2025–2026 · 不下 PDF · 生成于 2026-10-19 13:22 Asia/Shanghai · HF Space 可同步
| year | ACL | Findings-ACL | BioNLP | MICCAI | AAAI | ICLR | EMNLP | NeurIPS | Findings-EMNLP | CL4HEALTH | ICML | LREC | SMM4H | ClinicalNLP | CVPR | EACL | CLPSYCH | IJCAI |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025 | 93 | 71 | 68 | 74 | 58 | 76 | 115 | 63 | 68 | 42 | 35 | · | · | 11 | 17 | · | 17 | 20 |
| 2026 | 151 | 127 | 123 | 94 | 110 | 82 | 42 | 48 | 32 | 51 | 36 | 60 | 53 | 41 | 35 | 51 | 28 | 22 |
| venue | n | 有仓 | 有仓率 |
|---|---|---|---|
| ACL | 244 | 165 | 67.6% |
| Findings-ACL | 198 | 143 | 72.2% |
| BioNLP | 191 | 104 | 54.5% |
| MICCAI | 168 | 131 | 78.0% |
| AAAI | 168 | 93 | 55.4% |
| ICLR | 158 | 131 | 82.9% |
| EMNLP | 157 | 103 | 65.6% |
| NeurIPS | 111 | 65 | 58.6% |
| Findings-EMNLP | 100 | 74 | 74.0% |
| CL4HEALTH | 93 | 56 | 60.2% |
| ICML | 71 | 49 | 69.0% |
| LREC | 60 | 42 | 70.0% |
| SMM4H | 53 | 20 | 37.7% |
| ClinicalNLP | 52 | 21 | 40.4% |
| CVPR | 52 | 30 | 57.7% |
| 域名 | 链接次数 |
|---|---|
| github.com | 1553 |
| huggingface.co | 193 |
| gitlab.com | 1 |
| # | org | 链接 | 论文 |
|---|---|---|---|
| 1 | microsoft | 13 | 13 |
| 2 | FreedomIntelligence | 6 | 6 |
| 3 | dmis-lab | 6 | 6 |
| 4 | xmed-lab | 5 | 5 |
| 5 | HumanSignal | 5 | 5 |
| 6 | EleutherAI | 5 | 5 |
| 7 | rajpurkarlab | 5 | 5 |
| 8 | bionlproc | 5 | 5 |
| 9 | AHMRezaul | 4 | 4 |
| 10 | biodatlab | 4 | 4 |
| 11 | Fede-stack | 4 | 4 |
| 12 | jvladika | 4 | 4 |
| 13 | AQ-MedAI | 4 | 4 |
| 14 | anujatayal | 3 | 3 |
| 15 | soni-sarvesh | 3 | 3 |
| 16 | leduckhai | 3 | 3 |
| 17 | qiuhuachuan | 3 | 3 |
| 18 | Artessay | 3 | 3 |
| 19 | ikram28 | 3 | 3 |
| 20 | alibaba-damo-academy | 3 | 3 |
不确定时弃答、转诊或分诊的选择性预测与 defer。
→ 切片交叉Discover-Agentic-Tool-ClinicalWorkflow30 篇临床工具调用与 HIS/EHR 多智能体工作流。
→ 切片交叉Discover-Causal-Decision-Clinical30 篇因果与决策导向的临床治疗建议生成。
→ 切片交叉Discover-Federated-Clinical30 篇联邦学习在临床多中心数据上的协作建模。
→ 切片交叉Discover-Guideline-RAG32 篇指南接地检索增强生成与临床决策支持。
→ 切片交叉Discover-HumanAI-ClinicalUI30 篇预问诊、写病历等人机协作交互界面。
→ 切片交叉Discover-Judge-Eval38 篇LLM-as-judge、基准污染与医学评测偏差。
→ 切片交叉Discover-LongContext-EHR38 篇长上下文与记忆支撑纵向病历理解。
→ 切片交叉Discover-Multimodal-Reasoning-Clinical32 篇影像+检验+主诉的多模态联合推理。
→ 切片交叉Discover-ProcessReward-ClinicalDialogue30 篇过程奖励与问诊/指南 checklist 对齐。
→ 切片交叉Discover-ScienceAgent-Biomed30 篇生医发现与实验设计类科学智能体。
→ 切片交叉Discover-Synth-Privacy38 篇病历合成、脱敏与差分隐私发布。
→ 切片交叉| Abstention-D | Agentic-Tool | Causal-Decis | Federated-Cl | Guideline-RA | HumanAI-Clin | Judge-Eval | LongContext- | Multimodal-R | ProcessRewar | ScienceAgent | Synth-Privac | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Abstention-Defer-T | 30 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 0 |
| Agentic-Tool-Clini | 0 | 30 | 0 | 0 | 2 | 0 | 0 | 2 | 0 | 1 | 1 | 0 |
| Causal-Decision-Cl | 0 | 0 | 30 | 0 | 0 | 1 | 3 | 2 | 0 | 1 | 0 | 0 |
| Federated-Clinical | 1 | 0 | 0 | 30 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 13 |
| Guideline-RAG | 0 | 2 | 0 | 1 | 32 | 1 | 1 | 4 | 0 | 1 | 1 | 1 |
