{"total":77,"rows":[{"id":"2106.07139","title":"Pre-Trained Models: Past, Present and Future","created":"2021-06-14","cited_by_count":319,"area":null},{"id":"2202.06417","title":"A Contrastive Framework for Neural Text Generation","created":"2022-02-13","cited_by_count":225,"area":null},{"id":"2201.06025","title":"COLD: A Benchmark for Chinese Offensive Language Detection","created":"2022-01-16","cited_by_count":76,"area":null},{"id":"2110.08466","title":"On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark","created":"2021-10-16","cited_by_count":73,"area":null},{"id":"2303.10845","title":"PanGu-{\\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing","created":"2023-03-20","cited_by_count":56,"area":null},{"id":"2109.09519","title":"PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generation","created":"2021-09-20","cited_by_count":37,"area":null},{"id":"2202.08011","title":"Towards Identifying Social Bias in Dialog Systems: Frame, Datasets, and Benchmarks","created":"2022-02-16","cited_by_count":36,"area":null},{"id":"2110.04725","title":"Yuan 1.0: Large-Scale Pre-trained Language Model in Zero-Shot and Few-Shot Learning","created":"2021-10-10","cited_by_count":35,"area":null},{"id":"2108.01547","title":"EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training","created":"2021-08-03","cited_by_count":34,"area":null},{"id":"2104.08006","title":"ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation","created":"2021-04-16","cited_by_count":31,"area":null},{"id":"2203.09313","title":"EVA2.0: Investigating Open-Domain Chinese Dialogue Systems with Large-Scale Pre-Training","created":"2022-03-17","cited_by_count":31,"area":null},{"id":"2108.07154","title":"MMChat: Multi-Modal Chat Dataset on Social Media","created":"2021-08-16","cited_by_count":30,"area":null},{"id":"2305.11262","title":"CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models","created":"2023-05-18","cited_by_count":28,"area":null},{"id":"2202.13587","title":"Rethinking and Refining the Distinct Metric","created":"2022-02-28","cited_by_count":27,"area":null},{"id":"2306.08401","title":"LiveChat: A Large-Scale Personalized Dialogue Dataset Automatically Constructed from Live Streaming","created":"2023-06-14","cited_by_count":27,"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":"2105.14556","title":"Diversifying Dialog Generation via Adaptive Label Smoothing","created":"2021-05-30","cited_by_count":25,"area":null},{"id":"2101.11429","title":"TSQA: Tabular Scenario Based Question Answering","created":"2021-01-14","cited_by_count":21,"area":null},{"id":"2105.11903","title":"Towards an Online Empathetic Chatbot with Emotion Causes","created":"2021-05-11","cited_by_count":16,"area":null},{"id":"2302.09270","title":"Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements","created":"2023-02-18","cited_by_count":14,"area":null},{"id":"2304.07849","title":"ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Human","created":"2023-04-16","cited_by_count":14,"area":null},{"id":"2501.13306","title":"OSUM: Advancing Open Speech Understanding Models with Limited Resources in Academia","created":"2025-01-23","cited_by_count":13,"area":null},{"id":"2109.01839","title":"Towards Expressive Communication with Internet Memes: A New Multimodal Conversation Dataset and Benchmark","created":"2021-09-04","cited_by_count":12,"area":null},{"id":"2208.14165","title":"Towards Boosting the Open-Domain Chatbot with Human Feedback","created":"2022-08-30","cited_by_count":11,"area":"alignment"},{"id":"2211.05561","title":"Estimating Soft Labels for Out-of-Domain Intent Detection","created":"2022-11-10","cited_by_count":11,"area":null},{"id":"2305.08200","title":"A Cognitive Stimulation Dialogue System with Multi-source Knowledge Fusion for Elders with Cognitive