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title: "Social Media Mining for Health Research and Applications"
description: "All 53 papers of Social Media Mining for Health Research and Applications Workshop and Shared Tasks 2026, the most cited first; those with…"
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# Social Media Mining for Health Research and Applications Workshop and Shared Tasks 2026: all accepted papers

53 papers · the most cited first · [← Social Media Mining for Health Research and Applications Workshop and Shared Tasks 2026](https://md.research.elamur.ai/free/en/venues/smm4h/2026/)

1. **[A3S@C-DAC at \#SMM4H-HeaRD 2026: Reasoning Meets Evidence: LLMs for Interpretable Insomnia Detection with Evidence Extraction in Clinical Notes](https://md.research.elamur.ai/free/en/papers/maity-2026-a3s-c-dac-smm4h-heard/)**Abhishek Maity, Amol Shinde, Abhishek Suresh Kushare et al.*our summary*
2. **[ACSS-PSL at \#SMM4H-HeaRD 2026: An LLM-Driven Autoresearch Loop for Opioid-Impact NER ↗](https://aclanthology.org/2026.smm4h-1.39/)**Olivier Caron, Bruno Chaves Ferreira, Christophe Benavent
3. **[BIT.UA at \#SMM4H–HeaRD 2026: Towards Multi-Class Multilingual Clinical Entity Recognition with Multi-Head CRF Ensembles ↗](https://aclanthology.org/2026.smm4h-1.8/)**Richard A. A. Jonker, Sérgio Matos
4. **[Beyond Lexical Similarity: Evaluating Faithfulness in LLM-Based Medical Question Reformulation ↗](https://aclanthology.org/2026.smm4h-1.16/)**Md Rabiul Hasan, Aleka Melese Ayalew, Mourad Oussalah
5. **[Bhramastra at \#SMM4H-HeaRD 2026: A Multi-Stage Hunter-Judge Pipeline using DSPy-Optimized LLMs for Multilingual ADE Detection](https://md.research.elamur.ai/free/en/papers/pachori-2026-bhramastra-smm4h-heard-2026-multi/)**Bhaarat Pachori*our summary*
6. **[BioNLP at \#SMM4H-HeaRD 2026 Task 3 Estimating Flu Vaccine Effectiveness: A Temporal-Aware Fine-Tuning and Similarity-Based Few-Shot Prompting Approach](https://md.research.elamur.ai/free/en/papers/patularu-2026-bionlp-smm4h-heard-2026-task/)**Irina Patularu*our summary*
7. **[CUET_DiagNLP at \#SMM4H-HeaRD 2026: Per-Axis TNM Staging from Pathology Reports and Opioid Impact Span Detection from Social Media ↗](https://aclanthology.org/2026.smm4h-1.30/)**Shuva Dey, Priyangshu Barua, Mohammad Ashfak Habib
8. **[CaresAI at SMM4H-HeaRD 2026: Predicting TNM Staging ↗](https://aclanthology.org/2026.smm4h-1.32/)**Joseph Itopa Abubakar, Jorge Jarme, Favour Igwezeke et al.
9. **[Creative Catalysts at \#SMM4H-HeaRD 2026: XLM-RoBERTa for Task 1 Binary Classification of Social Media Posts Containing Adverse Drug Events ↗](https://aclanthology.org/2026.smm4h-1.40/)**Radja Afren, Hichem Rahab, Imane Guellil
10. **[Cuet_Data_Wizards at \#SMM4H-HeaRD 2026: Multilingual ADE Detection and Influenza Vaccine Effectiveness Estimation from Social Media ↗](https://aclanthology.org/2026.smm4h-1.36/)**Abir Dey, Mohammed Omar Faiaz, Muhammad Ibrahim Khan
11. **[DNT at \#SMM4H–HeaRD 2026: Leveraging BERT-based Encoders and LLMs for Medical Information Extraction](https://md.research.elamur.ai/free/en/papers/tien-2026-dnt-smm4h-heard-2026-leveraging/)**Doan Nhat Tien, Thìn Đặng Văn*our summary*
12. **[DT4H.nl at \#SMM4H-HeaRD 2026: Multilingual Clinical NER with multilingual and monolingual models ↗](https://aclanthology.org/2026.smm4h-1.14/)**Bram van Es
13. **[Discovery@FI at \#SMM4H–HeaRD 2026: Ensemble Character Classifier for Multilingual Clinical NER](https://md.research.elamur.ai/free/en/papers/zelina-2026-discovery-fi-smm4h-heard-2026/)**Petr Zelina, Vit Novacek*our summary*
14. **[Dr-BERT-NL at \#SMM4H–HeaRD 2026: DOKTERBERT – Ontology-Grounded Contextual Representations for Dutch Clinical NLP ↗](https://aclanthology.org/2026.smm4h-1.25/)**Gijs Danoe, Andreas Voss, Axel Hamprecht et al.
