{"total":36,"rows":[{"id":"2303.18223","title":"A Survey of Large Language Models","created":"2023-03-31","cited_by_count":2576,"area":null},{"id":"2402.03927","title":"Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs","created":"2024-02-06","cited_by_count":229,"area":null},{"id":"2304.05613","title":"ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning","created":"2023-04-12","cited_by_count":206,"area":null},{"id":"2304.01852","title":"Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models","created":"2023-04-04","cited_by_count":154,"area":null},{"id":"2310.15638","title":"CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation","created":"2023-10-24","cited_by_count":94,"area":null},{"id":"2307.14385","title":"Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data","created":"2023-07-26","cited_by_count":66,"area":null},{"id":"2307.09042","title":"Emotional Intelligence of Large Language Models","created":"2023-07-18","cited_by_count":58,"area":null},{"id":"2403.14814","title":"The opportunities and risks of large language models in mental health","created":"2024-03-21","cited_by_count":54,"area":null},{"id":"2304.03347","title":"Towards Interpretable Mental Health Analysis with Large Language Models","created":"2023-04-06","cited_by_count":53,"area":null},{"id":"2406.05688","title":"Peer Review as A Multi-Turn and Long-Context Dialogue with Role-Based Interactions","created":"2024-06-09","cited_by_count":46,"area":null},{"id":"2405.13001","title":"Large Language Models for Education: A Survey","created":"2024-05-12","cited_by_count":34,"area":null},{"id":"2308.13911","title":"A Wide Evaluation of ChatGPT on Affective Computing Tasks","created":"2023-08-26","cited_by_count":30,"area":null},{"id":"2312.11521","title":"Large Language Models are Complex Table Parsers","created":"2023-12-13","cited_by_count":28,"area":null},{"id":"2304.10447","title":"Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Health","created":"2023-04-20","cited_by_count":25,"area":null},{"id":"2309.01664","title":"Fine-grained Affective Processing Capabilities Emerging from Large Language Models","created":"2023-09-04","cited_by_count":24,"area":null},{"id":"2402.11958","title":"Understanding the Therapeutic Relationship between Counselors and Clients in Online Text-based Counseling using LLMs","created":"2024-02-19","cited_by_count":19,"area":null},{"id":"2307.14107","title":"Decoding ChatGPT: A Taxonomy of Existing Research, Current Challenges, and Possible Future Directions","created":"2023-07-26","cited_by_count":18,"area":null},{"id":"2311.09189","title":"PsyEval: A Suite of Mental Health Related Tasks for Evaluating Large Language Models","created":"2023-11-15","cited_by_count":13,"area":null},{"id":"2310.11753","title":"Bias in Emotion Recognition with ChatGPT","created":"2023-10-18","cited_by_count":11,"area":null},{"id":"2312.04578","title":"Towards a Psychological Generalist AI: A Survey of Current Applications of Large Language Models and Future Prospects","created":"2023-12-01","cited_by_count":8,"area":null},{"id":"2403.14006","title":"On Prompt Sensitivity of ChatGPT in Affective Computing","created":"2024-03-20","cited_by_count":7,"area":null},{"id":"2409.15687","title":"A Comprehensive Evaluation of Large Language Models on Mental Illnesses","created":"2024-09-24","cited_by_count":7,"area":null},{"id":"2307.04648","title":"Can ChatGPT's Responses Boost Traditional Natural Language Processing?","created":"2023-07-06","cited_by_count":6,"area":null},{"id":"2312.04720","title":"From Big to Small Without Losing It All: Text Augmentation with ChatGPT for Efficient Sentiment Analysis","created":"2023-12-07","cited_by_count":6,"area":null},{"id":"2410.08793","title":"On the State of NLP Approaches to Modeling Depression in Social Media: A Post-COVID-19 Outlook","created":"2024-10-11","cited_by_count":6,"area":null},{"id":"2510.04899","title":"Human Behavior Atlas: Benchmarking Unified Psychological and Social Behavior Understanding","created":"2025-10-06","cited_by_count":6,"area":null},{"id":"2307.02313","title":"Utilizing ChatGPT Generated Data to Retrieve Depression Symptoms from Social Media","created":"2023-07-05","cited_by_count":5,"area":null},{"id":"2402.01697","title":"APT-Pipe: A Prompt-Tuning Tool for Social Data Annotation using ChatGPT","created":"2024-01-24","cited_by_count":5,"area":null},{"id":"2505.01542","title":"Emotions in the Loop: A Survey of Affective Computing for Emotional Support","created":"2025-05-02","cited_by_count":5,"area":null},{"id":"2311.09861","title":"ConceptPsy:A Benchmark Suite with Conceptual Comprehensiveness in Psychology","created":"2023-11-16","cited_by_count":2,"area":null},{"id":"2401.03158","title":"CoT-Driven Framework for Short Text Classification: Enhancing and Transferring Capabilities from Large to Smaller Model","created":"2024-01-06","cited_by_count":2,"area":null},{"id":"2505.12114","title":"Behind the Screens: Uncovering Bias in AI-Driven Video Interview Assessments Using Counterfactuals","created":"2025-05-17","cited_by_count":2,"area":null},{"id":"2508.05474","title":"Can Large Language Models Generate Effective Datasets for Emotion Recognition in Conversations?","created":"2025-08-07","cited_by_count":2,"area":null},{"id":"2312.10479","title":"A Soft Contrastive Learning-based Prompt Model for Few-shot Sentiment Analysis","created":"2023-12-16","cited_by_count":1,"area":null},{"id":"2409.15188","title":"PALLM: Evaluating and Enhancing PALLiative Care Conversations with Large Language Models","created":"2024-09-23","cited_by_count":0,"area":null},{"id":"2604.16382","title":"LiFT: How to Enable In-Context Learning for Longitudinal Modelling","created":"2026-03-25","cited_by_count":0,"area":null}],"next_cursor":null}