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Siliang Tang

77 papers · 2015–2026 · 12 venues · across top CS/AI venues

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+15 more ↓ πŸ—ΊοΈ Taxonomy Completionist (106) 🌍 Conference Polyglot Β· Gold πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Gold 🐣 Hot Topic Early Bird
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Papers

Arcadia: Toward a Full-Lifecycle Framework for Embodied Lifelong Learning CVPR 2026 Evolving Generalist Virtual Agents with Generative and Associative Memory AAAI 2026 Learning to Adapt: Self-Improving Web Agent via Cognitive-Aware Exploration CVPR 2026 MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models ACL 2026 PILOT: Planning via Internalized Latent Optimization Trajectories for Large Language Models ACL 2026 WEAVE: Unleashing and Benchmarking the In-context Interleaved Comprehension and Generation CVPR 2026 WiseEdit: Benchmarking Cognition- and Creativity-Informed Image Editing CVPR 2026 Align2LLaVA: Cascaded Human and Large Language Model Preference Alignment for Multi-modal Instruction Curation ACL 2025 AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea CVPR 2025 Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program ICCV 2025 Boosting Virtual Agent Learning and Reasoning: A Step-Wise, Multi-Dimensional, and Generalist Reward Model with Benchmark ICML 2025 ChatMap: Mining Human Thought Processes for Customer Service Chatbots via Multi-Agent Collaboration ACL 2025 Choice is what matters after Attention AISTATS 2025 Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens CVPR 2025 HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation ICML 2025 Iris: Breaking GUI Complexity with Adaptive Focus and Self-Refining ICCV 2025 ITERATE: Image-Text Enhancement, Retrieval, and Alignment for Transmodal Evolution with LLMs COLING 2025 Logic Distillation: Learning from Code Function by Function for Decision-making Tasks IJCAI 2025 Mastering Collaborative Multi-modal Data Selection: A Focus on Informativeness, Uniqueness, and Representativeness ICCV 2025 Meta-Reflection: A Feedback-Free Reflection Learning Framework ACL 2025 On Path to Multimodal Generalist: General-Level and General-Bench ICML 2025 STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training CVPR 2025 TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition ACL 2025 The Best of Both Worlds: Integrating Language Models and Diffusion Models for Video Generation ICCV 2025 What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities ICML 2025 Auto-Encoding Morph-Tokens for Multimodal LLM ICML 2024 Bridging Local Details and Global Context in Text-Attributed Graphs EMNLP 2024 Data Shunt: Collaboration of Small and Large Models for Lower Costs and Better Performance AAAI 2024 DIEM: Decomposition-Integration Enhancing Multimodal Insights CVPR 2024 Efficient Tuning and Inference for Large Language Models on Textual Graphs IJCAI 2024 Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions ICLR 2024 HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data CVPR 2024 Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning ICML 2024 NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models ICML 2024 Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer CVPR 2024 T2S-GPT: Dynamic Vector Quantization for Autoregressive Sign Language Production from Text ACL 2024 Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration NeurIPS 2024 Unified Generative and Discriminative Training for Multi-modal Large Language Models NeurIPS 2024 Continual Vision-Language Representation Learning with Off-Diagonal Information ICML 2023 Global Structure Knowledge-Guided Relation Extraction Method for Visually-Rich Document EMNLP 2023 Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models ICCV 2023 KICE: A Knowledge Consolidation and Expansion Framework for Relation Extraction AAAI 2023 Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels ICCV 2023 Reasoning Makes Good Annotators : An Automatic Task-specific Rules Distilling Framework for Low-resource Relation Extraction EMNLP 2023 Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization EMNLP 2023 SkillQG: Learning to Generate Question for Reading Comprehension Assessment ACL 2023 SmartBERT: A Promotion of Dynamic Early Exiting Mechanism for Accelerating BERT Inference IJCAI 2023 Visually-Prompted Language Model for Fine-Grained Scene Graph Generation in an Open World ICCV 2023 Compositional Temporal Grounding With Structured Variational Cross-Graph Correspondence Learning CVPR 2022 Feeding What You Need by Understanding What You Learned ACL 2022 Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning EMNLP 2022 Fine-Grained Semantically Aligned Vision-Language Pre-Training NeurIPS 2022 Learning To Learn by Jointly Optimizing Neural Architecture and Weights CVPR 2022 Mask the Correct Tokens: An Embarrassingly Simple Approach for Error Correction EMNLP 2022 On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals AAAI 2022 QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance EMNLP 2022 Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile ICML 2022 RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning IJCAI 2022 Adaptive Hierarchical Graph Reasoning With Semantic Coherence for Video-and-Language Inference ICCV 2021 CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction ACL 2021 Consensus Graph Representation Learning for Better Grounded Image Captioning AAAI 2021 Disentangled Motif-aware Graph Learning for Phrase Grounding AAAI 2021 Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training AAAI 2021 Learning to Generate Visual Questions with Noisy Supervision NeurIPS 2021 Semi-Supervised Active Learning for Semi-Supervised Models: Exploit Adversarial Examples With Graph-Based Virtual Labels ICCV 2021 Alleviate Dataset Shift Problem in Fine-grained Entity Typing with Virtual Adversarial Training IJCAI 2020 Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video Description IJCAI 2020 Neural-DINF: A Neural Network based Framework for Measuring Document Influence ACL 2020 Rethinking the Bottom-Up Framework for Query-Based Video Localization AAAI 2020 Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation CVPR 2020 Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation Extraction AAAI 2019 Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering NAACL 2019 KCAT: A Knowledge-Constraint Typing Annotation Tool ACL 2019 Learning Dynamic Context Augmentation for Global Entity Linking EMNLP 2019 Posterior-regularized REINFORCE for Instance Selection in Distant Supervision NAACL 2019 NITE: A Neural Inductive Teaching Framework for Domain Specific NER EMNLP 2017 Sketch the Storyline with CHARCOAL: A Non-Parametric Approach IJCAI 2015