| HumanAI-ClinicalUI | 0 | 0 | 1 | 1 | 1 | 30 | 0 | 2 | 0 | 0 | 0 | 0 |
| Judge-Eval | 1 | 0 | 3 | 0 | 1 | 0 | 38 | 2 | 0 | 0 | 0 | 0 |
| LongContext-EHR | 0 | 2 | 2 | 1 | 4 | 2 | 2 | 38 | 0 | 1 | 1 | 3 |
| Multimodal-Reasoni | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 1 | 0 | 0 |
| ProcessReward-Clin | 2 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 30 | 0 | 0 |
| ScienceAgent-Biome | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 30 | 0 |
| Synth-Privacy | 0 | 0 | 0 | 13 | 1 | 0 | 0 | 3 | 0 | 0 | 0 | 38 |
切片 30 篇 · 与 Rudy 短名单交集 11
Teaching LLMs to Recommend and Defer in Underrepresented Epi…; AI-Assisted Triage and Decision Support of Head and Neck Can…; MMedAgent-RL: Optimizing Multi-Agent Collaboration for Multi…
→ Discover×Rudy 页Discover-Agentic-Tool-ClinicalWorkflow∩Rudy 5切片 30 篇 · 与 Rudy 短名单交集 5
A Clinical Guideline-Grounded Hybrid Agentic Framework for H…; DermAgent: A Multi-Tool Agentic System for Evidence-Grounded…; AI Diagnostic Assistant (AIDA): A Predictive Model for Diagn…
→ Discover×Rudy 页Discover-Causal-Decision-Clinical∩Rudy 0切片 30 篇 · 与 Rudy 短名单交集 0
→ Discover×Rudy 页Discover-Federated-Clinical∩Rudy 1切片 30 篇 · 与 Rudy 短名单交集 1
AI-Assisted Triage and Decision Support of Head and Neck Can…
→ Discover×Rudy 页Discover-Guideline-RAG∩Rudy 10切片 32 篇 · 与 Rudy 短名单交集 10
MED-COPILOT: A Medical Assistant Powered by GraphRAG and Sim…; TabMedQA: From Structured Data to Question-Answer Datasets i…; CliCARE: Grounding Large Language Models in Clinical Guideli…
→ Discover×Rudy 页Discover-HumanAI-ClinicalUI∩Rudy 4切片 30 篇 · 与 Rudy 短名单交集 4
Beyond the Individual: Virtualizing Multi-Disciplinary Reaso…; MED-COPILOT: A Medical Assistant Powered by GraphRAG and Sim…; ``What's Up, Doc?'': Analyzing How Users Seek Health Informa…
→ Discover×Rudy 页Discover-Judge-Eval∩Rudy 0切片 38 篇 · 与 Rudy 短名单交集 0
→ Discover×Rudy 页Discover-LongContext-EHR∩Rudy 2切片 38 篇 · 与 Rudy 短名单交集 2
MED-COPILOT: A Medical Assistant Powered by GraphRAG and Sim…; CliCARE: Grounding Large Language Models in Clinical Guideli…
→ Discover×Rudy 页Discover-Multimodal-Reasoning-Clinical∩Rudy 0切片 32 篇 · 与 Rudy 短名单交集 0
→ Discover×Rudy 页Discover-ProcessReward-ClinicalDialogue∩Rudy 7切片 30 篇 · 与 Rudy 短名单交集 7
CoMMa: Contribution-Aware Medical Multi-Agents for Decentral…; AI Diagnostic Assistant (AIDA): A Predictive Model for Diagn…; AI-Assisted Triage and Decision Support of Head and Neck Can…
→ Discover×Rudy 页Discover-ScienceAgent-Biomed∩Rudy 1切片 30 篇 · 与 Rudy 短名单交集 1
BioDiscoveryAgent: An AI Agent for Designing Genetic Perturb…
→ Discover×Rudy 页Discover-Synth-Privacy∩Rudy 0切片 38 篇 · 与 Rudy 短名单交集 0
→ Discover×Rudy 页本篇（ACL）入选 Cardiology-Chat 心内优先阅读包，相关信号：多智能体/Agent；对话/问诊；∩Dialogue；Agent切片。英文摘要要点：Occupational Health (OH) triage is a systematic process for evaluating and prioritising workplace health concerns to determine appropria…
本篇（AAAI）入选短名单，相关信号：主题命中；CliCARE·纵向病历指南接地决策支持；指南/CDSS/路径/治疗规划主题命中；顶会；指南接地加分；CDSS/决策支持加分；核心点名。英文摘要要点：Target: Decision Support over Longitudinal Cancer EHRs combined with KG and TKGs Large Language Models (LLMs) hold sig…