15. **[Enigma at \#SMM4H–HeaRD 2026: Leveraging Multilingual Pre-trained Models for Clinical Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/vassileva-2026-enigma-smm4h-heard-2026-leveraging/)**Sylvia Vassileva, Plamena Ilieva, Teodor Svetoslavov Kostadinov et al.*our summary*
16. **[FU-HU-P5 at \#SMM4H-HeaRD 2026: MedSynth Dialogue-to-Note Generation](https://md.research.elamur.ai/free/en/papers/wong-2026-fu-hu-p5-smm4h-heard/)**Jessica Ying En Wong*our summary*
17. **[Gladiators at \#SMM4H–HeaRD 2026: Multi-Seed XLM-RoBERTa Ensemble with Focal Loss and Per-Language Threshold Optimization for Multilingual Adverse Drug Event Detection](https://md.research.elamur.ai/free/en/papers/singh-2026-gladiators-smm4h-heard-2026-multi/)**Ankit Kumar Singh*our summary*
18. **[GoBlueInformatics at \#SMM4H-HeaRD 2026: Long-Context Encoders and Generative Biomedical LLMs for Pathological TNM Stage Prediction](https://md.research.elamur.ai/free/en/papers/wei-2026-goblueinformatics-smm4h-heard-2026-long/)**Shangqing Wei*our summary*
19. **[HALELab-NITK at \#SMM4H-HeaRD2026: Inclusion of Feature Engineering for Detection of Patient Metadata in SARS-CoV2 Sequencing Articles ↗](https://aclanthology.org/2026.smm4h-1.35/)**Aakarsh Bansal, Abhishek Srinivas, Sowmya Kamath S.
20. **[ICB-UMA at \#SMM4H–HeaRD 2026: Hybrid Clinical Entity Projection for MultiClinAI: Adaptive Candidate Windows, XGBoost, and LLM Refinement ↗](https://aclanthology.org/2026.smm4h-1.21/)**Alvaro Rey-Blanes, Sara Giménez-Gómez, Francisco J. Veredas et al.
21. **[IITPatna_ADE at \#SMM4H-HeaRD 2026: Multilingual Adverse Drug Event Detection with LoRA-XLM-RoBERTa, Cross-Fold Ensembles, and Post-hoc Calibration ↗](https://aclanthology.org/2026.smm4h-1.29/)**Sofia Jamil, Manish Singh, Harshal Dharpure et al.
22. **[In2Lab-TNT at \#SMM4H-HeaRD 2026: An Application of QTT's Terminological Entanglement to Leverage Insomnia Detection in Clinical Notes ↗](https://aclanthology.org/2026.smm4h-1.12/)**Antonio Tamayo-Herrera, Giovanny Díaz-Laínes, Carlos Mario Pérez-Pérez et al.
23. **[Infimobius at \#SMM4H-HeaRD 2026: Multi-Seed DeBERTa Ensemble for Flu Vaccination and Testing Status Classification ↗](https://aclanthology.org/2026.smm4h-1.42/)**Pradyumn Kejriwal, Suhani Singh Charan, Raksha Sharma et al.
