---
title: "Who cites Shekoofeh Azizi — page 2 — 801 papers of our library"
description: "801 papers of the Elamur Research library cite the works of Shekoofeh Azizi, found in their bibliographies · page 2 of 2 · 101–192; the most…"
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---
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# Who cites Shekoofeh Azizi

1,001 citations of their works from 801 papers of our library (of the 149,439 whose bibliographies we read) · 192 with a page here, the most cited first · page 2 of 2 · 101–192 · [← Shekoofeh Azizi](https://md.research.elamur.ai/free/en/authors/shekoofeh-azizi/)

[← prev](https://md.research.elamur.ai/free/en/authors/shekoofeh-azizi/cited-by/) [1](https://md.research.elamur.ai/free/en/authors/shekoofeh-azizi/cited-by/) **2**

101. **[From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical Calculations](https://md.research.elamur.ai/free/en/papers/wang-2025-scores-steps-diagnosing-improving-llm/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Benlu Wang, Iris Xia, Yifan Zhang, et al.*2025 · 5 citations*
102. **[Growing Through Experience: Scaling Episodic Grounding in Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2025-growing-through-experience-scaling-episodic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chunhui Zhang, Sirui Wang, Zhongyu Ouyang, et al.*2025 · 5 citations*
103. **[Patient-Similarity Cohort Reasoning in Clinical Text-to-SQL](https://md.research.elamur.ai/free/en/papers/shen-2026-patient-similarity-cohort-reasoning-clinical/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yifei Shen, Yilun Zhao, Justice Ou, et al.*2026 · 4 citations*
104. **[Evaluating Large Language Models on Health-Related Claims Across Arabic Dialects](https://md.research.elamur.ai/free/en/papers/alharbi-2025-evaluating-large-language-models-health/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Abdulsalam obaid Alharbi, Abdullah Alsuhaibani, Abdulrahman Abdullah Alalawi, et al.*2025 · 4 citations*
105. **[PuxAI at QIAS 2025: Multi-Agent Retrieval-Augmented Generation for Islamic Inheritance and Knowledge Reasoning](https://md.research.elamur.ai/free/en/papers/phuc-2025-puxai-qias-2025-multi-agent/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Nguyen Xuan Phuc, Thìn Đặng Văn*2025 · 4 citations*
106. [**Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale arXiv:2603.25040**Yicheng Zou, Dongsheng Zhu, Lin Zhu, et al.*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/zou-2026-intern-s1-pro-scientific/)
107. **[MedQA-CS: Objective Structured Clinical Examination (OSCE)-Style Benchmark for Evaluating LLM Clinical Skills](https://md.research.elamur.ai/free/en/papers/yao-2026-medqa-cs-objective-structured-clinical/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Zonghai Yao, Zihao Zhang, Chaolong Tang, et al.*2026 · 3 citations*
108. [**Baichuan-M3: Modeling Clinical Inquiry for Reliable Medical Decision-Making arXiv:2602.06570**Chengfeng Dou, Fan Yang, Fei Li, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/team-2026-m3-baichuan-m3-modeling-clinical/)
109. **[CCD: Mitigating Hallucinations in Radiology MLLMs via Clinical Contrastive Decoding](https://md.research.elamur.ai/free/en/papers/zhang-2026-ccd-mitigating-hallucinations-radiology-mllms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xi Zhang, Zaiqiao Meng, Jake Lever, et al.*2026 · 2 citations*
110. **[MedMCP-Calc: Benchmarking LLMs for Realistic Medical Calculator Scenarios via MCP Integration](https://md.research.elamur.ai/free/en/papers/zhu-2026-medmcp-calc-benchmarking-llms-realistic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yakun Zhu, Yutong Huang, Shengqian Qin, et al.*2026 · 2 citations*
