Tong Yu

A Survey on LLM-based Conversational User Simulation EACL 2026 CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing ACL 2026 Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs EACL 2026 VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use AAAI 2026 ARTIST: Improving the Generation of Text-Rich Images with Disentangled Diffusion Models and Large Language Models WACV 2025 Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion EMNLP 2025 Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs COLING 2025 Causal Discovery-Driven Change Point Detection in Time Series AISTATS 2025 CoMMIT: Coordinated Multimodal Instruction Tuning EMNLP 2025 Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering NAACL 2025 Doc-React: Multi-page Heterogeneous Document Question-answering ACL 2025 Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models COLING 2025 Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics EMNLP 2025 Extending Applications Safely and Efficiently OSDI 2025 Federated In-Context Learning: Iterative Refinement for Improved Answer Quality ICML 2025 Federated Retrieval Augmented Generation for Multi-Product Question Answering COLING 2025 From Selection to Generation: A Survey of LLM-based Active Learning ACL 2025 Fully Dynamic Embedding into ℓ_p Spaces ICML 2025 GUI Agents: A Survey ACL 2025 Image Difference Captioning via Adversarial Preference Optimization EMNLP 2025 Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval NAACL 2025 LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles EMNLP 2025 Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey NAACL 2025 Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent EMNLP 2025 Numerical Pruning for Efficient Autoregressive Models AAAI 2025 OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models ICLR 2025 Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation ICML 2025 SAND: Boosting LLM Agents with Self-Taught Action Deliberation EMNLP 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 Understanding Writing Assistants for Scientific Figure Captions: A Thematic Analysis NAACL 2025 Advancing Vision-Language Models with Adapter Ensemble Strategies EMNLP 2024 Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback NAACL 2024 Calibrating Reasoning in Language Models with Internal Consistency NeurIPS 2024 DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention ACL 2024 Editing Partially Observable Networks via Graph Diffusion Models ICML 2024 Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning EACL 2024 Hallucination Diversity-Aware Active Learning for Text Summarization NAACL 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 Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model JMLR 2024 The Closeness of In-Context Learning and Weight Shifting for Softmax Regression NeurIPS 2024 ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search ICLR 2024 Causal Discovery in Semi-Stationary Time Series NeurIPS 2023 ChordMixer: A Scalable Neural Attention Model for Sequences with Different Length ICLR 2023 Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs ICLR 2023 Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets ACL 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 Online Corrupted User Detection and Regret Minimization NeurIPS 2023 Reinforced Approximate Exploratory Data Analysis AAAI 2023 Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models CVPR 2023 Understanding Demonstration-based Learning from a Causal Perspective ACL 2023 Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling EMNLP 2022 Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations EMNLP 2022 EI-CLIP: Entity-Aware Interventional Contrastive Learning for E-Commerce Cross-Modal Retrieval CVPR 2022 Federated online clustering of bandits UAI 2022 Few-Shot Class-Incremental Learning for Named Entity Recognition ACL 2022 Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better Than Dot-Product Self-Attention CVPR 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 Graphical Models Meet Bandits: A Variational Thompson Sampling Approach ICML 2020 Towards Hands-Free Visual Dialog Interactive Recommendation AAAI 2020 Scalable Thompson Sampling via Optimal Transport AISTATS 2019 Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning NeurIPS 2019 Markov Chain Analysis of Noise and Restart in Stochastic Local Search IJCAI 2016 Combination of Feature Engineering and Ranking Models for Paper-Author Identification in KDD Cup 2013 JMLR 2015 Effective String Processing and Matching for Author Disambiguation JMLR 2014