Ruiyi Zhang

A Survey on LLM-based Conversational User Simulation EACL 2026 BioTool: A Comprehensive Tool-Calling Dataset for Enhancing Biomedical Capabilities of Large Language Models ACL 2026 CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing ACL 2026 Decomposition-Enhanced Training for Post-Hoc Attributions in Language Models EACL 2026 Lizard: An Efficient Linearization Framework for Large Language Models ACL 2026 OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive AAAI 2026 VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use AAAI 2026 A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation COLING 2025 ARTIST: Improving the Generation of Text-Rich Images with Disentangled Diffusion Models and Large Language Models WACV 2025 Can Prompts Rewind Time for LLMs? Evaluating the Effectiveness of Prompted Knowledge Cutoffs EMNLP 2025 Defense against Prompt Injection Attacks via Mixture of Encodings NAACL 2025 Doc-React: Multi-page Heterogeneous Document Question-answering ACL 2025 From Selection to Generation: A Survey of LLM-based Active Learning ACL 2025 GUI Agents: A Survey ACL 2025 GUI-Bee: Align GUI Action Grounding to Novel Environments via Autonomous Exploration EMNLP 2025 Multimodal LLMs as Customized Reward Models for Text-to-Image Generation ICCV 2025 Numerical Pruning for Efficient Autoregressive Models AAAI 2025 Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes NAACL 2025 SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding ICLR 2025 ADOPD: A Large-Scale Document Page Decomposition Dataset ICLR 2024 AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning NAACL 2024 Automatic Layout Planning for Visually-Rich Documents with Instruction-Following Models ACL 2024 BLO-SAM: Bi-level Optimization Based Finetuning of the Segment Anything Model for Overfitting-Preventing Semantic Segmentation ICML 2024 Customization Assistant for Text-to-Image Generation CVPR 2024 Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning EACL 2024 KaPQA: Knowledge-Augmented Product Question-Answering ACL 2024 Knowledge Graph Prompting for Multi-Document Question Answering AAAI 2024 Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning NAACL 2024 Self-Cleaning: Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances NAACL 2024 SOHES: Self-supervised Open-world Hierarchical Entity Segmentation ICLR 2024 TextLap: Customizing Language Models for Text-to-Layout Planning EMNLP 2024 Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints ICLR 2024 TRINS: Towards Multimodal Language Models that Can Read CVPR 2024 A Critical Analysis of Document Out-of-Distribution Detection EMNLP 2023 Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets ACL 2023 Few-Shot Composition Learning for Image Retrieval with Prompt Tuning AAAI 2023 InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding NeurIPS 2023 Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels NeurIPS 2023 Learning Navigational Visual Representations with Semantic Map Supervision ICCV 2023 Understanding Demonstration-based Learning from a Causal Perspective ACL 2023 Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling EMNLP 2022 Few-Shot Class-Incremental Learning for Named Entity Recognition ACL 2022 Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns ACL 2022 Robustness of Demonstration-based Learning Under Limited Data Scenario EMNLP 2022 Text-Based Interactive Recommendation via Offline Reinforcement Learning AAAI 2022 TiGAN: Text-Based Interactive Image Generation and Manipulation AAAI 2022 Towards Language-Free Training for Text-to-Image Generation CVPR 2022 Graphine: A Dataset for Graph-aware Terminology Definition Generation EMNLP 2021 Improving Zero-Shot Voice Style Transfer via Disentangled Representation Learning ICLR 2021 Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes AAAI 2021 Bayesian Meta Sampling for Fast Uncertainty Adaptation ICLR 2020 Figure Captioning with Relation Maps for Reasoning WACV 2020 Graphical Models Meet Bandits: A Variational Thompson Sampling Approach ICML 2020 Improving Adversarial Text Generation by Modeling the Distant Future ACL 2020 Improving Text Generation with Student-Forcing Optimal Transport EMNLP 2020 Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions AAAI 2020 Nested-Wasserstein Self-Imitation Learning for Sequence Generation AISTATS 2020 Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference EMNLP 2020 Semantic Matching for Sequence-to-Sequence Learning EMNLP 2020 Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory AISTATS 2020 Improving Sequence-to-Sequence Learning via Optimal Transport ICLR 2019 Improving Textual Network Learning with Variational Homophilic Embeddings NeurIPS 2019 Scalable Thompson Sampling via Optimal Transport AISTATS 2019 Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning NeurIPS 2019 Topic-Guided Variational Auto-Encoder for Text Generation NAACL 2019 Understanding and Accelerating Particle-Based Variational Inference ICML 2019 Variational Annealing of GANs: A Langevin Perspective ICML 2019 Adversarial Text Generation via Feature-Mover's Distance NeurIPS 2018 Learning Structural Weight Uncertainty for Sequential Decision-Making AISTATS 2018 Policy Optimization as Wasserstein Gradient Flows ICML 2018 Variational Inference and Model Selection with Generalized Evidence Bounds ICML 2018