111. **[Mind the Gap: Benchmarking LLM Uncertainty and Calibration with Specialty-Aware Clinical QA and Reasoning-Based Behavioural Features](https://md.research.elamur.ai/free/en/papers/testoni-2026-mind-gap-benchmarking-llm-uncertainty/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Alberto Testoni, Iacer Calixto*2026 · 2 citations*
112. **[Persona Jailbreaking in Large Language Models](https://md.research.elamur.ai/free/en/papers/sandhan-2026-persona-jailbreaking-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jivnesh Sandhan, Fei Cheng, Tushar Sandhan, et al.*2026 · 2 citations*
113. **[Addressing the Ecological Fallacy in Larger LMs with Human Context](https://md.research.elamur.ai/free/en/papers/soni-2026-addressing-ecological-fallacy-larger-lms/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Nikita Soni, Dhruv Vijay Kunjadiya, Pratham Piyush Shah, et al.*2026 · 1 citation*
114. **[BDI at MEDIQA-EVAL 2026: A ReAct-Style Multimodal Agent for Fine-Grained Medical Response Assessment](https://md.research.elamur.ai/free/en/papers/xu-2026-bdi-mediqa-eval-2026-react/) [Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC](https://md.research.elamur.ai/free/en/venues/clinicalnlp/)**Justin Xu, Zizheng Zhang, Augustine Luk, et al.*2026 · 1 citation*
115. **[Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation](https://md.research.elamur.ai/free/en/papers/wu-2026-beyond-crowd-llm-augmented-community/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiaying Wu, Zihang Fu, Haonan Wang, et al.*2026 · 1 citation*
116. **[ClinDet-Bench: Beyond Abstention, Evaluating Judgment Determinability of LLMs in Clinical Decision-Making](https://md.research.elamur.ai/free/en/papers/watanabe-2026-clindet-bench-beyond-abstention-evaluating/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yusuke Watanabe, Yohei Kobashi, Takeshi Kojima, et al.*2026 · 1 citation*
117. **[CPR-RAG: Clinical Prior-Regularized Retrieval for Anatomy-Aware 3D CT Report Generation](https://md.research.elamur.ai/free/en/papers/yang-2026-cpr-rag-clinical-prior-regularized/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sungkyu Yang, Kang-Min Kim, Mansu Kim*2026 · 1 citation*
118. **[CPTCoder: A Reliable LLM System for Medical Procedure Code Prediction](https://md.research.elamur.ai/free/en/papers/wang-2026-cptcoder-reliable-llm-system-medical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Benlu Wang, Ziyao Shangguan, Kyle Tegtmeyer, et al.*2026 · 1 citation*
119. **[Cross-Lingual Empirical Evaluation of Large Language Models for Arabic Medical Tasks](https://md.research.elamur.ai/free/en/papers/abouzahir-2026-cross-lingual-empirical-evaluation-large/) [Workshop on Linguistic Analysis for Health](https://md.research.elamur.ai/free/en/venues/healing/)**Chaimae Abouzahir, Congbo Ma, Nizar Habash, et al.*2026 · 1 citation*
120. **[Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training](https://md.research.elamur.ai/free/en/papers/yang-2026-data-mixing-agent-learning-re/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kailai Yang, Xiao Liu, Lei Ji, et al.*2026 · 1 citation*
121. **[Dialectic-Med: Mitigating Diagnostic Hallucinations via Counterfactual Adversarial Multi-Agent Debate](https://md.research.elamur.ai/free/en/papers/lu-2026-dialectic-med-mitigating-diagnostic-hallucinations/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhixiang Lu, Jionglong Su*2026 · 1 citation*
122. **[Do Clinical Question Answering Systems Really Need Specialised Medical Fine Tuning?](https://md.research.elamur.ai/free/en/papers/ray-2026-do-clinical-question-answering-systems/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Sushant Kumar Ray, Gautam Siddharth Kashyap, Sahil Tripathi, et al.*2026 · 1 citation*
