Fan LIU
16 papers · 2021–2026 · 7 conferences · across top CS/AI conferences
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Keywords
large language model
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multimodal large language model
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few-shot classification
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reinforcement learning
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machine unlearning
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retrieval-augmented generation
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Papers
SGPVT: Self-Generated Proximal Visual Tokens for Mitigating Proximal Collateral Damage in MLLM Unlearning
ACL 2026
TInR: Exploring Tool-Internalized Reasoning in Large Language Models
ACL 2026
Think Faster Than Words: Efficient LLM Chain-of-Thought Reasoning via Dynamic Shortcut Decoding
ACL 2026
RemoteReasoner: Towards Unifying Geospatial Reasoning Workflow
AAAI 2026
AirNavigation: Let UAV Navigation Tell Its Own Story
AAAI 2026
PEToolLLM: Towards Personalized Tool Learning in Large Language Models
ACL 2025
Chain-of-Talkers (CoTalk): Fast Human Annotation of Dense Image Captions
EMNLP 2025
TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning
EMNLP 2025
Unleashing Vision Foundation Models for Coronary Artery Segmentation: Parallel ViT-CNN Encoding and Variational Fusion
MICCAI 2025
Making Large Vision Language Models to Be Good Few-Shot Learners
AAAI 2025
CoRe-MMRAG: Cross-Source Knowledge Reconciliation for Multimodal RAG
ACL 2025
Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs
NIPS 2024
Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models
NIPS 2024
Few-shot Classification via Ensemble Learning with Multi-Order Statistics
IJCAI 2023
Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models
NIPS 2022
When Cloud Storage Meets RDMA
NSDI 2021