Impairment","created":"2023-05-14","cited_by_count":10,"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":"2406.07850","title":"Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation","created":"2024-06-12","cited_by_count":10,"area":null},{"id":"2504.15027","title":"DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models","created":"2025-04-21","cited_by_count":10,"area":null},{"id":"2203.17090","title":"PanGu-Bot: Efficient Generative Dialogue Pre-training from Pre-trained Language Model","created":"2022-03-31","cited_by_count":9,"area":null},{"id":"2210.07783","title":"Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue","created":"2022-10-14","cited_by_count":9,"area":null},{"id":"2211.11617","title":"CGoDial: A Large-Scale Benchmark for Chinese Goal-oriented Dialog Evaluation","created":"2022-11-21","cited_by_count":9,"area":null},{"id":"2302.14401","title":"GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue Generation","created":"2023-02-28","cited_by_count":9,"area":null},{"id":"2308.05935","title":"LittleMu: Deploying an Online Virtual Teaching Assistant via Heterogeneous Sources Integration and Chain of Teach Prompts","created":"2023-08-11","cited_by_count":9,"area":null},{"id":"2106.07857","title":"Bilateral Personalized Dialogue Generation with Contrastive Learning","created":"2021-06-15","cited_by_count":8,"area":null},{"id":"2402.18950","title":"PopALM: Popularity-Aligned Language Models for Social Media Trendy Response Prediction","created":"2024-02-29","cited_by_count":8,"area":"alignment"},{"id":"2301.05880","title":"TikTalk: A Video-Based Dialogue Dataset for Multi-Modal Chitchat in Real World","created":"2023-01-14","cited_by_count":7,"area":null},{"id":"2308.05884","title":"PIPPA: A Partially Synthetic Conversational Dataset","created":"2023-08-11","cited_by_count":6,"area":null},{"id":"2403.06063","title":"Target-constrained Bidirectional Planning for Generation of Target-oriented Proactive Dialogue","created":"2024-03-10","cited_by_count":6,"area":null},{"id":"2412.04905","title":"DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling","created":"2024-12-06","cited_by_count":6,"area":null},{"id":"2505.11665","title":"Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks","created":"2025-05-16","cited_by_count":6,"area":null},{"id":"2505.20910","title":"Automated Privacy Information Annotation in Large Language Model Interactions","created":"2025-05-27","cited_by_count":6,"area":null},{"id":"2308.06501","title":"NewsDialogues: Towards Proactive News Grounded Conversation","created":"2023-08-12","cited_by_count":5,"area":null},{"id":"2209.06367","title":"A Review and Roadmap of Deep Learning Causal Discovery in Different Variable Paradigms","created":"2022-09-14","cited_by_count":4,"area":null},{"id":"2305.07393","title":"Prompt Learning to Mitigate Catastrophic Forgetting in Cross-lingual Transfer for Open-domain Dialogue Generation","created":"2023-05-12","cited_by_count":4,"area":null},{"id":"2406.09202","title":"Language Complexity and Speech Recognition Accuracy: Orthographic Complexity Hurts, Phonological Complexity Doesn't","created":"2024-06-13","cited_by_count":4,"area":null},{"id":"2408.09330","title":"Fostering Natural Conversation in Large Language Models with NICO: a Natural Interactive COnversation dataset","created":"2024-08-18","cited_by_count":4,"area":null},{"id":"2412.04871","title":"Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud","created":"2024-12-06","cited_by_count":4,"area":null},{"id":"2106.03065","title":"Semantic-Enhanced Explainable Finetuning for Open-Domain Dialogues","created":"2021-06-06","cited_by_count":3,"area":null},{"id":"2109.06538","title":"Challenging Instances are Worth Learning: Generating Valuable Negative Samples for Response Selection Training","created":"2021-09-14","cited_by_count":3,"area":null},{"id":"2305.13602","title":"ReSee: Responding through Seeing Fine-grained Visual Knowledge in Open-domain Dialogue","created":"2023-05-23","cited_by_count":3,"area":null},{"id":"2401.10353","title":"Inconsistent dialogue responses and how to recover from