7 citations · 23 across the 10 of their papers we have counts for
10 papers
When Seeing Overrides Knowing: Visual Dominance and Deferral-Based Method for Personalized Safety in VLMs
Edward Sun, Yuchen Wu, Zixian Ma +7
Vision-language models (VLMs) are increasingly deployed in high-stakes settings, where a response that is reasonable in general may still be unsafe for a particular user whose medi…
BioVerge: A Comprehensive Benchmark and Study of Self-Evaluating Agents for Biomedical Hypothesis Generation
Fuyi Yang, Chenchen Ye, Mingyu Derek Ma +3
Hypothesis generation in biomedical research has traditionally centered on uncovering hidden relationships within vast scientific literature, often using methods like Literature-Ba…
Protein Large Language Models: A Comprehensive Survey
Yijia Xiao, Wanjia Zhao, Junkai Zhang +12
Protein-specific large language models (Protein LLMs) are revolutionizing protein science by enabling more efficient protein structure prediction, function annotation, and design.…
CSR-Bench: Benchmarking LLM Agents in Deployment of Computer Science Research Repositories
Yijia Xiao, Runhui Wang, Luyang Kong +2
The increasing complexity of computer science research projects demands more effective tools for deploying code repositories. Large Language Models (LLMs), such as Anthropic Claude…
TradingAgents: Multi-Agents LLM Financial Trading Framework
Yijia Xiao, Edward Sun, Di Luo +1
Significant progress has been made in automated problem-solving using societies of agents powered by large language models (LLMs). In finance, efforts have largely focused on singl…
RNA-GPT: Multimodal Generative System for RNA Sequence Understanding
Yijia Xiao, Edward Sun, Yiqiao Jin +1
RNAs are essential molecules that carry genetic information vital for life, with profound implications for drug development and biotechnology. Despite this importance, RNA research…
ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding
Yijia Xiao, Edward Sun, Yiqiao Jin +2
Understanding biological processes, drug development, and biotechnological advancements requires a detailed analysis of protein structures and functions, a task that is inherently…
LogicVista: Multimodal LLM Logical Reasoning Benchmark in Visual Contexts
Yijia Xiao, Edward Sun, Tianyu Liu +1
We propose LogicVista, an evaluation benchmark that assesses the integrated logical reasoning capabilities of multimodal large language models (MLLMs) in Visual contexts. Recent ad…
PGraphDTA: Improving Drug Target Interaction Prediction using Protein Language Models and Contact Maps
Rakesh Bal, Yijia Xiao, Wei Wang
Developing and discovering new drugs is a complex and resource-intensive endeavor that often involves substantial costs, time investment, and safety concerns. A key aspect of drug…
PrivacyMind: Large Language Models Can Be Contextual Privacy Protection Learners
Yijia Xiao, Yiqiao Jin, Yushi Bai +10
The proliferation of Large Language Models (LLMs) has driven considerable interest in fine-tuning them with domain-specific data to create specialized language models. Nevertheless…