本文面向心血管/心内科、心内×临床对话场景，提出/研究「MedAgent-Pro: Towards Evidence-based Multi-modal Medical Diagnosis via Reasoning Agentic Workflow」，技术焦点包括多智能体/Agent。论文核心工作可概括为：In modern medicine, clinical diagnosis relies on the comprehen…
本篇（ICLR）入选短名单，相关信号：Agent主题；MMedAgent；多Agent临床工作流；顶会。英文摘要要点：Medical Large Vision-Language Models (Med-LVLMs) have shown strong potential in multimodal diagnostic tasks. However, existing single-agent models struggle to…
本篇（EMNLP）入选短名单，相关信号：Agent主题；多模态多Agent对话基准；多Agent临床工作流；顶会。英文摘要要点：Though Large Vision-Language Models (LVLMs) are being actively explored in medicine, their ability to conduct complex real-world telemedicine consultatio…
本篇（Findings-ACL）入选短名单，相关信号：Agent主题；MDTeamGPT；多Agent临床工作流；顶会；核心必读。英文摘要要点：A previously healthy 36-year-old man presents with yellow skin discoloration and dark urine for 2 weeks … examination confirms jaundice … labs sh…
《StoryMI: Steerable Multi-Agent Therapeutic Dialogue Generation》发表于ACL系会场、ACL/EMNLP残余扫街，重点涉及多智能体/Agent、对话/问诊/追问。英文摘要要点：Abstract Large language models (LLMs) can generate fluent dialogue, but prior works lack situation…
本篇（ACL）入选短名单，相关信号：Agent主题；AI Hospital；AI Hospital综述；多Agent临床工作流；顶会；核心必读。英文摘要要点：This survey reviews LLM-based multi-agent systems for clinical and healthcare workflows, including diagnosis, triage, consultation, discha…
本篇（Findings-ACL）入选短名单，相关信号：主题命中；SEMA-RAG多Agent医学；顶会；医学语境；核心点名。英文摘要要点：Retrieval-Augmented Generation (RAG) is widely employed to mitigate risks such as hallucinations and knowledge obsolescence in medical question answ…
《From Conflict to Consensus: Boosting Medical Reasoning via Multi-Round Agentic RAG》属于Agent工具×临床工作流相关工作，重点涉及多智能体/Agent、检索/知识增强。英文摘要要点：Large Language Models (LLMs) exhibit high rea- soning capacity in medical question-…
《The Attachment Index: Auditing Attachment Language Cues and Relational Safety Risks in Human-LLM Dialogue》属于弃权/转诊×分诊相关工作，重点涉及对话/问诊/追问、安全/不确定。英文摘要要点：As conversational AI systems grow increasingly toward emotional supp…
本篇（IJCAI）入选短名单，相关信号：主题命中；H&N Triage·头颈癌筛查分诊决策支持；分诊/急救/院前/路由主题命中；顶会；核心点名。本地摘要暂缺，请直接打开 PDF。可与 CLARITY / InTriage / SOAPTriage / OccuTriage、AI Hospitals / Spanish Triage / H&N Triage、MedObvious / EMSDialog / EMS QA 对照阅读。
本篇（EMNLP）入选 ProMed 相邻短名单，相关信号：医患对话；顶会NLP。英文摘要要点：The severe shortage of medical doctors limits access to timely and reliable healthcare, leaving millions underserved. Large language models (LLMs) offer a poten… 可与主动追问 …
《DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning》属于ACL系会场相关工作，重点涉及多智能体/Agent、工具调用。英文摘要要点：Specialized visual tools can augment large language models or vision language models with…
本文面向心血管/心内科、心内×临床对话场景，提出/研究「From Sound to Symptom: Real-Time Respiratory Signal Understanding for Conversational Healthcare Agents」，技术焦点包括多智能体/Agent、对话系统。论文核心工作可概括为：Cough events during live spoken conversations carry …
《MIND: Unified Inquiry and Diagnosis RL with Criteria Grounded Clinical Supports for Psychiatric Consultation》属于过程奖励×临床对话相关工作，重点涉及对话/问诊/追问、检索/知识增强。英文摘要要点：Psychiatric consultation requires agents to elicit discriminati…