123. **[Do Mixed-Vendor Multi-Agent LLMs Improve Clinical Diagnosis?](https://md.research.elamur.ai/free/en/papers/yuan-2026-do-mixed-vendor-multi-agent/) [Workshop on Linguistic Analysis for Health](https://md.research.elamur.ai/free/en/venues/healing/)**Grace Chang Yuan, Xiaoman Zhang, Sung Eun Kim, et al.*2026 · 1 citation*
124. **[EchoVLM: Dynamic Mixture-of-Experts Vision-Language Model for Universal Ultrasound Intelligence](https://md.research.elamur.ai/free/en/papers/she-2026-echovlm-dynamic-mixture-experts-vision/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chaoyin She, Ruifang Lu, Lida Chen, et al.*2026 · 1 citation*
125. **[Gladiator at MEDIQA-SYNUR 2026: Contextual Clinical Extraction: Integrating Foundation Models with Domain-Specific Validation Rules](https://md.research.elamur.ai/free/en/papers/pusapati-2026-gladiator-mediqa-synur-2026-contextual/) [Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC](https://md.research.elamur.ai/free/en/venues/clinicalnlp/)**Siva Satyanarayana Raju Pusapati, Ankit Singh*2026 · 1 citation*
126. **[How Robust Are Large Language Models for Clinical Numeracy? An Empirical Study on Numerical Reasoning Abilities in Clinical Contexts](https://md.research.elamur.ai/free/en/papers/nguyen-2026-how-robust-are-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Minh-Vuong Nguyen, Fatemeh Shiri, Zhuang Li, et al.*2026 · 1 citation*
127. **[MMErroR: A Benchmark for Erroneous Reasoning in Vision-Language Models](https://md.research.elamur.ai/free/en/papers/shi-2026-mmerror-benchmark-erroneous-reasoning-vision/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yang Shi, Yifeng Xie, Minzhe Guo, et al.*2026 · 1 citation*
128. **[Modeling Clinical Uncertainty in Radiology Reports: From Explicit Uncertainty Markers to Implicit Reasoning Pathways](https://md.research.elamur.ai/free/en/papers/rabaey-2026-modeling-clinical-uncertainty-radiology-reports/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Paloma Rabaey, Jong Hak Moon, Jung-Oh Lee, et al.*2026 · 1 citation*
129. **[Otter at MedExAct2026: Diverse Encoder Ensemble for Medical Decision Span Detection](https://md.research.elamur.ai/free/en/papers/lowphansirikul-2026-otter-medexact2026-diverse-encoder-ensemble/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Lalita Lowphansirikul, Piyalitt Ittichaiwong*2026 · 1 citation*
130. **[RA-RRG: Multimodal Retrieval-Augmented Radiology Report Generation with Key Phrase Extraction](https://md.research.elamur.ai/free/en/papers/park-2026-ra-rrg-multimodal-retrieval-augmented/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jonggwon Park, Byungmu Yoon, Soobum Kim, et al.*2026 · 1 citation*
131. **[Reasoning or Knowledge: Stratified Evaluation of Biomedical LLMs](https://md.research.elamur.ai/free/en/papers/thapa-2026-reasoning-or-knowledge-stratified-evaluation/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Rahul Thapa, Qingyang Wu, Kevin Wu, et al.*2026 · 1 citation*
132. **[Smart_solutions at MEDIQA-SYNUR 2026: A Multi-Stage LLM Pipeline for Nursing Observation Extraction](https://md.research.elamur.ai/free/en/papers/munjal-2026-smart-solutions-mediqa-synur-2026/) [Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC](https://md.research.elamur.ai/free/en/venues/clinicalnlp/)**Prateek Munjal*2026 · 1 citation*
133. **[Tracing Multilingual Knowledge Acquisition Dynamics in Domain Adaptation: A Case Study of Biomedical Adaptation](https://md.research.elamur.ai/free/en/papers/zhao-2026-tracing-multilingual-knowledge-acquisition-dynamics/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Xin Zhao, Naoki Yoshinaga, Yuma Tsuta, et al.*2026 · 1 citation*
134. **[User Perceptions vs. Proxy LLM Judges: Privacy and Helpfulness in LLM Responses to Privacy-Sensitive Scenarios](https://md.research.elamur.ai/free/en/papers/wu-2026-user-perceptions-vs-proxy-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoyuan Wu, Roshni Kaushik, Wenkai Li, et al.*2026 · 1 citation*
