📰 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

1. A3S@C-DAC at \#SMM4H-HeaRD 2026: Reasoning Meets Evidence: LLMs for Interpretable Insomnia Detection with Evidence Extraction in Clinical NotesAbhishek 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 ↗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 ↗Richard A. A. Jonker, Sérgio Matos
4. Beyond Lexical Similarity: Evaluating Faithfulness in LLM-Based Medical Question Reformulation ↗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 DetectionBhaarat Pachoriour summary
6. BioNLP at \#SMM4H-HeaRD 2026 Task 3 Estimating Flu Vaccine Effectiveness: A Temporal-Aware Fine-Tuning and Similarity-Based Few-Shot Prompting ApproachIrina Patularuour summary
7. CUET_DiagNLP at \#SMM4H-HeaRD 2026: Per-Axis TNM Staging from Pathology Reports and Opioid Impact Span Detection from Social Media ↗Shuva Dey, Priyangshu Barua, Mohammad Ashfak Habib
8. CaresAI at SMM4H-HeaRD 2026: Predicting TNM Staging ↗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 ↗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 ↗Abir Dey, Mohammed Omar Faiaz, Muhammad Ibrahim Khan
11. DNT at \#SMM4H–HeaRD 2026: Leveraging BERT-based Encoders and LLMs for Medical Information ExtractionDoan Nhat Tien, Thìn Đặng Vănour summary
12. DT4H.nl at \#SMM4H-HeaRD 2026: Multilingual Clinical NER with multilingual and monolingual models ↗Bram van Es
13. Discovery@FI at \#SMM4H–HeaRD 2026: Ensemble Character Classifier for Multilingual Clinical NERPetr Zelina, Vit Novacekour summary
14. Dr-BERT-NL at \#SMM4H–HeaRD 2026: DOKTERBERT – Ontology-Grounded Contextual Representations for Dutch Clinical NLP ↗Gijs Danoe, Andreas Voss, Axel Hamprecht et al.
15. Enigma at \#SMM4H–HeaRD 2026: Leveraging Multilingual Pre-trained Models for Clinical Named Entity RecognitionSylvia Vassileva, Plamena Ilieva, Teodor Svetoslavov Kostadinov et al.our summary
16. FU-HU-P5 at \#SMM4H-HeaRD 2026: MedSynth Dialogue-to-Note GenerationJessica Ying En Wongour 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 DetectionAnkit Kumar Singhour summary
18. GoBlueInformatics at \#SMM4H-HeaRD 2026: Long-Context Encoders and Generative Biomedical LLMs for Pathological TNM Stage PredictionShangqing Weiour summary
19. HALELab-NITK at \#SMM4H-HeaRD2026: Inclusion of Feature Engineering for Detection of Patient Metadata in SARS-CoV2 Sequencing Articles ↗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 ↗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 ↗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 ↗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 ↗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 ↗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 ↗Alicia Ramirez-Arrabe, Juan Martinez-Romo, Andres Duque
26. Limics at \#SMM4H-HeaRD 2026: Uncertainty-Driven Prediction for ADE Detection in Social Media ↗Nour Allam
27. LotusOrchid at \#SMM4H–HeaRD 2026: Fitting pretrained encoders for Dutch medical data ↗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)Aatish Pradhan, Brian M. Habersbergerour summary
29. MetaMiners at SMM4H-HeaRD 2026: A Semantic-Structural Knowledge-Enriched Ensemble for SARS-CoV-2 Metadata IdentificationClaudia-Alexandra Ursu, Alecsandru-Florin Soareour summary
30. NU_DeepHealthNLP at \#SMM4H-HeaRD 2026: Entity-Conditioned Generation and a Four-Stage Pipeline for Automated SOAP Note GenerationThanya Mysore Santhosh, Deahan Yuour 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 ↗Stefanescu Anastasia
32. NoviceTrio in \#SMM4H-HeaRD 2026: Hybrid Clinical Transformer Ensembles for Insomnia Detection and Evidence Extraction from Clinical NotesAbir Naskar, Mike Conwayour summary
33. Overview of \#SMM4H-HeaRD 2026 - Task 2: Detection of Insomnia in Clinical Notes ↗Joey Chan, Lauren D. Gryboski, Guillermo Lopez-Garcia et al.
34. Overview of \#SMM4H-HeaRD 2026 – Task 6: Predicting TNM staging from pathology reports ↗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 ↗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 AugmentationFarnaz 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 TaskFrançois Remyour summary
38. Patient2Paper at \#SMM4H-HeaRD 2026: Retrieval-Augmented Few-Shot Generation for Clinical Note Synthesis ↗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 ↗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 ↗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 ↗Manuela Daniela Danu
42. SINAI at \#SMM4H–HeaRD 2026: Multilingual Clinical NER with MrBERT-biomed and Optuna Hyperparameter OptimizationLucas Molino Piñar, Manuel Carlos Diaz-Galiano, María-Teresa Martín-Valdiviaour summary
43. SMMTech at \#SMM4H-HeaRD 2026: Detection of Insomnia in Clinical Notes ↗Emilia-Ioana Cristea
44. Team Gazoo! at \#SMM4H-HeaRD 2026: Zero-Training NER via Iterative LLM Prompt Self-Optimization for Opioid Impact Span Detection ↗Diego Estuar
45. Team Paradise at \#SMM4H-HeaRD 2026: Multi-Task Approaches for Social Media Health Mining ↗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 ↗Divrose Kaur, Jatin Bedi, Jasmeet Singh
47. The MultiClinAI Shared Task on Multilingual Clinical Corpus Construction and Concept Extraction: Systems, Evaluation, and Datasets ↗Fernando Gallego Donoso, Salvador Lima-Lopez, Judith Rosell et al.
48. Thunderbolts at \#SMM4H-HeaRD 2026: Detection of Insomnia in Clinical Notes using Transformers ↗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 WorkflowNatalia Madrueño, Jose Walter Hernández Pérez, Rubén R. Fernández et al.our summary
50. Understanding the Sociocultural Dimensions of Mental Health Discourse in Arabic X CommunitiesAmal Abdullah Alqahtani, Rana Aref Salama, Mona T. Diabour summary
51. Vasudev Awatramani at \#SMM4H-HeaRD 2026: A Two-Pass LLM Pipeline with Deterministic Rule Derivation for Interpretable Insomnia Detection in Clinical Notes ↗Vasudev Awatramani
52. Vinland_Vector at \#SMM4H-HeaRD 2026: Multilingual ADE Detection and Query-Augmented Clinical NER for English ↗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 TasksKrish Sharma, Rhea Singhal, Jatin Bediour summary

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