{"total":20,"rows":[{"id":"2211.09260","title":"Task-aware Retrieval with Instructions","created":"2022-11-16","cited_by_count":107,"area":null},{"id":"2206.10128","title":"Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query Generation","created":"2022-06-21","cited_by_count":48,"area":null},{"id":"2404.18443","title":"BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers","created":"2024-04-29","cited_by_count":38,"area":null},{"id":"2306.00424","title":"End-to-end Knowledge Retrieval with Multi-modal Queries","created":"2023-06-01","cited_by_count":23,"area":null},{"id":"2211.03818","title":"Retrieval augmentation of large language models for lay language generation","created":"2022-11-07","cited_by_count":21,"area":null},{"id":"2204.07600","title":"In-BoXBART: Get Instructions into Biomedical Multi-Task Learning","created":"2022-04-15","cited_by_count":16,"area":null},{"id":"2207.02419","title":"BioTABQA: Instruction Learning for Biomedical Table Question Answering","created":"2022-07-06","cited_by_count":13,"area":null},{"id":"2405.16402","title":"Assessing Empathy in Large Language Models with Real-World Physician-Patient Interactions","created":"2024-05-26","cited_by_count":13,"area":null},{"id":"2203.07522","title":"Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering","created":"2022-03-14","cited_by_count":11,"area":null},{"id":"2308.08147","title":"MDDial: A Multi-turn Differential Diagnosis Dialogue Dataset with Reliability Evaluation","created":"2023-08-16","cited_by_count":10,"area":null},{"id":"2505.14599","title":"Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models","created":"2025-05-20","cited_by_count":9,"area":null},{"id":"2210.01371","title":"A Study on the Efficiency and Generalization of Light Hybrid Retrievers","created":"2022-10-04","cited_by_count":7,"area":null},{"id":"2405.10630","title":"Medical Dialogue: A Survey of Categories, Methods, Evaluation and Challenges","created":"2024-05-17","cited_by_count":5,"area":null},{"id":"2205.16005","title":"Neural Retriever and Go Beyond: A Thesis Proposal","created":"2022-05-31","cited_by_count":1,"area":null},{"id":"2312.13881","title":"Diversifying Knowledge Enhancement of Biomedical Language Models using Adapter Modules and Knowledge Graphs","created":"2023-12-21","cited_by_count":1,"area":null},{"id":"2305.04344","title":"Empowering Language Model with Guided Knowledge Fusion for Biomedical Document Re-ranking","created":"2023-05-07","cited_by_count":0,"area":null},{"id":"2507.01049","title":"Cohort Retrieval using Dense Passage Retrieval","created":"2025-06-26","cited_by_count":0,"area":null},{"id":"2510.18691","title":"Investigating LLM Capabilities on Long Context Comprehension for Medical Question Answering","created":"2025-10-21","cited_by_count":0,"area":null},{"id":"2605.20628","title":"Divide-Prompt-Refine: a Training-Free, Structure-Aware Framework for Biomedical Abstract Generation","created":"2026-05-20","cited_by_count":0,"area":null},{"id":"2607.24764","title":"GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models","created":"2026-06-04","cited_by_count":0,"area":null}],"next_cursor":null}