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 VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use AAAI 2026 Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs EACL 2026 Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey NAACL 2025 Numerical Pruning for Efficient Autoregressive Models AAAI 2025 From Selection to Generation: A Survey of LLM-based Active Learning ACL 2025 Doc-React: Multi-page Heterogeneous Document Question-answering ACL 2025 GUI Agents: A Survey ACL 2025 Causal Discovery-Driven Change Point Detection in Time Series AISTATS 2025 Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models COLING 2025 Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs COLING 2025 Federated Retrieval Augmented Generation for Multi-Product Question Answering COLING 2025 SAND: Boosting LLM Agents with Self-Taught Action Deliberation EMNLP 2025 CoMMIT: Coordinated Multimodal Instruction Tuning EMNLP 2025 Image Difference Captioning via Adversarial Preference Optimization EMNLP 2025 Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent EMNLP 2025 LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles EMNLP 2025 Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics EMNLP 2025 Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion EMNLP 2025 OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models ICLR 2025 SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding ICLR 2025 Fully Dynamic Embedding into $\ell_p$ Spaces ICML 2025 Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation ICML 2025 Federated In-Context Learning: Iterative Refinement for Improved Answer Quality ICML 2025 Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering NAACL 2025 Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval NAACL 2025 Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes NAACL 2025 Understanding Writing Assistants for Scientific Figure Captions: A Thematic Analysis NAACL 2025 Extending Applications Safely and Efficiently OSDI 2025 ARTIST: Improving the Generation of Text-Rich Images with Disentangled Diffusion Models and Large Language Models WACV 2025 The Closeness of In-Context Learning and Weight Shifting for Softmax Regression NIPS 2024 Calibrating Reasoning in Language Models with Internal Consistency NIPS 2024 Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning EACL 2024 Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model JMLR 2024 Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback NAACL 2024 Advancing Vision-Language Models with Adapter Ensemble Strategies EMNLP 2024 Editing Partially Observable Networks via Graph Diffusion Models ICML 2024 Hallucination Diversity-Aware Active Learning for Text Summarization NAACL 2024 Self-Cleaning: Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances NAACL 2024 DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention ACL 2024 ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search ICLR 2024 Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning NAACL 2024 Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets ACL 2023 Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models CVPR 2023 Causal Discovery in Semi-Stationary Time Series NIPS 2023 InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding NIPS 2023 Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs ICLR 2023 ChordMixer: A Scalable Neural Attention Model for Sequences with Different Length ICLR 2023 Online Corrupted User Detection and Regret Minimization NIPS 2023 Reinforced Approximate Exploratory Data Analysis AAAI 2023 Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels NIPS 2023 Understanding Demonstration-based Learning from a Causal Perspective ACL 2023 Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling EMNLP 2022 Federated online clustering of bandits UAI 2022 TiGAN: Text-Based Interactive Image Generation and Manipulation AAAI 2022 Text-Based Interactive Recommendation via Offline Reinforcement Learning AAAI 2022 Few-Shot Class-Incremental Learning for Named Entity Recognition ACL 2022 EI-CLIP: Entity-Aware Interventional Contrastive Learning for E-Commerce Cross-Modal Retrieval CVPR 2022 Towards Language-Free Training for Text-to-Image Generation CVPR 2022 Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better Than Dot-Product Self-Attention CVPR 2022 Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations EMNLP 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 NIPS 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