24. **[LLATMU at \#SMM4H-HeaRD 2026: Clinical Text Structuring with QLoRA-based Generation and Partial-Label TNM Classification ↗](https://aclanthology.org/2026.smm4h-1.10/)**Eric Hsiao, Min-Hsuan Ku, Hsuan-Lei Shao
25. **[LSI_UNED at \#SMM4H–HeaRD 2026: Grid-Based Biomedical Named Entity Recognition Across Languages and Entity Types ↗](https://aclanthology.org/2026.smm4h-1.3/)**Alicia Ramirez-Arrabe, Juan Martinez-Romo, Andres Duque
26. **[Limics at \#SMM4H-HeaRD 2026: Uncertainty-Driven Prediction for ADE Detection in Social Media ↗](https://aclanthology.org/2026.smm4h-1.37/)**Nour Allam
27. **[LotusOrchid at \#SMM4H–HeaRD 2026: Fitting pretrained encoders for Dutch medical data ↗](https://aclanthology.org/2026.smm4h-1.23/)**Sophie Arnoult, Shutao Chen, Piek Vossen
28. **[MedMind AI at \#SMM4H-HeaRD 2026: Data Extraction and Generation Using Prompt Engineering and Structured Outputs (Tasks 1–6)](https://md.research.elamur.ai/free/en/papers/pradhan-2026-medmind-ai-smm4h-heard-2026/)**Aatish Pradhan, Brian M. Habersberger*our summary*
29. **[MetaMiners at SMM4H-HeaRD 2026: A Semantic-Structural Knowledge-Enriched Ensemble for SARS-CoV-2 Metadata Identification](https://md.research.elamur.ai/free/en/papers/ursu-2026-metaminers-smm4h-heard-2026-semantic/)**Claudia-Alexandra Ursu, Alecsandru-Florin Soare*our summary*
30. **[NU_DeepHealthNLP at \#SMM4H-HeaRD 2026: Entity-Conditioned Generation and a Four-Stage Pipeline for Automated SOAP Note Generation](https://md.research.elamur.ai/free/en/papers/santhosh-2026-nu-deephealthnlp-smm4h-heard-2026/)**Thanya Mysore Santhosh, Deahan Yu*our summary*
31. **[No_gmail at \#SMM4H-HeaRD 2026: Detecting Patient Metadata in COVID-19 Scientific Literature: A Comparative Study of Encoder-Only and Autoregressive Language Models ↗](https://aclanthology.org/2026.smm4h-1.46/)**Stefanescu Anastasia
32. **[NoviceTrio in \#SMM4H-HeaRD 2026: Hybrid Clinical Transformer Ensembles for Insomnia Detection and Evidence Extraction from Clinical Notes](https://md.research.elamur.ai/free/en/papers/naskar-2026-novicetrio-smm4h-heard-2026-hybrid/)**Abir Naskar, Mike Conway*our summary*
33. **[Overview of \#SMM4H-HeaRD 2026 - Task 2: Detection of Insomnia in Clinical Notes ↗](https://aclanthology.org/2026.smm4h-1.52/)**Joey Chan, Lauren D. Gryboski, Guillermo Lopez-Garcia et al.
34. **[Overview of \#SMM4H-HeaRD 2026 – Task 6: Predicting TNM staging from pathology reports ↗](https://aclanthology.org/2026.smm4h-1.50/)**Jose Miguel Acitores Cortina, Jacob S. Berkowitz, Nadine A. Friedrich et al.
35. **[Overview of the 11th Social Media Mining for Health (\#SMM4H) and Health Real-World Data (HeaRD) Shared Tasks at ACL 2026 ↗](https://aclanthology.org/2026.smm4h-1.53/)**Guillermo Lopez-Garcia, Jose Miguel Acitores Cortina, Jacob Berkowitz et al.
36. **[PEI at \#SMM4H-HeaRD 2026: Enhancing Patient Metadata Detection via Hypothesis-Conditioned Classification and Paraphrase-Based Data Augmentation](https://md.research.elamur.ai/free/en/papers/zeidi-2026-pei-smm4h-heard-2026-enhancing/)**Farnaz Zeidi, Roman Christof, Farnoush Zeidi et al.*our summary*
37. **[Parallia at \#SMM4H-HeaRD 2026: ClinicalAligner26AM: A Cross-Lingual Aligner for Dataset Translation; Evidences from the MultiClinCorpus Shared Task](https://md.research.elamur.ai/free/en/papers/remy-2026-parallia-smm4h-heard-2026-clinicalaligner26am/)**François Remy*our summary*
38. **[Patient2Paper at \#SMM4H-HeaRD 2026: Retrieval-Augmented Few-Shot Generation for Clinical Note Synthesis ↗](https://aclanthology.org/2026.smm4h-1.11/)**Ioan-Tudor-Alexandru Anghel, Timotei Andrei, Comârdici Marian Bogdan et al.
