Medical LLM

Medical LLMs are large language models adapted for healthcare applications, primarily aiming to improve medical information access, analysis, and decision-making. Current research focuses on enhancing reasoning capabilities through techniques like chain-of-thought prompting and dynamic reasoning trajectory search, as well as addressing biases and ensuring safety through careful preference alignment and guardrail implementation. These advancements hold significant promise for improving healthcare efficiency and patient care, but ongoing work is crucial to address challenges like bias mitigation, hallucination reduction, and robust evaluation in real-world clinical settings.

Papers

January 22, 2025

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January 18, 2025

Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking
Dina Pisarevskaya, Arkaitz Zubiaga
Large Language Model Zero Shot Medical LLM Shot Learning Natural Language Inference Automated Fact Checking

Medical LLM

Papers

Analysis of Indic Language Capabilities in LLMs

Question Answering on Patient Medical Records with Private Fine-Tuned LLMs

How to Complete Domain Tuning while Keeping General Ability in LLM: Adaptive Layer-wise and Element-wise Regularization

Implicit Causality-biases in humans and LLMs as a tool for benchmarking LLM discourse capabilities

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Open or Closed LLM for Lesser-Resourced Languages? Lessons from Greek

Combining Knowledge Graph and LLMs for Enhanced Zero-shot Visual Question Answering

EchoLM: Accelerating LLM Serving with Real-time Knowledge Distillation

Kimi k1.5: Scaling Reinforcement Learning with LLMs

Leveraging LLMs to Create a Haptic Devices' Recommendation System

Is Long Context All You Need? Leveraging LLM's Extended Context for NL2SQL

AdaServe: SLO-Customized LLM Serving with Fine-Grained Speculative Decoding

Webvs. LLMs: An Empirical Study of Learning Behaviors of CS2 Students

Is your LLM trapped in a Mental Set? Investigative study on how mental sets affect the reasoning capabilities of LLMs

Early evidence of how LLMs outperform traditional systems on OCR/HTR tasks for historical records

LLM supervised Pre-training for Multimodal Emotion Recognition in Conversations

Tell me about yourself: LLMs are aware of their learned behaviors

Can LLM Generate Regression Tests for Software Commits?

Control LLM: Controlled Evolution for Intelligence Retention in LLM

Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking