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healthcare application

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large language model (6) benchmark evaluation (5) medical domain (3) clinical evaluation (3) medical large language model (2) clinical decision support (2) interpretable machine learning (2) offline reinforcement learning (2) reinforcement learning (2) decision accountability (1)

Papers

CMedBench: A Comprehensive Benchmark for Efficient Medical Large Language Models AAAI 2026 Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models ACL 2025 Building Trust in Clinical LLMs: Bias Analysis and Dataset Transparency EMNLP 2025 Can We Trust AI Doctors? A Survey of Medical Hallucination in Large Language and Large Vision-Language Models ACL 2025 Counterfactual Explanations for Continuous Action Reinforcement Learning IJCAI 2025 Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework COLING 2025 Evaluation of Medical Large Language Models: Taxonomy, Review, and Directions IJCAI 2025 IRIS: Interpretable Retrieval-Augmented Classification for Long Interspersed Document Sequences ACL 2025 M3Retrieve: Benchmarking Multimodal Retrieval for Medicine EMNLP 2025 Med-CoDE: Medical Critique based Disagreement Evaluation Framework NAACL 2025 Addressing Healthcare-related Racial and LGBTQ+ Biases in Pretrained Language Models NAACL 2024 CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios EMNLP 2024 Evaluating the Effectiveness of Explainable Artificial Intelligence Approaches (Student Abstract) AAAI 2024 MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey NeurIPS 2024 Timing as an Action: Learning When to Observe and Act AISTATS 2024 Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking NeurIPS 2024 Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples NeurIPS 2023 Continuous-Time Decision Transformer for Healthcare Applications AISTATS 2023 The AI Doctor Is In: A Survey of Task-Oriented Dialogue Systems for Healthcare Applications ACL 2022 Reinforcement Learning with State Observation Costs in Action-Contingent Noiselessly Observable Markov Decision Processes NeurIPS 2021 Graph-Driven Generative Models for Heterogeneous Multi-Task Learning AAAI 2020 Identifying robust markers of Parkinson’s disease in typing behaviour using a CNN-LSTM network CoNLL 2020 Set Functions for Time Series ICML 2020 Optimizing Speech-Input Length for Speaker-Independent Depression Classification Interspeech 2019 Markov Decision Processes with Continuous Side Information ALT 2018