them","created":"2024-01-18","cited_by_count":3,"area":null},{"id":"2404.03491","title":"A Cause-Effect Look at Alleviating Hallucination of Knowledge-grounded Dialogue Generation","created":"2024-04-04","cited_by_count":3,"area":null},{"id":"2408.16390","title":"MQM-Chat: Multidimensional Quality Metrics for Chat Translation","created":"2024-08-29","cited_by_count":3,"area":null},{"id":"2201.11367","title":"Pan More Gold from the Sand: Refining Open-domain Dialogue Training with Noisy Self-Retrieval Generation","created":"2022-01-27","cited_by_count":2,"area":null},{"id":"2211.00910","title":"PLATO-K: Internal and External Knowledge Enhanced Dialogue Generation","created":"2022-11-02","cited_by_count":2,"area":null},{"id":"2310.13290","title":"Interpreting Indirect Answers to Yes-No Questions in Multiple Languages","created":"2023-10-20","cited_by_count":2,"area":null},{"id":"2405.10251","title":"A Systematic Evaluation of Large Language Models for Natural Language Generation Tasks","created":"2024-05-16","cited_by_count":2,"area":"lr"},{"id":"2503.06029","title":"SmartBench: Is Your LLM Truly a Good Chinese Smartphone Assistant?","created":"2025-03-08","cited_by_count":2,"area":null},{"id":"2509.18395","title":"NormGenesis: Multicultural Dialogue Generation via Exemplar-Guided Social Norm Modeling and Violation Recovery","created":"2025-09-22","cited_by_count":2,"area":null},{"id":"2108.02984","title":"Sentence Semantic Regression for Text Generation","created":"2021-08-06","cited_by_count":1,"area":null},{"id":"2205.05886","title":"A Chit-Chats Enhanced Task-Oriented Dialogue Corpora for Fuse-Motive Conversation Systems","created":"2022-05-12","cited_by_count":1,"area":null},{"id":"2205.14583","title":"Learning Locality and Isotropy in Dialogue Modeling","created":"2022-05-29","cited_by_count":1,"area":null},{"id":"2209.07697","title":"Selecting Stickers in Open-Domain Dialogue through Multitask Learning","created":"2022-09-16","cited_by_count":1,"area":null},{"id":"2211.13050","title":"Semi-Supervised Lifelong Language Learning","created":"2022-11-23","cited_by_count":1,"area":null},{"id":"2304.00884","title":"Dialog-to-Actions: Building Task-Oriented Dialogue System via Action-Level Generation","created":"2023-04-03","cited_by_count":1,"area":null},{"id":"2306.05672","title":"I run as fast as a rabbit, can you? A Multilingual Simile Dialogue Dataset","created":"2023-06-09","cited_by_count":1,"area":null},{"id":"2310.08130","title":"Fine-grained Conversational Decoding via Isotropic and Proximal Search","created":"2023-10-12","cited_by_count":1,"area":null},{"id":"2605.20195","title":"Pseudo-Siamese Network for Planning in Target-Oriented Proactive Dialogues","created":"2026-04-04","cited_by_count":1,"area":null},{"id":"2608.10810","title":"Surfacing the Unsaid: CUE-Bench for Affective Stance in Chinese Discourse","created":"2026-08-11","cited_by_count":1,"area":null},{"id":"2104.11454","title":"Prediction, Selection, and Generation: Exploration of Knowledge-Driven Conversation System","created":"2021-04-23","cited_by_count":0,"area":null},{"id":"2205.11887","title":"Accuracy on In-Domain Samples Matters When Building Out-of-Domain detectors: A Reply to Marek et al. (2021)","created":"2022-05-24","cited_by_count":0,"area":null},{"id":"2206.08626","title":"MSDF: A General Open-Domain Multi-Skill Dialog Framework","created":"2022-06-17","cited_by_count":0,"area":null},{"id":"2301.13683","title":"Friend-training: Learning from Models of Different but Related Tasks","created":"2023-01-31","cited_by_count":0,"area":null},{"id":"2404.19708","title":"Harmonic LLMs are Trustworthy","created":"2024-04-30","cited_by_count":0,"area":null},{"id":"2601.22546","title":"Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation","created":"2026-01-30","cited_by_count":0,"area":"lr"},{"id":"2603.13796","title":"PMIScore: An Unsupervised Approach to Quantify Dialogue Engagement","created":"2026-03-14","cited_by_count":0,"area":null}],"next_cursor":null}