135. **[When Retrieval Doesn't Help: A Large-Scale Study of Biomedical RAG](https://md.research.elamur.ai/free/en/papers/nourbakhsh-2026-when-retrieval-doesn-t-help/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Erfan Nourbakhsh, Rocky Slavin, Ke Yang, et al.*2026 · 1 citation*
136. **[AraEval: An Arabic Multi-Task Evaluation Suite for Large Language Models](https://md.research.elamur.ai/free/en/papers/althnian-2025-araeval-arabic-multi-task-evaluation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alhanoof Althnian, Norah A. Alzahrani, Shaykhah Z. Alsubaie, et al.*2025 · 1 citation*
137. **[AraMinds at AraHealthQA 2025: A Retrieval-Augmented Generation System for Fine-Grained Classification and Answer Generation of Arabic Mental Health Q&A](https://md.research.elamur.ai/free/en/papers/zaytoon-2025-araminds-arahealthqa-2025-retrieval-augmented/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Mohamed Zaytoon, Ahmed Mahmoud Salem, Ahmed Sakr, et al.*2025 · 1 citation*
138. **[MedGapGab at AraHealthQA: Modular LLM Assignment for Gaps and Gabs in Arabic Medical Question Answering](https://md.research.elamur.ai/free/en/papers/hikal-2025-medgapgab-arahealthqa-modular-llm-assignment/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Baraa Hikal*2025 · 1 citation*
139. **[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/) [Social Media Mining for Health Research and Applications Workshop and Shared Tasks](https://md.research.elamur.ai/free/en/venues/smm4h/)**Abhishek Maity, Amol Shinde, Abhishek Suresh Kushare, et al.*2026*
140. **[AIDA-SEAT: Towards Reliable AI Doctor Assistant via State-Evaluation-Action Tree Enhanced LLMs in Online Hospital](https://md.research.elamur.ai/free/en/papers/sun-2026-aida-seat-reliable-ai-doctor/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lianxin Sun, Xiaoying Ying, Guangya Yu, et al.*2026*
141. **[Applicability Condition Extraction for Therapeutic Drug-Disease Relations](https://md.research.elamur.ai/free/en/papers/luo-2026-applicability-condition-extraction-therapeutic-drug/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Guanting Luo, Noriki Nishida, Yuji Matsumoto, et al.*2026*
142. **[Aurum at CRF Filling 2026: Modular DSPy Extractors with Qwen3-Max for Multilingual CRF Filling](https://md.research.elamur.ai/free/en/papers/ulli-2026-aurum-crf-filling-2026-modular/) [Workshop on Patient-Oriented Language Processing @ LREC](https://md.research.elamur.ai/free/en/venues/cl4health/)**Vinay Babu Ulli, Jyoti Kumari, Anindita Mondal*2026*
143. **[Beyond Single View: A Comprehensive Benchmark for Medical Multimodal Large Language Models on Multi-Image Understanding](https://md.research.elamur.ai/free/en/papers/xu-2026-beyond-single-view-comprehensive-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dexuan Xu, Yuan Jiayin, Jianing Wang, et al.*2026*
144. [**Bridging the English-Arabic Medical Knowledge Gap: Targeted Low-Rank Adaptation via Causal Layer Selection arXiv:2608.00207 · Findings of the Association for Computational Linguistics: EMNLP 2026**Chaimae Abouzahir, Musa Khan, Hala Ali-Hassan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/abouzahir-2026-bridging-english-arabic-medical-knowledge/)
145. **[CAMEC: Complexity-Aware Multi-Expert Collaboration for Reliable Chinese Medical Question Answering](https://md.research.elamur.ai/free/en/papers/wu-2026-camec-complexity-aware-multi-expert/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yukang Wu, Xiyuan Jia, Jiayi Wu, et al.*2026*