《Dialogue to Question Generation for Evidence-based Medical Guideline Agent Development》发表于Workshop/其它会场，重点涉及多智能体/Agent、对话/问诊/追问、指南/决策支持。英文摘要要点：Evidence-based medicine ({EBM}) is central to high-quality care, but rema…
《MultiAgentESC: A LLM-based Multi-Agent Collaboration Framework for Emotional Support Conversation》发表于ACL系会场、ACL/EMNLP残余扫街，重点涉及多智能体/Agent、对话/问诊/追问、大模型。英文摘要要点：Abstract The development of Emotional Support Conversation …
本篇（IWSDS）入选短名单，相关信号：工具增强；工具调用/增强。英文摘要要点：The post-pandemic healthcare labor crisis has intensified the demand for accessible, high-precision pharmaceutical care. To meet this challenge, we introduce Co… 可与 BioTool / Me…
《D$^2$-RAG: Dual-Decision Retrieval-Augmented Generation via Multi-Dimensional Uncertainty and Utility-Aware Decoding》发表于ACL系会场、ACL/EMNLP残余扫街，重点涉及检索/知识增强、安全/不确定/隐私。英文摘要要点：Abstract Retrieval-Augmented Generation (RAG) …
本篇（Findings-ACL）入选 ProMed 相邻短名单，相关信号：交互式诊断；诊断Agent/医院；顶会NLP。英文摘要要点：Sequential diagnosis requires balancing diagnostic accuracy against resource costs through iterative information gathering. Existing Large Language Mo…
本文面向主动追问/预问诊场景，提出/研究「Faithful Medical Dialogue Generation Using Homo-Heterogeneous Exemplar-based In-Context Knowledge Grounding」，技术焦点包括对话系统。论文核心工作可概括为：The growing reliance on tele-healthcare has heightened the demand…
本篇（Findings-ACL）入选短名单，相关信号：Agent主题；语义路由多Agent；多Agent临床工作流；顶会。英文摘要要点：While Retrieval-Augmented Generation (RAG) has become a standard paradigm for mitigating hallucinations in Large Language Models (LLMs), its effectiv…
本篇（ACL）入选短名单，相关信号：主题命中；SOAPTriage·SOAP结构→急诊ESI；顶会；急诊分诊加分；核心点名。英文摘要要点：Emergency departments (ED) rely on the Emergency Severity Index (ESI) to assess patient acuity and prioritize care, a process that is largely driven…
本文面向主动追问/预问诊场景，提出/研究「ASD-iLLM:An Intervention Large Language Model for Autistic Children based on Real Clinical Dialogue Intervention Dataset」，技术焦点包括对话系统。论文核心工作可概括为：Currently, leveraging large language models (LLMs) f…
《MIND: Towards Immersive Psychological Healing with Multi-Agent Inner Dialogue》属于ACL系会场相关工作，重点涉及多智能体/Agent、对话/问诊/追问。英文摘要要点：Mental health issues are worsening in today’s competitive society, such as depression and anxi…
《From Scanning Guidelines to Action: A Robotic Ultrasound Agent with LLM-Based Reasoning》发表于医学影像/生医NLP专会、MICCAI、医视语言，重点涉及多智能体/Agent、指南/决策支持、多模态/影像。英文摘要要点：Robotic ultrasound offers advantages over free-hand scanning, i…
本篇（IJCAI）入选短名单，相关信号：主题命中；AIDA·病历诊断决策助手；指南/CDSS/路径/治疗规划主题命中；顶会；CDSS/决策支持加分；核心点名。英文摘要要点：AI Diagnostic Assistant (AIDA), a machine learning model designed to predict ICD-10 diagnoses based on the full medi Clinical Decis…
本篇（EMNLP）入选短名单，相关信号：主题命中；CLARITY·路由/推理/分诊一体助手；分诊/急救/院前/路由主题命中；顶会；急诊分诊加分；核心点名。英文摘要要点：We present CLARITY (Clinical Assistant for Routing, Inference and Triage), an AI-driven platform designed to facilitate patient-to-sp…
《Case2Flow: Bridging Patient Cases and Guideline Flowcharts through Multimodal Retrieval》发表于ACL系会场、ACL/EMNLP残余扫街，重点涉及检索/知识增强、指南/决策支持、多模态/影像。英文摘要要点：Medical guidelines encode rich, evidence-based decision logic, yet the…
