6 citations · 10 across the 11 of their papers we have counts for
11 papers
From Retrieval to Reasoning: A Framework for Cyber Threat Intelligence NER with Explicit and Adaptive Instructions
Jiaren Peng, Hongda Sun, Xuan Tian +3
The automation of Cyber Threat Intelligence (CTI) relies heavily on Named Entity Recognition (NER) to extract critical entities from unstructured text. Currently, Large Language Mo…
Enhancing Medical Dialogue Generation through Knowledge Refinement and Dynamic Prompt Adjustment
Hongda Sun, Jiaren Peng, Wenzhong Yang +3
Medical dialogue systems (MDS) have emerged as crucial online platforms for enabling multi-turn, context-aware conversations with patients. However, existing MDS often struggle to…
MobileSteward: Integrating Multiple App-Oriented Agents with Self-Evolution to Automate Cross-App Instructions
Yuxuan Liu, Hongda Sun, Wei Liu +3
Mobile phone agents can assist people in automating daily tasks on their phones, which have emerged as a pivotal research spotlight. However, existing procedure-oriented agents str…
BiDeV: Bilateral Defusing Verification for Complex Claim Fact-Checking
Yuxuan Liu, Hongda Sun, Wenya Guo +4
Complex claim fact-checking performs a crucial role in disinformation detection. However, existing fact-checking methods struggle with claim vagueness, specifically in effectively…
MIN: Multi-channel Interaction Network for Drug-Target Interaction with Protein Distillation
Shuqi Li, Shufang Xie, Hongda Sun +4
Traditional drug discovery processes are both time-consuming and require extensive professional expertise. With the accumulation of drug-target interaction (DTI) data from experime…
One Small and One Large for Document-level Event Argument Extraction
Jiaren Peng, Hongda Sun, Wenzhong Yang +3
Document-level Event Argument Extraction (EAE) faces two challenges due to increased input length: 1) difficulty in distinguishing semantic boundaries between events, and 2) interf…
Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents
Shihan Deng, Weikai Xu, Hongda Sun +8
With the remarkable advancements of large language models (LLMs), LLM-based agents have become a research hotspot in human-computer interaction. However, there is a scarcity of ben…
MockLLM: A Multi-Agent Behavior Collaboration Framework for Online Job Seeking and Recruiting
Hongda Sun, Hongzhan Lin, Haiyu Yan +3
Online recruitment platforms have reshaped job-seeking and recruiting processes, driving increased demand for applications that enhance person-job matching. Traditional methods gen…
Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answering
Hongda Sun, Yuxuan Liu, Chengwei Wu +5
Open-domain question answering (ODQA) has emerged as a pivotal research spotlight in information systems. Existing methods follow two main paradigms to collect evidence: (1) The \t…
Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference
Hongda Sun, Hongzhan Lin, Rui Yan
Electronic health records (EHRs) have become the foundation of machine learning applications in healthcare, while the utility of real patient records is often limited by privacy an…
DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to Determinacy
Hongda Sun, Weikai Xu, Wei Liu +5
Recent advances in large language models (LLMs) have revolutionized the landscape of reasoning tasks. To enhance the capabilities of LLMs to emulate human reasoning, prior studies…