146. **[Can LLMs Reason Like Doctors? Exploring the Limits of Large Language Models in Complex Medical Reasoning](https://md.research.elamur.ai/free/en/papers/merenda-2026-can-llms-reason-like-doctors/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Flavio Merenda, Jose Manuel Gomez-Perez, German Rigau*2026*
147. **[Comparative Evaluation of AI-Generated vs. Expert-written Answer Explanations for a Medical Education Self-Assessment](https://md.research.elamur.ai/free/en/papers/zhou-2026-comparative-evaluation-ai-generated-vs/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Yiyun Zhou, Francis O'Donnell, Victoria Yaneva*2026*
148. **[Compressed Representations of Patient Records: A Comparative Study of Template-Based and LLM-Based Methods for Clinical Data Summarization and Visualization](https://md.research.elamur.ai/free/en/papers/stockl-2026-compressed-representations-patient-records-comparative/) [Workshop on Patient-Oriented Language Processing @ LREC](https://md.research.elamur.ai/free/en/venues/cl4health/)**Andreas Stöckl, Oliver Krauss, Sophie Bauernfeind*2026*
149. **[Compressing Language Models for Specialized Domains](https://md.research.elamur.ai/free/en/papers/williams-2026-compressing-language-models-specialized-domains/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Miles Williams, George Chrysostomou, Vitor Amancio Jeronymo, et al.*2026*
150. **[CrossDDI: Cross-Source Evidence-Grounded Drug-Drug Interaction Verification](https://md.research.elamur.ai/free/en/papers/wang-2026-crossddi-cross-source-evidence-grounded/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Hui Wang, Bohao Chu, Norbert Fuhr*2026*
151. **[Datasets for a Chatbot for Clinical Trial Search](https://md.research.elamur.ai/free/en/papers/yang-2026-datasets-chatbot-clinical-trial-search/) [Workshop on Patient-Oriented Language Processing @ LREC](https://md.research.elamur.ai/free/en/venues/cl4health/)**Yumeng Yang, Ethan Ludmir, Kirk Roberts*2026*
152. **[DeepICD-R1: Medical Reasoning through Hierarchical Rewards and Unsupervised Distillation](https://md.research.elamur.ai/free/en/papers/rohr-2026-deepicd-r1-medical-reasoning-through/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Tom Röhr, Thomas Maximilian Josef Steffek, Roman Teucher, et al.*2026*
153. **[DIMAS-OMOP: A Deliberative Intelligence-Based Multi-Agent System for Chinese Medical Text Standardization toward OMOP](https://md.research.elamur.ai/free/en/papers/lv-2026-dimas-omop-deliberative-intelligence-based/) [Workshop on Multilinguality in the Era of Large Language Models](https://md.research.elamur.ai/free/en/venues/mellm/)**Hanlin Lv, Xiao Wang, Kesong Wu, et al.*2026*
154. **[DocUA at CRF Filling 2026: LLM StructCore –- Schema-Guided Reasoning Condensation and Deterministic Compilation](https://md.research.elamur.ai/free/en/papers/zabolotnii-2026-docua-crf-filling-2026-llm/) [Workshop on Patient-Oriented Language Processing @ LREC](https://md.research.elamur.ai/free/en/venues/cl4health/)**Serhii Zabolotnii*2026*
155. **[Evaluating the Pre-Consultation Ability of LLMs using Diagnostic Guidelines](https://md.research.elamur.ai/free/en/papers/seo-2026-evaluating-pre-consultation-ability-llms/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Jean Seo, Gibaeg Kim, Kihun Shin, et al.*2026*
156. **[Exploiting Tree Structure for Credit Assignment in Reinforcement Learning with Large Language Models](https://md.research.elamur.ai/free/en/papers/tran-2026-exploiting-tree-structure-credit-assignment/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hieu Tran, Zonghai Yao, Hong yu*2026*
157. **[Exploring automatic terminology extraction from historical medical data](https://md.research.elamur.ai/free/en/papers/zilio-2026-exploring-automatic-terminology-extraction-historical/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Leonardo Zilio, Maria José Bocorny Finatto*2026*
158. **[Extracting Medical Image-Related Entities from Spanish Electronic Health Records Using NER Methods](https://md.research.elamur.ai/free/en/papers/platas-2026-extracting-medical-image-related-entities/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Alexander Platas, Marcos Merino, Elena Zotova, et al.*2026*
159. **[Faithful Medical Dialogue Generation Using Homo-Heterogeneous Exemplar-based In-Context Knowledge Grounding](https://md.research.elamur.ai/free/en/papers/priya-2026-faithful-medical-dialogue-generation-homo/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Priyanshu Priya, Hardik Goyal, Asif Ekbal*2026*
160. **[From Answers to Arguments: Toward Trustworthy Clinical Diagnostic Reasoning with Toulmin-Guided Curriculum Goal-Conditioned Learning](https://md.research.elamur.ai/free/en/papers/zhan-2026-answers-arguments-trustworthy-clinical-diagnostic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chen Zhan, Xiaoyu Tan, Gengchen Ma, et al.*2026*
161. **[GenomeQA: Benchmarking General Large Language Models for Genome Sequence Understanding](https://md.research.elamur.ai/free/en/papers/long-2026-genomeqa-benchmarking-general-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weicai Long, Yusen Hou, Junning Feng, et al.*2026*
162. **[GrACE: A Generative Approach to Better Confidence Elicitation and Efficient Test-Time Scaling in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-grace-generative-approach-better-confidence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhaohan Zhang, Ziquan Liu, Ioannis Patras*2026*
163. **[GraphDx: A Cost-Aware Knowledge-Enhanced Multi-Agent Framework for Sequential Diagnosis](https://md.research.elamur.ai/free/en/papers/tan-2026-graphdx-cost-aware-knowledge-enhanced/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shaoting Tan, Ning Liu, Yuntao Du, et al.*2026*
164. **[HiTZ-IXA at ArchEHR-QA 2026: Evidence Alignment Through Self-Consistency and Prompt Curation in Memory-Constrained Environments](https://md.research.elamur.ai/free/en/papers/urbieta-2026-hitz-ixa-archehr-qa-2026/) [Workshop on Patient-Oriented Language Processing @ LREC](https://md.research.elamur.ai/free/en/venues/cl4health/)**Xabier Irastortza-Urbieta, Maite Oronoz, Alicia Pérez*2026*
165. **[Identifying Imaging Follow-Up in Radiology Reports: A Comparative Analysis of Traditional ML and LLM Approaches](https://md.research.elamur.ai/free/en/papers/park-2026-identifying-imaging-follow-up-radiology/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Namu Park, Giridhar Kaushik Ramachandran, Kevin Lybarger, et al.*2026*
166. **[Inflated Excellence or True Performance? Rethinking Medical Diagnostic Benchmarks with Dynamic Evaluation](https://md.research.elamur.ai/free/en/papers/zhang-2026-inflated-excellence-or-true-performance/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiangxu Zhang, Lei Li, Yanyun Zhou, et al.*2026*
167. **[Is Biomedical Specialization Still Worth It? Insights from Domain-Adaptive Language Modelling with a New French Health Corpus](https://md.research.elamur.ai/free/en/papers/mannion-2026-is-biomedical-specialization-still-worth/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Aidan Mannion, Cécile Macaire, Armand Violle, et al.*2026*
168. **[Is Micro Domain-Adaptive Pre-Training Effective for Real-World Operations? Multi-Step Evaluation Reveals Potential and Bottlenecks](https://md.research.elamur.ai/free/en/papers/tsunokake-2026-is-micro-domain-adaptive-pre/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Masaya Tsunokake, Yuta Koreeda, Terufumi Morishita, et al.*2026*
169. **[Iterative Knowledge Graph Refinement and Integration for Medical Question Answering](https://md.research.elamur.ai/free/en/papers/zou-2026-iterative-knowledge-graph-refinement-integration/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haochen Zou, Yongli Wang*2026*
