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Yifan Xu

39 papers · 2018–2026 · 14 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ πŸƒ Academic Marathon (8) 🌍 Conference Polyglot (14) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (8)
πŸ—ΊοΈ Taxonomy Completionist (72) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧬 Topic Evolution πŸ‘₯ Mega-Team (28) πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ”₯ Unstoppable (7) ⚑ Prolific Year (7) πŸš€ Conference Pioneer πŸ’Ž Century Club (37) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (156)

Conferences

ACL (7) AAAI (6) ICLR (6) CVPR (4) WACV (3) ECCV (2) ICCV (2) IJCAI (2) NAACL (2) COLING (1) EMNLP (1) ICML (1) IJCNLP (1) NIPS (1)

Top co-authors

Jie Tang (9) Xiao Liu (9) Zhuowen Tu (9) Yuxiao Dong (9) Weijian Xu (7) Hanyu Lai (6) Shudan Zhang (4) Aohan Zeng (4) Zhengxiao Du (4) Pan Xu (4)

Research topics

Education (1)

Keywords

large language model (9) direct preference optimization (3) linear programming (3) knowledge graph (2) self-attention mechanism (2) benchmark evaluation (2) relative position embedding (2) online algorithm (2) reinforcement learning (2) transformer architecture (2) vision transformer (2) autonomous agent (2) object detection (1) text classification (1) computer vision (1) principal component analysis (1) zero-shot learning (1) representation learning (1) causal reasoning (1) imitation learning (1)

Papers

Optimizing LVLMs with On-Policy Data for Effective Hallucination Mitigation WACV 2026 When Human Preferences Flip: An Instance-Dependent Robust Loss for RLHF AAAI 2026 KARL: Reinforcement Learning for LLM Agents on Multi-Turn Knowledge-Intensive Agentic Tasks ACL 2026 MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation AAAI 2025 Corgi: Cached Memory Guided Video Generation WACV 2025 VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents ICLR 2025 AndroidGen: Building an Android Language Agent under Data Scarcity ACL 2025 AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents ACL 2025 A Survey of Post-Training Scaling in Large Language Models ACL 2025 Neural Motion Simulator Pushing the Limit of World Models in Reinforcement Learning CVPR 2025 ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline EMNLP 2024 BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions AAAI 2024 AlignBench: Benchmarking Chinese Alignment of Large Language Models ACL 2024 A Cause-Effect Look at Alleviating Hallucination of Knowledge-grounded Dialogue Generation COLING 2024 AgentBench: Evaluating LLMs as Agents ICLR 2024 Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips ICLR 2024 Libra: Building Decoupled Vision System on Large Language Models ICML 2024 Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs? NAACL 2024 Personalized Review Recommendation based on Implicit dimension mining NAACL 2024 Multi-modal Queried Object Detection in the Wild NIPS 2023 Equity Promotion in Public Transportation AAAI 2023 GLM-130B: An Open Bilingual Pre-trained Model ICLR 2023 On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning ICLR 2023 TransVLAD: Multi-Scale Attention-Based Global Descriptors for Visual Geo-Localization WACV 2023 PersLEARN: Research Training through the Lens of Perspective Cultivation ACL 2023 Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer AAAI 2022 Equity Promotion in Online Resource Allocation AAAI 2022 Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models ACL 2021 Line Segment Detection Using Transformers Without Edges CVPR 2021 Attentional Constellation Nets for Few-Shot Learning ICLR 2021 Pose Recognition With Cascade Transformers CVPR 2021 RFNet: Recurrent Forward Network for Dense Point Cloud Completion ICCV 2021 Co-Scale Conv-Attentional Image Transformers ICCV 2021 Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models IJCNLP 2021 Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry ECCV 2020 Trade the System Efficiency for the Income Equality of Drivers in Rideshare IJCAI 2020 A Unified Model for the Two-stage Offline-then-Online Resource Allocation IJCAI 2020 Guided Variational Autoencoder for Disentanglement Learning CVPR 2020 SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters ECCV 2018