activity
20232026
most citedHuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge

97 citations · 127 across the 9 of their papers we have counts for

collaborators
Showing cs.CLShow all

7 papers · 1 filter

cs.CL2026

Easier to Judge than to Find: Predicting In-Context Learning Success for Demonstration Selection

Haochun Wang, Chaofen Yang, Jiatong Liu +5

In-context learning (ICL) is highly sensitive to which demonstrations appear in the prompt, but selecting them is expensive because the space of possible demonstration contexts and…

cs.CL2025

Uncovering the Role of Initial Saliency in U-Shaped Attention Bias: Scaling Initial Token Weight for Enhanced Long-Text Processing

Zewen Qiang, Sendong Zhao, Haochun Wang +2

Large language models (LLMs) have demonstrated strong performance on a variety of natural language processing (NLP) tasks. However, they often struggle with long-text sequences due…

cs.CL2024★ 4 cited

LLMs May Perform MCQA by Selecting the Least Incorrect Option

Haochun Wang, Sendong Zhao, Zewen Qiang +3

In the field of NLP, Large Language Models (LLMs) have markedly enhanced performance across a variety of tasks. However, the comprehensive evaluation of LLMs remains an inevitable…

cs.CL2024★ 5 cited

Beyond Direct Diagnosis: LLM-based Multi-Specialist Agent Consultation for Automatic Diagnosis

Haochun Wang, Sendong Zhao, Zewen Qiang +3

Automatic diagnosis is a significant application of AI in healthcare, where diagnoses are generated based on the symptom description of patients. Previous works have approached thi…

cs.CL2023★ 1 cited

Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making

Yanrui Du, Sendong Zhao, Haochun Wang +5

Explaining black-box model behavior with natural language has achieved impressive results in various NLP tasks. Recent research has explored the utilization of subsequences from th…

cs.CL2023★ 19 cited

Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese

Haochun Wang, Sendong Zhao, Zewen Qiang +9

Large Language Models (LLMs) have demonstrated remarkable success in diverse natural language processing (NLP) tasks in general domains. However, LLMs sometimes generate responses…

cs.CL2023★ 97 cited

HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge

Haochun Wang, Chi Liu, Nuwa Xi +4

Large Language Models (LLMs), such as the LLaMA model, have demonstrated their effectiveness in various general-domain natural language processing (NLP) tasks. Nevertheless, LLMs h…