170. **[Linguistic symptoms: retrieval-augmented generation and reasoning in LLMs under Portuguese–English variation in medical contexts (Sintomas Linguísticos: Geração Aumentada por Recuperação e Raciocínio em LLMs sob a Variação Português-Inglês em Contextos Médicos)](https://md.research.elamur.ai/free/en/papers/moura-2026-sintomas-linguisticos-geracao-aumentada-por/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Guilherme Vianna de Moura, Gabriel Assis, Aline Paes*2026*
171. **[Linking Knowledge to Care: Knowledge Graph-Augmented Medical Follow-Up Question Generation](https://md.research.elamur.ai/free/en/papers/sun-2026-linking-knowledge-care-knowledge-graph/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Liwen Sun, Xiang Yu, Ming Tan, et al.*2026*
172. **[MediEval: A Unified Medical Benchmark for Patient-Contextual and Knowledge-Grounded Reasoning in LLMs](https://md.research.elamur.ai/free/en/papers/qu-2026-medieval-unified-medical-benchmark-patient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhan Qu, Michael Färber*2026*
173. **[MedRedFlag: Investigating how LLMs Redirect Misconceptions in Real-World Health Communication](https://md.research.elamur.ai/free/en/papers/sambara-2026-medredflag-investigating-how-llms-redirect/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sraavya Sambara, Yuan Pu, Ayman Ali, et al.*2026*
174. **[MentalSeek-Dx: Towards Progressive Hypothetico-Deductive Reasoning for Real-world Psychiatric Diagnosis](https://md.research.elamur.ai/free/en/papers/sun-2026-mentalseek-dx-progressive-hypothetico-deductive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiao Sun, Ymyang, Xinyi Jiang, et al.*2026*
175. **[MHGraphBench: Knowledge Graph-Grounded Benchmarking of Mental Health Knowledge in Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2026-mhgraphbench-knowledge-graph-grounded-benchmarking/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Weixin Liu, Congning Ni, Shelagh A. Mulvaney, et al.*2026*
176. **[One Panel Does Not Fit All: Case-Adaptive Multi-Agent Deliberation for Clinical Prediction](https://md.research.elamur.ai/free/en/papers/lu-2026-one-panel-does-not-fit/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuxing Lu, Yushuhong Lin, Jason Zhang*2026*
177. **[Position: Biomedical NLP Demands Specialization, Not Generalization](https://md.research.elamur.ai/free/en/papers/wasi-2026-position-biomedical-nlp-demands-specialization/) [Workshop on Linguistic Analysis for Health](https://md.research.elamur.ai/free/en/venues/healing/)**Toushik Wasi, Azmine*2026*
178. **[PRISM: Probing Reasoning, Instruction, and Source Memory in LLM Hallucinations](https://md.research.elamur.ai/free/en/papers/wu-2026-prism-probing-reasoning-instruction-source/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuhe Wu, Guangyu Wang, Yuran Chen, et al.*2026*
179. **[Probing and Steering Uncertainty in Biomedical Language Models: Representational Structure and Behavioral Limits](https://md.research.elamur.ai/free/en/papers/pal-2026-probing-steering-uncertainty-biomedical-language/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Debmalya Pal*2026*
180. **[PUPPET: Neural-Symbolic Standardized Patients for Mental Health](https://md.research.elamur.ai/free/en/papers/xu-2026-puppet-neural-symbolic-standardized-patients/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chen Xu, Yu Ji, Zhenyu Lyu, et al.*2026*
181. **[RADO: Reasoning Audit-Driven Optimization for Rigorous Reasoning in High-Stakes Domains](https://md.research.elamur.ai/free/en/papers/tan-2026-rado-reasoning-audit-driven-optimization/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhijie Tan, Xu Chu, Guanyu Wang, et al.*2026*
