Jihao Gu
10 papers · 2024–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(30)
💎
Century Club · Bronze
⚡
Prolific Year · Productive
Top co-authors
Research topics
Artificial Intelligence
(10)
Core AI · Artificial Intelligence
(10)
Machine Learning
(4)
Learning Types · Machine Learning
(4)
Deep Learning
(3)
Natural Language Processing
(3)
Computer Vision
(2)
Applications
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Reinforcement Learning
(1)
Analysis
(1)
Application Areas
(1)
Core AI · Computer Vision
(1)
Keywords
large language model
(3)
vision-language model
(3)
direct preference optimization
(2)
video understanding
(2)
mobile agent
(2)
factuality evaluation
(2)
visual question answering
(1)
object recognition
(1)
benchmark evaluation
(1)
question answering
(1)
transfer learning
(1)
interactive systems
(1)
safety alignment
(1)
model alignment
(1)
zero-shot generalization
(1)
parameter-efficient fine-tuning
(1)
preference learning
(1)
multimodal large language model
(1)
hallucination mitigation
(1)
reward modeling
(1)
Papers
GUI0: Self-Evolving Foundational GUI Agents in Super App Ecosystems
ACL 2026
InquireMobile: Teaching VLM-based Mobile Agent to Request Human Assistance via Reinforcement Fine-Tuning
ACL 2026
MA-Bench: Towards Fine-grained Micro-Action Understanding
CVPR 2026
Mobile-R1: Towards Interactive Capability for VLM-Based Mobile Agent via Systematic Training
ACL 2026
Video SimpleQA: Towards Factuality Evaluation in Large Video Language Models
AAAI 2026
2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision
NAACL 2025
DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models
NAACL 2025
See the World, Discover Knowledge: A Chinese Factuality Evaluation for Large Vision Language Models
ACL 2025
Token Preference Optimization with Self-Calibrated Visual-Anchored Rewards for Hallucination Mitigation
EMNLP 2025
From Bottom to Top: Extending the Potential of Parameter Efficient Fine-Tuning
EMNLP 2024