DictLLM: Harnessing Key-Value Data Structures with Large Language Models for Enhanced Medical Diagnostics
Fuente:
arXiv
Saved in:
| Main Authors: | Guo, YiQiu, Yang, Yuchen, Zhang, Ya, Wang, Yu, Wang, Yanfeng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DSVD: Dynamic Self-Verify Decoding for Faithful Generation in Large Language Models
by: Guo, YiQiu, et al.
Published: (2025)
by: Guo, YiQiu, et al.
Published: (2025)
TAIA: Large Language Models are Out-of-Distribution Data Learners
by: Jiang, Shuyang, et al.
Published: (2024)
by: Jiang, Shuyang, et al.
Published: (2024)
AutoMedEval: Harnessing Language Models for Automatic Medical Capability Evaluation
by: Zhang, Xiechi, et al.
Published: (2025)
by: Zhang, Xiechi, et al.
Published: (2025)
CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios
by: Ouyang, Zetian, et al.
Published: (2024)
by: Ouyang, Zetian, et al.
Published: (2024)
MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models with Sparse Mixture of Low-Rank Adapter Experts
by: Liao, Yusheng, et al.
Published: (2024)
by: Liao, Yusheng, et al.
Published: (2024)
Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications
by: Chen, Zhe, et al.
Published: (2025)
by: Chen, Zhe, et al.
Published: (2025)
Miner:Mining Intrinsic Mastery for Data-Efficient RL in Large Reasoning Models
by: Jiang, Shuyang, et al.
Published: (2026)
by: Jiang, Shuyang, et al.
Published: (2026)
Dr. Assistant: Enhancing Clinical Diagnostic Inquiry via Structured Diagnostic Reasoning Data and Reinforcement Learning
by: Guo, Yue, et al.
Published: (2026)
by: Guo, Yue, et al.
Published: (2026)
Review-LLM: Harnessing Large Language Models for Personalized Review Generation
by: Peng, Qiyao, et al.
Published: (2024)
by: Peng, Qiyao, et al.
Published: (2024)
Towards Evaluating and Building Versatile Large Language Models for Medicine
by: Wu, Chaoyi, et al.
Published: (2024)
by: Wu, Chaoyi, et al.
Published: (2024)
Struct-X: Enhancing Large Language Models Reasoning with Structured Data
by: Tan, Xiaoyu, et al.
Published: (2024)
by: Tan, Xiaoyu, et al.
Published: (2024)
Harnessing Multiple Large Language Models: A Survey on LLM Ensemble
by: Chen, Zhijun, et al.
Published: (2025)
by: Chen, Zhijun, et al.
Published: (2025)
Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models
by: Wang, Rui, et al.
Published: (2025)
by: Wang, Rui, et al.
Published: (2025)
LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models
by: Yang, Hang, et al.
Published: (2024)
by: Yang, Hang, et al.
Published: (2024)
Towards Building Multilingual Language Model for Medicine
by: Qiu, Pengcheng, et al.
Published: (2024)
by: Qiu, Pengcheng, et al.
Published: (2024)
LLM2: Let Large Language Models Harness System 2 Reasoning
by: Yang, Cheng, et al.
Published: (2024)
by: Yang, Cheng, et al.
Published: (2024)
MedS$^3$: Towards Medical Slow Thinking with Self-Evolved Soft Dual-sided Process Supervision
by: Jiang, Shuyang, et al.
Published: (2025)
by: Jiang, Shuyang, et al.
Published: (2025)
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
by: Wang, Xin, et al.
Published: (2024)
by: Wang, Xin, et al.
Published: (2024)
Automatic Interactive Evaluation for Large Language Models with State Aware Patient Simulator
by: Liao, Yusheng, et al.
Published: (2024)
by: Liao, Yusheng, et al.
Published: (2024)
LibriSQA: A Novel Dataset and Framework for Spoken Question Answering with Large Language Models
by: Zhao, Zihan, et al.
Published: (2023)
by: Zhao, Zihan, et al.
Published: (2023)
Harnessing Consistency for Robust Test-Time LLM Ensemble
by: Zeng, Zhichen, et al.
Published: (2025)
by: Zeng, Zhichen, et al.
Published: (2025)
Overthinking Reduction with Decoupled Rewards and Curriculum Data Scheduling
by: Jiang, Shuyang, et al.
Published: (2025)
by: Jiang, Shuyang, et al.
Published: (2025)
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models
by: Lin, Zhenghao, et al.
Published: (2025)
by: Lin, Zhenghao, et al.
Published: (2025)
Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering
by: Yu, Haoran, et al.
Published: (2024)
by: Yu, Haoran, et al.
Published: (2024)
Eliciting Medical Reasoning with Knowledge-enhanced Data Synthesis: A Semi-Supervised Reinforcement Learning Approach
by: Li, Haolin, et al.
Published: (2026)
by: Li, Haolin, et al.
Published: (2026)
Off-Policy Value-Based Reinforcement Learning for Large Language Models
by: Wang, Peng-Yuan, et al.
Published: (2026)
by: Wang, Peng-Yuan, et al.
Published: (2026)
MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning
by: Shi, Wenqi, et al.
Published: (2024)
by: Shi, Wenqi, et al.
Published: (2024)
PhenoLIP: Integrating Phenotype Ontology Knowledge into Medical Vision-Language Pretraining
by: Liang, Cheng, et al.
Published: (2026)
by: Liang, Cheng, et al.
Published: (2026)
C-VARC: A Large-Scale Chinese Value Rule Corpus for Value Alignment of Large Language Models
by: Wu, Ping, et al.
Published: (2025)
by: Wu, Ping, et al.
Published: (2025)
EHR-R1: A Reasoning-Enhanced Foundational Language Model for Electronic Health Record Analysis
by: Liao, Yusheng, et al.
Published: (2025)
by: Liao, Yusheng, et al.
Published: (2025)
SR-LLM: Rethinking the Structured Representation in Large Language Model
by: Zhang, Jiahuan, et al.
Published: (2025)
by: Zhang, Jiahuan, et al.
Published: (2025)
Towards an End-to-End Framework for Invasive Brain Signal Decoding with Large Language Models
by: Feng, Sheng, et al.
Published: (2024)
by: Feng, Sheng, et al.
Published: (2024)
Patience Is The Key to Large Language Model Reasoning
by: Yu, Yijiong
Published: (2024)
by: Yu, Yijiong
Published: (2024)
M2K-VDG: Model-Adaptive Multimodal Knowledge Anchor Enhanced Video-grounded Dialogue Generation
by: Liu, Hongcheng, et al.
Published: (2024)
by: Liu, Hongcheng, et al.
Published: (2024)
Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration
by: Yu, Zhongzhi, et al.
Published: (2024)
by: Yu, Zhongzhi, et al.
Published: (2024)
ProtoMed-LLM: An Automatic Evaluation Framework for Large Language Models in Medical Protocol Formulation
by: Yi, Seungjun, et al.
Published: (2024)
by: Yi, Seungjun, et al.
Published: (2024)
Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic Hints
by: An, Kaikai, et al.
Published: (2024)
by: An, Kaikai, et al.
Published: (2024)
Post-decoder Biasing for End-to-End Speech Recognition of Multi-turn Medical Interview
by: Liu, Heyang, et al.
Published: (2024)
by: Liu, Heyang, et al.
Published: (2024)
PGA-SciRE: Harnessing LLM on Data Augmentation for Enhancing Scientific Relation Extraction
by: Zhou, Yang, et al.
Published: (2024)
by: Zhou, Yang, et al.
Published: (2024)
Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning
by: Yao, Rujing, et al.
Published: (2025)
by: Yao, Rujing, et al.
Published: (2025)
Similar Items
-
DSVD: Dynamic Self-Verify Decoding for Faithful Generation in Large Language Models
by: Guo, YiQiu, et al.
Published: (2025) -
TAIA: Large Language Models are Out-of-Distribution Data Learners
by: Jiang, Shuyang, et al.
Published: (2024) -
AutoMedEval: Harnessing Language Models for Automatic Medical Capability Evaluation
by: Zhang, Xiechi, et al.
Published: (2025) -
CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios
by: Ouyang, Zetian, et al.
Published: (2024) -
MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models with Sparse Mixture of Low-Rank Adapter Experts
by: Liao, Yusheng, et al.
Published: (2024)