182. **[Razreshili at ArchEHR-QA 2026: Evidence Alignment via LLM Prompting and Cross-Encoder Fine-tuning](https://md.research.elamur.ai/free/en/papers/zemchyk-2026-razreshili-archehr-qa-2026-evidence/) [Workshop on Patient-Oriented Language Processing @ LREC](https://md.research.elamur.ai/free/en/venues/cl4health/)**Arina Zemchyk*2026*
183. **[Role-Adapted Clinical Report Generation for Ultrasound Measurements in Low-Resource Settings](https://md.research.elamur.ai/free/en/papers/nainia-2026-role-adapted-clinical-report-generation/) [Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC](https://md.research.elamur.ai/free/en/venues/clinicalnlp/)**Ayoub Nainia, Tanya Akumu, Noussair Lazrak, et al.*2026*
184. **[Scaling is Not All You Need: Clinical-Oriented Reinforcement Learning Makes Parameter-Efficient Clinical Reasoning](https://md.research.elamur.ai/free/en/papers/liu-2026-scaling-is-not-all-you/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chi Liu, Yan Shu, Mengzhuo Chen, et al.*2026*
185. **[Scaling Vision–Language Models for Pharmaceutical Long-Form Video Reasoning on Industrial GenAI Platform](https://md.research.elamur.ai/free/en/papers/mishra-2026-scaling-vision-language-models-pharmaceutical/) [Workshop on Advances in Language and Vision Research (ALVR)](https://md.research.elamur.ai/free/en/venues/alvr/)**Suyash Mishra, Qiang Li, Srikanth Patil, et al.*2026*
186. **[sebis at ArchEHR-QA 2026: How Much Can You Do Locally? Evaluating Grounded EHR QA on a Single Notebook](https://md.research.elamur.ai/free/en/papers/yurt-2026-sebis-archehr-qa-2026-how/) [Workshop on Patient-Oriented Language Processing @ LREC](https://md.research.elamur.ai/free/en/venues/cl4health/)**Ibrahim Ebrar Yurt, Fabian Tobias Karl, Tejaswi Choppa, et al.*2026*
187. **[sebis at CRF Filling 2026: A Two-Stage Local LLM Pipeline for Medical CRF Filling](https://md.research.elamur.ai/free/en/papers/sommer-2026-sebis-crf-filling-2026-two/) [Workshop on Patient-Oriented Language Processing @ LREC](https://md.research.elamur.ai/free/en/venues/cl4health/)**Katharina Sommer, Tristan Till, Florian Matthes*2026*
188. **[TAMU-NLP at ArchEHR-QA 2026: Grounded Clinical QA with Evidence Identification and Intent-Aware Answer Generation](https://md.research.elamur.ai/free/en/papers/su-2026-tamu-nlp-archehr-qa-2026/) [Workshop on Patient-Oriented Language Processing @ LREC](https://md.research.elamur.ai/free/en/venues/cl4health/)**Xinqi Su, Rongrong Wang, Sunyang Fu, et al.*2026*
189. **[Travel on the ICD Tree: Benchmarking Agentic Reasoning for ICD Coding from Chinese Electronic Medical Records](https://md.research.elamur.ai/free/en/papers/xu-2026-travel-icd-tree-benchmarking-agentic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinjie Xu, Yongqi Fan, Shuang-shuang Chen, et al.*2026*
190. **[Tree-of-Evidence: Efficient “System 2” Search for Faithful Multimodal Grounding](https://md.research.elamur.ai/free/en/papers/nnamdi-2026-tree-evidence-efficient-system-2/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Micky C. Nnamdi, Benoit Louis Marteau, Yishan Zhong, et al.*2026*
191. **[VAIDYA: Validated Agents for Intelligent Diagnosis and Yielded Analysis](https://md.research.elamur.ai/free/en/papers/shah-2026-vaidya-validated-agents-intelligent-diagnosis/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Kalash Shah, Gautam Bhutani, Rohitaswa Sarbhangia, et al.*2026*
192. **[What Does Infect Mean to Cardio? Investigating the Role of Clinical Specialty Data in Medical LLMs](https://md.research.elamur.ai/free/en/papers/yan-2026-what-does-infect-mean-cardio/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Xinlan Yan, Di Wu, Yibin Lei, et al.*2026*

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