🧑‍🔬 Who cites Ashish Sharma

158 citations of their works from 158 papers of our library (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · ← Ashish Sharma

1. Can Large Language Models Transform Computational Social Science?Computational LinguisticsCaleb Ziems, William Held, Omar Shaikh, et al.2023 · 790 citations
2. Towards Emotional Support Dialog SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Siyang Liu, Chujie Zheng, Orianna Demasi, et al.2021 · 392 citations
3. Latent Hatred: A Benchmark for Understanding Implicit Hate SpeechConference on Empirical Methods in Natural Language Processing (EMNLP)Mai ElSherief, Caleb Ziems, David Muchlinski, et al.2021 · 367 citations
4. On the Safety of Conversational Models: Taxonomy, Dataset, and BenchmarkFindings of the Association for Computational LinguisticsHao Sun, Guangxuan Xu, Jiawen Deng, et al.2022 · 102 citations
5. Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion CausesConference on Empirical Methods in Natural Language Processing (EMNLP)Hyunwoo Kim, Byeongchang Kim, Gunhee Kim2021 · 90 citations
6. Computational Politeness in Natural Language Processing: A SurveyACM Computing SurveysPriyanshu Priya, Mauajama Firdaus, Asif Ekbal2024 · 34 citations
7. Empathetic BERT2BERT Conversational Model: Learning Arabic Language Generation with Little DataArabic Natural Language Processing Workshop (WANLP)Tarek Naous, Wissam Antoun, Reem Mahmoud, et al.2021 · 20 citations
8. SweetieChat: A Strategy-Enhanced Role-playing Framework for Diverse Scenarios Handling Emotional Support AgentInternational Conference on Computational Linguistics (COLING)Jing Ye, Lu Xiang, Yaping Zhang, et al.2025 · 16 citations
9. DAL Team at PsyDefDetect: From Supervised Encoders to Hierarchical LLM-RAG for Psychological Defense DetectionBioNLPDuc-Luong Tran, Phuong-Anh Chu, Hoang-Dat Do, et al.2026 · 1 citation
10. StoryMI: Steerable Multi-Agent Therapeutic Dialogue GenerationFindings of the Association for Computational LinguisticsQingyu Meng, Min Chen, Dingming Liu, et al.2026 · 1 citation
11. AEQ-Bench: Measuring Empathy of Omni-Modal Large ModelsFindings of the Association for Computational LinguisticsXuan Luo, Lewei Yao, Lanqing Hong, et al.2026
12. Causal-ESC: Reliable Policy Learning for Emotional Support Conversation via Causal InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Xv Wang, Wang Zhenyu, Guanyu Zheng, et al.2026
13. EMPATH: An Ensemble Method for Automatic Fine-Grained Turn-Level Dialogue Empathy Evaluation with a Novel Emotional Distance MetricFindings of the Association for Computational LinguisticsDongning Rao, Zhihua Liang, Zhihua Jiang2026
14. Empathy Applicability Modeling for General Health QueriesFindings of the Association for Computational LinguisticsShan Randhawa, Agha Ali Raza, Kentaro Toyama, et al.2026
15. I Don't Need Solution. I Need Emotional Support : Empathetic LLMs based on Emotional ValidationFindings of the Association for Computational LinguisticsSuhyune Son, Jungwoo Lim, Myunghoon Kang, et al.2026
16. I Understand How You Feel: Enhancing Deeper Emotional Support Through Multilingual Emotional Validation in Dialogue SystemAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Zi Haur Pang, Yahui Fu, Koji Inoue, et al.2026
17. Multilingual KokoroChat: A Multi-LLM Ensemble Translation Method for Creating a Multilingual Counseling Dialogue DatasetLanguage Resources and Evaluation Conference (LREC)Ryoma Suzuki, Zhiyang Qi, Michimasa Inaba2026
18. Who Generates More Empathetic Responses–-Humans or LLMs? A Comparative Evaluation with Human and LLM JudgesConference on Computational Natural Language Learning (CoNLL)Anuradha Welivita, Fawzia Zeitoun, Pearl Pu2026

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