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Aseem Srivastava
Aseem Srivastava
Verified email at iiitd.ac.in - Homepage
Title
Cited by
Cited by
Year
Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations
G Malhotra, A Waheed, A Srivastava, MS Akhtar, T Chakraborty
WSDM 2022: Proceedings of the Fifteenth ACM International Conference on Web …, 2022
372022
A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework
U Lokala, A Srivastava, TG Dastidar, T Chakraborty, MS Akthar, ...
Proceedings of the International AAAI Conference on Web and Social Media (ICWSM), 2022
252022
Response-act guided reinforced dialogue generation for mental health counseling
A Srivastava, I Pandey, MS Akhtar, T Chakraborty
WWW '23: Proceedings of the ACM Web Conference 2023, 1118-1129, 2023
122023
Counseling Summarization using Mental Health Knowledge Guided Utterance Filtering
A Srivastava, T Suresh, S Peregrine, M Akhtar, T Chakraborty
KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge …, 2022
112022
Exploring the efficacy of large language models in summarizing mental health counseling sessions: Benchmark study
PK Adhikary, A Srivastava, S Kumar, SM Singh, P Manuja, JK Gopinath, ...
JMIR Mental Health 11, e57306, 2024
62024
Knowledge Planning in Large Language Models for Domain-Aligned Counseling Summarization
A Srivastava, S Joshi, T Chakraborty, MS Akhtar
EMNLP '24: Proceedings of the 2024 Conference on Empirical Methods in …, 2024
12024
Critical Behavioral Traits Foster Peer Engagement in Online Mental Health Communities
A Srivastava, T Gupta, A Cerezo, S Peregrine, MS Akhtar, T Chakraborty
arXiv preprint arXiv:2309.01618, 2023
12023
Sentiment-guided Commonsense-aware Response Generation for Mental Health Counseling
A Srivastava, G Naik, A Cerezo, T Chakraborty, MS Akhtar
arXiv preprint arXiv:2501.03088, 2025
2025
Trust Modeling in Counseling Conversations: A Benchmark Study
A Srivastava, ZH Shaik, T Chakraborty, MS Akhtar
arXiv preprint arXiv:2501.03064, 2025
2025
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