,"area":null},{"id":"2305.14919","title":"Frugal Prompting for Dialog Models","created":"2023-05-24","cited_by_count":1,"area":null},{"id":"2507.20398","title":"Length Representations in Large Language Models","created":"2025-07-27","cited_by_count":1,"area":null},{"id":"2112.02246","title":"Controllable Response Generation for Assistive Use-cases","created":"2021-12-04","cited_by_count":0,"area":null},{"id":"2305.10096","title":"Use of a Taxonomy of Empathetic Response Intents to Control and Interpret Empathy in Neural Chatbots","created":"2023-05-17","cited_by_count":0,"area":null},{"id":"2604.01671","title":"PRCCF: A Persona-guided Retrieval and Causal-aware Cognitive Filtering Framework for Emotional Support Conversation","created":"2026-04-02","cited_by_count":0,"area":null}],"next_cursor":null}