《Greench-v1: distilling SLMs on Greenwashing Detection》属于过程奖励×临床对话、弃权/转诊×分诊相关工作，重点涉及医学AI方法。英文摘要要点：Validating greenwashing claims in environmental, social, and governance (ESG) reports relies heavily on costly and inco…
《LLM-Based Multi-Agent System with Retrieval-Augmented Generation for Medical Care Planning Generation in Sickle Cell Disease》发表于Workshop/其它会场，重点涉及多智能体/Agent、检索/知识增强、大模型。英文摘要要点：Abstract Ensuring safety in clinical app…
本篇（CL4HEALTH）入选 ProMed 相邻短名单，相关信号：MedQA交互对话；主动/交互诊断。英文摘要要点：The rising adoption of Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) in clinical general practice demands datasets that capture realis…
本文面向心血管/心内科、心内×临床对话、主动追问/预问诊场景，提出/研究「``What's Up, Doc?'': Analyzing How Users Seek Health Information in Large-Scale Conversational AI Datasets」，技术焦点包括对话系统。论文核心工作可概括为：People are increasingly seeking healthcare informa…
本篇（NeurIPS）入选短名单，相关信号：主题命中；CoMMa·去中心化肿瘤多Agent决策；肿瘤学主题命中；顶会；肿瘤基准/Agent加分；核心点名。英文摘要要点：Recent multi-agent frameworks have shown promise for oncology decision sup port, yet most assume centralized data access and rely on …
本篇（Findings-ACL）入选 Cardiology-Chat 心内优先阅读包，相关信号：心内信号(PDF)；LLM；多智能体/Agent；∩Dialogue；Agent切片。英文摘要要点：Conversational diagnosis prediction requires models to track evolving evidence in streaming clinical conversations and …
本文面向主动追问/预问诊场景，提出/研究「From Medical Records to Diagnostic Dialogues: A Clinical-Grounded Approach and Dataset for Psychiatric Comorbidity」，技术焦点包括对话系统。对医学大模型、临床对话或心血管相关应用具有参考价值，可结合代码仓与正式页进一步复现。
本篇（BioNLP）入选短名单，相关信号：主题命中；Spanish Triage·西语临床笔记风险分诊；分诊/急救/院前/路由主题命中；顶会；核心点名。英文摘要要点：Standard clinical Natural Language Processing (NLP) benchmarks often yield inflated metrics by forcing deterministic classification on…
《Confidence-Based Response Abstinence: Improving LLM Trustworthiness via Activation-Based Uncertainty Estimation》属于弃权/转诊×分诊相关工作，重点涉及安全/不确定。英文摘要要点：We propose a method for confidence estimation in retrieval-augmented ge…
本文面向心血管/心内科、心内×临床对话、主动追问/预问诊场景，提出/研究「Listening to Patients: Detecting and Mitigating Patient Misreport in Medical Dialogue System」，技术焦点包括对话系统。论文核心工作可概括为：Medical Dialogue Systems (MDSs) have emerged as promising tools …
本篇（NeurIPS）入选短名单，相关信号：Agent主题；MedAgentBoard；多Agent临床工作流；顶会。英文摘要要点：The rapid advancement of Large Language Models (LLMs) has stimulated interest in multi-agent collaboration for addressing complex medical tasks. Howeve…
《A Self-Evolving LLM Agent Framework for Role-Based Norm Compliance in Healthcare》属于弃权/转诊×分诊相关工作，重点涉及多智能体/Agent。英文摘要要点：Large language models (LLMs) are increasingly proposed as conversational agents in healthcare, yet…
本篇（ICLR）入选 ProMed 相邻短名单，相关信号：医患对话；交互式诊断。英文摘要要点：Effective information seeking in multi-turn medical dialogues is critical for accurate diagnosis, especially when dealing with incomplete information. Aligning … 可与主动追问 /…
本篇（MICCAI）入选短名单，相关信号：工具增强；DermAgent；多工具Agent；非医学降权。英文摘要要点：. Dermatological diagnosis requires integrating fine-grained vi sual perception with expert clinical knowledge. Although Multimodal Large Language Models (MLLM…