39. **[Prestige at \#SMM4H-HeaRD 2026: Binary Insomnia Classification from Clinical Notes Using LLMs with Chain-of-Thought Reasoning ↗](https://aclanthology.org/2026.smm4h-1.5/)**Oyindolapo O. Komolafe
40. **[RACAI at \#SMM4H-HeaRD: Named Entity Recognition for Detecting the Impacts of Drug Abuse in Social Media Posts: Zero-Shot and Fine-Tuning Approaches ↗](https://aclanthology.org/2026.smm4h-1.20/)**Tiberiu Boros, Radu-Gabriel Chivereanu
41. **[SIEMENS at \#SMM4H–HeaRD 2026: The Impact of Training Strategy and Backbone Selection on BERT-based Multilingual Clinical NER ↗](https://aclanthology.org/2026.smm4h-1.34/)**Manuela Daniela Danu
42. **[SINAI at \#SMM4H–HeaRD 2026: Multilingual Clinical NER with MrBERT-biomed and Optuna Hyperparameter Optimization](https://md.research.elamur.ai/free/en/papers/pinar-2026-sinai-smm4h-heard-2026-multilingual/)**Lucas Molino Piñar, Manuel Carlos Diaz-Galiano, María-Teresa Martín-Valdivia*our summary*
43. **[SMMTech at \#SMM4H-HeaRD 2026: Detection of Insomnia in Clinical Notes ↗](https://aclanthology.org/2026.smm4h-1.15/)**Emilia-Ioana Cristea
44. **[Team Gazoo! at \#SMM4H-HeaRD 2026: Zero-Training NER via Iterative LLM Prompt Self-Optimization for Opioid Impact Span Detection ↗](https://aclanthology.org/2026.smm4h-1.6/)**Diego Estuar
45. **[Team Paradise at \#SMM4H-HeaRD 2026: Multi-Task Approaches for Social Media Health Mining ↗](https://aclanthology.org/2026.smm4h-1.48/)**Dhruv Goyal, Ishita Gupta, Jatin Bedi
46. **[Team TIET at \#SMM4H-HeaRD 2026: Fine-tuned Biomedical Transformers with Language-Balanced Sampling for Patient Metadata and Multilingual ADE Detection ↗](https://aclanthology.org/2026.smm4h-1.44/)**Divrose Kaur, Jatin Bedi, Jasmeet Singh
47. **[The MultiClinAI Shared Task on Multilingual Clinical Corpus Construction and Concept Extraction: Systems, Evaluation, and Datasets ↗](https://aclanthology.org/2026.smm4h-1.49/)**Fernando Gallego Donoso, Salvador Lima-Lopez, Judith Rosell et al.
48. **[Thunderbolts at \#SMM4H-HeaRD 2026: Detection of Insomnia in Clinical Notes using Transformers ↗](https://aclanthology.org/2026.smm4h-1.43/)**Guddanti Venkata Sree Charan, Nama Sri Shashank, Raksha Sharma et al.
49. **[URJC-Team at \#SMM4H-HeaRD 2026: TNM Stage Extraction with a Regex-LLM Workflow](https://md.research.elamur.ai/free/en/papers/madrueno-2026-urjc-team-smm4h-heard-2026/)**Natalia Madrueño, Jose Walter Hernández Pérez, Rubén R. Fernández et al.*our summary*
50. **[Understanding the Sociocultural Dimensions of Mental Health Discourse in Arabic X Communities](https://md.research.elamur.ai/free/en/papers/alqahtani-2026-understanding-sociocultural-dimensions-mental-health/)**Amal Abdullah Alqahtani, Rana Aref Salama, Mona T. Diab*our summary*
51. **[Vasudev Awatramani at \#SMM4H-HeaRD 2026: A Two-Pass LLM Pipeline with Deterministic Rule Derivation for Interpretable Insomnia Detection in Clinical Notes ↗](https://aclanthology.org/2026.smm4h-1.26/)**Vasudev Awatramani
52. **[Vinland_Vector at \#SMM4H-HeaRD 2026: Multilingual ADE Detection and Query-Augmented Clinical NER for English ↗](https://aclanthology.org/2026.smm4h-1.33/)**Nirjhar Das, Rathijit Aich, Mahfuzulhoq Chowdhury
53. **[blue at SMM4H-HeaRD 2026: Class-Weighted Transformer Ensembles with Structured Decoding and Chain-of-Thought Blending across Six Health NLP Shared Tasks](https://md.research.elamur.ai/free/en/papers/sharma-2026-blue-smm4h-heard-2026-class/)**Krish Sharma, Rhea Singhal, Jatin Bedi*our summary*
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