User profiles for Zifan Peng
 | Zifan PengPh.D. Candidate at HKUST(GZ) Verified email at connect.hkust-gz.edu.cn Cited by 446 |
2D TMD‐Based Lateral Heterostructures: Preparation, Property, and Application
…, Y Guo, L Zhang, D Shen, Q Ye, Z Peng… - Advanced Functional …, 2025 - Wiley Online Library
Two‐dimensional transition metal dichalcogenides (2D‐TMDs) have attracted considerable
attention from academic and industrial fields due to their atomical thin thickness and unique …
attention from academic and industrial fields due to their atomical thin thickness and unique …
Supergpqa: Scaling llm evaluation across 285 graduate disciplines
Large language models (LLMs) have demonstrated remarkable proficiency in mainstream
academic disciplines such as mathematics, physics, and computer science. However, human …
academic disciplines such as mathematics, physics, and computer science. However, human …
Jalmbench: Benchmarking jailbreak vulnerabilities in audio language models
Large Audio Language Models (LALMs) have made significant progress. While increasingly
deployed in real-world applications, LALMs face growing safety risks from jailbreak attacks …
deployed in real-world applications, LALMs face growing safety risks from jailbreak attacks …
Unsafe {LLM-Based} Search: Quantitative Analysis and Mitigation of Safety Risks in {AI} Web Search
Recent advancements in Large Language Models (LLMs) have significantly enhanced the
capabilities of AI-Powered Search Engines (AIPSEs), offering precise and efficient responses …
capabilities of AI-Powered Search Engines (AIPSEs), offering precise and efficient responses …
Combating the COVID-19 infodemic using prompt-based curriculum learning
The COVID-19 pandemic has been accompanied by a proliferation of online misinformation
and disinformation about the virus. Combating this ‘infodemic’ has been identified as one of …
and disinformation about the virus. Combating this ‘infodemic’ has been identified as one of …
Thought manipulation: External thought can be efficient for large reasoning models
Recent advancements in large reasoning models (LRMs) have demonstrated the effectiveness
of scaling test-time computation to enhance reasoning capabilities on various tasks. …
of scaling test-time computation to enhance reasoning capabilities on various tasks. …
Humanizing llms: A survey of psychological measurements with tools, datasets, and human-agent applications
As large language models (LLMs) are increasingly used in human-centered tasks, assessing
their psychological traits is crucial for understanding their social impact and ensuring …
their psychological traits is crucial for understanding their social impact and ensuring …
Nl2repo-bench: Towards long-horizon repository generation evaluation of coding agents
Recent advances in coding agents suggest rapid progress toward autonomous software
development, yet existing benchmarks fail to rigorously evaluate the long-horizon capabilities …
development, yet existing benchmarks fail to rigorously evaluate the long-horizon capabilities …
Source coverage and citation bias in LLM-based vs. traditional search engines
LLM-based Search Engines (LLM-SEs) introduces a new paradigm for information seeking.
Unlike Traditional Search Engines (TSEs) (eg, Google), these systems summarize results, …
Unlike Traditional Search Engines (TSEs) (eg, Google), these systems summarize results, …
Prompt-based contrastive learning to combat the COVID-19 infodemic
The COVID-19 pandemic has brought about an influx of misinformation and disinformation
online, especially on social media. The World Health Organization has identified combating …
online, especially on social media. The World Health Organization has identified combating …