《DialogGuard: Multi-Agent Psychosocial Safety Evaluation Interface of Sensitive LLM Responses》发表于ACL系会场、ACL/EMNLP残余扫街，重点涉及多智能体/Agent、对话/问诊/追问、评测基准/共享任务。英文摘要要点：Abstract LLM-based agents are increasingly deployed for me…
本文面向主动追问/预问诊场景，提出/研究「Experience is the Teacher: Reusing Atomic Thoughts from LLMs to Improve Medical Dialogue」，技术焦点包括对话系统。论文核心工作可概括为：With the remarkable performance of large language models (LLMs) in medicine, particu…
本篇（EACL）入选短名单，相关信号：主题命中；临床不确定时知何时弃答；校准/不确定性/弃答/共形/转诊；顶会；弃答/转诊加分；核心点名。英文摘要要点：Current evaluation of large language models (LLMs) overwhelmingly prioritizes accuracy; however, in real-world and safety-critical applicatio…
本篇（NeurIPS）入选短名单，相关信号：主题命中；Epilepsy-Defer·代表性不足癫痫护理LLM；顶会；脑血管/癫痫加分；核心点名。英文摘要要点：Specialist epilepsy expertise is scarce in resource-constrained settings, making LLM-based decision support attractive for frontline clini…
《AI Psychiatrist Assistant: An LLM-based Multi-Agent System for Depression Assessment from Clinical Interviews》发表于Workshop/其它会场，重点涉及多智能体/Agent、精神健康、大模型。英文摘要要点：Depression is one of the most common mental disorders yet …
本篇（Findings-ACL）入选短名单，相关信号：Agent主题；多Agent临床工作流；模块化多Agent诊断；顶会。英文摘要要点：Recent advancements in medical Large Language Models (LLMs) have showcased their powerful reasoning and diagnostic capabilities. Despite their succe…
本篇（MICCAI）入选短名单，相关信号：主题命中；Epilepsy-Guideline·癫痫指南混合智能体；指南/CDSS/路径/治疗规划主题命中；顶会；指南接地加分；核心点名。英文摘要要点：. Epilepsy is a chronic neurological disorder requiring multi faceted management, including seizure detection, syndrome …
《EmoRes: Toward Adaptive Psychological Support via User-Agnostic Benchmark and Topic-Mining Agent》属于过程奖励×临床对话相关工作，重点涉及多智能体/Agent、评测基准。英文摘要要点：Large language models exhibit significant potential for psychological suppor…
本文面向主动追问/预问诊场景，提出/研究「EmplifAI: a Fine-grained Dataset for Japanese Empathetic Medical Dialogues in 28 Emotion Labels」，技术焦点包括对话系统。论文核心工作可概括为：This paper introduces EmplifAI, a Japanese empathetic dialogue dataset design…
本文面向主动追问/预问诊场景，提出/研究「NLP4Health: Multilingual Clinical Dialogue Summarization and QA with mT5 and LoRA」，技术焦点包括对话系统。论文核心工作可概括为：In this work, we present NLP4Health, a unified and reproducible pipeline to accomplish the …
本文面向心血管/心内科、心内×临床对话场景，提出/研究「Benchmarking Reinforcement Learning Algorithms for ICU Ventilator Settings: An Interpretable and Probabilistic Patient Environment for Doctor Agents」，技术焦点包括多智能体/Agent、评测基准。论文核心工作可概括为：oxygen…
本篇（EACL）入选 ProMed 相邻短名单，相关信号：预问诊；病史采集/预问诊；顶会NLP。英文摘要要点：We introduce EPAG, a benchmark dataset and framework designed for evaluating the pre-consultation ability of LLMs using diagnostic guidelines. LLMs are evaluate… …
| org | 短名单 | 全库链 | 短名单论文 | repo |
|---|---|---|---|---|
| microsoft | 1 | 13 | OG-RAG: Ontology-grounded retrieval-augmented generation for… | repo |
| MindIntLab-HFUT | 1 | 3 | MultiAgentESC: A LLM-based Multi-Agent Collaboration Framewo… | repo |
| Georgetown-IR-Lab | 1 | 2 | Faithful Medical Dialogue Generation Using Homo-Heterogeneou… | repo |
