Yiqiao Jin CS PhD @ Georgia Tech
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  • Projects
    • AgentArk
    • UniSD
    • Sysformer
    • SARA
    • SlideAgent
    • ScreenLLM
    • SciEvo
    • AgentReview
    • MM-Soc
    • CompeteAI
    • XLingEval
    • INPAC
    • CODER
    • FinerFact
  • Publications
    • CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries
    • MASCOT: Towards Multi-Agent Socio-Collaborative Companion Systems
    • MM-BizRAG: Rethinking Multimodal Retrieval-Augmented Generation for General Purpose Enterprise Q&A
    • Reasoning Is Not All You Need: Examining LLMs for Multi-Turn Mental Health Conversations
    • SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression
    • MedHalu: Hallucinations in Responses to Healthcare Queries by Large Language Models
    • TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization
    • UniSD: Towards a Unified Self-Distillation Framework for Large Language Models
    • Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE
    • Sysformer: Safeguarding Frozen Large Language Models with Adaptive System Prompts
    • AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent
    • Consistency Should Be the Priority for Unified Multimodal Models
    • SlideAgent: Hierarchical Agentic Framework for Multi-Page Visual Document Understanding
    • Protein Large Language Models: A Comprehensive Survey
    • Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories
    • Deconstructing the Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas: A Survey
    • Efficient Knowledge Probing of Large Language Models by Adapting Pre-trained Embeddings
    • A Survey on Efficient Large Language Model Training: From Data-centric Perspectives
    • ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding
    • Topological Structure Learning Should Be A Research Priority for LLM-Based Multi-Agent Systems
    • A Comprehensive Survey of Multimodal Foundation Model Evaluation: A Hierarchical Perspective and Extensive Applications
    • ScreenLLM: Stateful Screen Schema for Efficient Action Understanding and Prediction
    • The Influence of Text Variation on User Engagement in Cross-Platform Content Sharing
    • Large Language Model Agent: A Survey on Methodology, Applications and Challenges
    • SciEvo: A 2 Million, 30-Year Cross-disciplinary Dataset for Temporal Scientometric Analysis
    • UniGuard: Towards Universal Safety Guardrails for Jailbreak Attacks on Multimodal Large Language Models
    • RNA-GPT: Multimodal Generative System for RNA Sequence Understanding
    • AgentReview: Exploring Peer Review Dynamics with LLM Agents
    • PrivacyMind: Large Language Models Can Be Contextual Privacy Protection Learners
    • Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation
    • CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents
    • Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries
    • MM-SOC: Benchmarking Multimodal Large Language Models in Social Media Platforms
    • Prototypical Reward Network for Data-Efficient RLHF
    • Semi-Offline Reinforcement Learning for Optimized Text Generation
    • Code Recommendation for Open Source Software Developers
    • Predicting Information Pathways Across Online Communities
    • Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes
    • Reinforcement Subgraph Reasoning for Fake News Detection
    • Towards Fine-Grained Reasoning for Fake News Detection
  • Recent & Upcoming Talks
    • SlideAgent: Hierarchical Agentic Framework for Multi-Page Visual Document Understanding
    • AgentReview: Exploring Peer Review Dynamics with LLM Agents
  • Experience
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  • Teaching

AgentReview

Nov 12, 2024 · 0 min read
Go to Project Site
Last updated on Nov 12, 2024
LLM Agents Multi-Agent Systems Peer Review
Yiqiao Jin
Authors
Yiqiao Jin
Ph.D. Candidate in Computer Science
My research sits at the intersection of multimodal foundation models, intelligent agents, and spatial/physical intelligence. I build general-purpose models that perceive, reason, learn, and act in interactive virtual and physical environments.

← SciEvo Mar 3, 2025
MM-Soc May 15, 2024 →

To my dearest Diana ❤️ 😘

© 2026 Yiqiao Jin. This work is licensed under CC BY NC ND 4.0