Guangzhi Xiong

10 papers · 2024–2026 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+4 more ↓

🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (25) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🤝 Dynamic Duo (10)

⚡ Prolific Year · Productive ❓ The Questioner 💎 Century Club · Bronze 🗃️ Keyword Collector (57)

Venues

IJCAI (3) ACL (2) AAAI (1) CVPR (1) EMNLP (1) ICCV (1) NeurIPS (1)

Top co-authors

Aidong Zhang (10) Sanchit Sinha (6) Zhiyong Lu (3) Zhenghao He (3) Qiao Jin (3) Serina S Applebaum (1) Stefan Bekiranov (1) Abid A Anwar (1) Xiao Wang (1) Conrad W Safranek (1)

Research topics

Artificial Intelligence (7) Core AI (7) Machine Learning (6) Learning Types (6) Deep Learning (4) Natural Language Processing (4) Healthcare & Medicine (3) Applications (3) Clinical (3) Resources & Methods (3) Application Areas (2) Generation (2) Models (2) Computer Vision (1) Architectures (1)

Keywords

benchmark evaluation (4) large language model (4) vision-language model (3) contrastive learning (2) neuro-symbolic reasoning (2) medical question answering (2) concept learning (2) information retrieval (2) attention mechanism (1) medical nlp (1) image retrieval (1) visual grounding (1) language model (1) foundation model (1) chain-of-thought prompting (1) causal reasoning (1) hallucination detection (1) retrieval-augmented generation (1) question answering (1) hallucination mitigation (1)

Papers

Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models AAAI 2026 Retrieving Counterfactuals Improves Visual In-Context Learning CVPR 2026 ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers IJCAI 2025 COCO-Tree: Compositional Hierarchical Concept Trees for Enhanced Reasoning in Vision-Language Models EMNLP 2025 GCAV: A Global Concept Activation Vector Framework for Cross-Layer Consistency in Interpretability ICCV 2025 MedCite: Can Language Models Generate Verifiable Text for Medicine? ACL 2025 Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models IJCAI 2025 A Self-explaining Neural Architecture for Generalizable Concept Learning IJCAI 2024 Benchmarking Retrieval-Augmented Generation for Medicine ACL 2024 MedCalc-Bench: Evaluating Large Language Models for Medical Calculations NeurIPS 2024