| gusye1234 | 1 | 2 | TreeRAG: Unleashing the Power of Hierarchical Storage for En… | repo |
| Jerryji007 | 1 | 2 | Dialogue to Question Generation for Evidence-based Medical G… | repo |
| jinlab-imvr | 1 | 2 | MedAgent-Pro: Towards Evidence-based Multi-modal Medical Dia… | repo |
| snap-stanford | 1 | 2 | BioDiscoveryAgent: An AI Agent for Designing Genetic Perturb… | repo |
| X-LANCE | 1 | 2 | From Medical Records to Diagnostic Dialogues: A Clinical-Gro… | repo |
| animeshprasad | 1 | 1 | The Attachment Index: Auditing Attachment Language Cues and … | repo |
| AnonymousSubmission996 | 1 | 1 | CLARITY: Clinical Assistant for Routing, Inference, and Tria… | repo |
| Beren-sds | 1 | 1 | StoryMI: Steerable Multi-Agent Therapeutic Dialogue Generati… | repo |
| Deep-Agent | 1 | 1 | MMedAgent-RL: Optimizing Multi-Agent Collaboration for Multi… | repo |
| HovChen | 1 | 1 | Beyond the Individual: Virtualizing Multi-Disciplinary Reaso… | repo |
| iai-group | 1 | 1 | TabMedQA: From Structured Data to Question-Answer Datasets i… | repo |
| JialeWei | 1 | 1 | Case2Flow: Bridging Patient Cases and Guideline Flowcharts t… | repo |
| KaiChenNJ | 1 | 1 | MDTeamGPT: Mitigating Context Collapse and Enabling Self-Evo… | repo |
| khoapham154 | 1 | 1 | A Clinical Guideline-Grounded Hybrid Agentic Framework for H… | repo |
| lhannnn | 1 | 1 | DialogGuard: Multi-Agent Psychosocial Safety Evaluation Inte… | repo |
| LibertFan | 1 | 1 | AI Hospital: Benchmarking Large Language Models in a Multi-a… | repo |
| Lingxi-mental-health | 1 | 1 | MIND: Unified Inquiry and Diagnosis RL with Criteria Grounde… | repo |
| Lucanyc | 1 | 1 | OccuTriage: An AI Agent Orchestration Framework for Occupati… | repo |
| NJU-RL | 1 | 1 | From Conflict to Consensus: Boosting Medical Reasoning via M… | repo |
| nsivaku | 1 | 1 | DART: Leveraging Multi-Agent Disagreement for Tool Recruitme… | repo |
| ossiver-GEL | 1 | 1 | GraphDx: A Cost-Aware Knowledge-Enhanced Multi-Agent Framewo… | repo |
| paulleamy | 1 | 1 | From Sound to Symptom: Real-Time Respiratory Signal Understa… | repo |
| Quark-Medical | 1 | 1 | ATPO: ADAPTIVE TREE POLICY OPTIMIZATION FOR MULTI-TURN MEDIC… | repo |
| romorale | 1 | 1 | Reliable Automated Triage in Spanish Clinical Notes: A Hybri… | repo |
| roychowdhuryresearch | 1 | 1 | Teaching LLMs to Recommend and Defer in Underrepresented Epi… | repo |
| roymoutushi | 1 | 1 | NLP4Health: Multilingual Clinical Dialogue Summarization and… | repo |
| sakurakawa1 | 1 | 1 | CliCARE: Grounding Large Language Models in Clinical Guideli… | repo |
| sallyy1 | 1 | 1 | CAP: A Source-Grounded Proposition Scaffold for Faithful Cli… | repo |
| seemdog | 1 | 1 | Evaluating the Pre-Consultation Ability of LLMs using Diagno… | repo |
| Shuzhong-Lai | 1 | 1 | ASD-iLLM:An Intervention Large Language Model for Autistic C… | repo |
| sravanthi6m | 1 | 1 | Knowing When to Abstain: Medical LLMs Under Clinical Uncerta… | repo |
| timothy0203 | 1 | 1 | Benchmarking Reinforcement Learning Algorithms for ICU Venti… | repo |
| trendscenter | 1 | 1 | AI Psychiatrist Assistant: An LLM-based Multi-Agent System f… | repo |
| univanxx | 1 | 1 | 3MDBench: Medical Multimodal Multi-agent Dialogue Benchmark | repo |
| VioletAmethystLunar | 1 | 1 | Experience is the Teacher: Reusing Atomic Thoughts from LLMs… | repo |
| wshi83 | 1 | 1 | MedAgentGym: A Scalable Agentic Training Environment for Cod… | repo |
| X-D-Lab | 1 | 1 | MIND: Towards Immersive Psychological Healing with Multi-Age… | repo |
| xiaoyaoiii | 1 | 1 | SOAPTriage: SOAP-Guided Multi-View Clinical Text Modeling Fr… | repo |
| yahskapar | 1 | 1 | ``What's Up, Doc?'': Analyzing How Users Seek Health Informa… | repo |
| yczhou001 | 1 | 1 | MAM: Modular Multi-Agent Framework for Multi-Modal Medical D… | repo |
| yhzhu99 | 1 | 1 | MedAgentBoard: Benchmarking Multi-Agent Collaboration with C… | repo |
| YizeezLiu | 1 | 1 | DermAgent: A Multi-Tool Agentic System for Evidence-Grounded… | repo |
| yuan-12138 | 1 | 1 | From Scanning Guidelines to Action: A Robotic Ultrasound Age… | repo |
| zakelawen | 1 | 1 | D$^2$-RAG: Dual-Decision Retrieval-Augmented Generation via … | repo |
| zhao-zy15 | 1 | 1 | Strong Reasoning Isn't Enough: Evaluating Evidence Elicitati… | repo |
| ZJUMAI | 1 | 1 | LLMs Can Simulate Standardized Patients via Agent Coevolutio… | repo |
| # | term | count |
|---|---|---|
| 1 | generation | 119 |
| 2 | knowledge | 70 |
| 3 | reasoning | 69 |
| 4 | vision-language | 62 |
| 5 | detection | 58 |
| 6 | question | 55 |
| 7 | answering | 52 |
| 8 | evaluation | 50 |
| 9 | biomedical | 50 |
| 10 | benchmark | 47 |
| 11 | report | 46 |
| 12 | alignment | 44 |
| 13 | task | 43 |
| 14 | enhancing | 42 |
| 15 | summarization | 41 |
| # | term | count |
|---|---|---|
| 1 | reasoning | 153 |
| 2 | generation | 129 |
| 3 | biomedical | 78 |
| 4 | detection | 75 |
| 5 | benchmark | 72 |
| 6 | vision-language | 70 |
| 7 | report | 68 |
| 8 | evaluation | 61 |
| 9 | question | 57 |
| 10 | extraction | 56 |
| 11 | answering | 53 |
| 12 | knowledge | 52 |
| 13 | retrieval | 48 |
| 14 | diagnosis | 46 |
| 15 | evaluating | 46 |
| term | 2025 | 2026 | Δrate |
|---|---|---|---|
| reasoning | 69 | 153 | +0.0513 |
| smm4h-heard | 0 | 37 | +0.0270 |
| agentic | 8 | 39 | +0.0215 |
| evidence | 7 | 33 | +0.0180 |
| segmentation | 10 | 32 | +0.0146 |
| classification | 16 | 39 | +0.0145 |
| pipeline | 3 | 22 | +0.0134 |
| biomedical | 50 | 78 | +0.0132 |
| benchmarking | 20 | 42 | +0.0132 |
| multi-agent | 23 | 45 | +0.0127 |
| reinforcement | 9 | 28 | +0.0126 |
| diagnostic | 5 | 22 | +0.0117 |
| term | 2025 | 2026 | Δrate |
|---|---|---|---|
| summarization | 41 | 17 | -0.0235 |
| knowledge | 70 | 52 | -0.0233 |
| task | 43 | 23 | -0.0209 |
| enhancing | 42 | 22 | -0.0207 |
| domain | 30 | 15 | -0.0153 |
| through | 39 | 26 | -0.0152 |
| leveraging | 19 | 5 | -0.0130 |
| chinese | 21 | 8 | -0.0125 |
| foundation | 34 | 25 | -0.0115 |
| peranssumm | 13 | 0 | -0.0114 |
| protein | 23 | 12 | -0.0114 |
| survey | 14 | 2 | -0.0108 |