Xiaobao Wu

Learning Uncertainty from Sequential Internal Dispersion in Large Language Models ACL 2026 MUR: Momentum Uncertainty guided Reasoning for Large Language Models ACL 2026 Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures ACL 2026 A Comprehensive Survey on Learning from Rewards for Large Language Models: Reward Models and Learning Strategies EMNLP 2025 AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge ACL 2025 CodeArena: A Collective Evaluation Platform for LLM Code Generation ACL 2025 Enhancing Multimodal Entity Linking with Jaccard Distance-based Conditional Contrastive Learning and Contextual Visual Augmentation NAACL 2025 Full-Step-DPO: Self-Supervised Preference Optimization with Step-wise Rewards for Mathematical Reasoning ACL 2025 KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search ICML 2025 Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation AAAI 2025 MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering EMNLP 2025 Multi-Scale Contrastive Learning for Video Temporal Grounding AAAI 2025 RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios ACL 2025 SCOPE: Compress Mathematical Reasoning Steps for Efficient Automated Process Annotation ACL 2025 Towards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings ACL 2025 Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation ACL 2025 Unsupervised Hallucination Detection by Inspecting Reasoning Processes EMNLP 2025 Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels COLING 2025 AKEW: Assessing Knowledge Editing in the Wild EMNLP 2024 Are LLMs Good Zero-Shot Fallacy Classifiers? EMNLP 2024 Encoding and Controlling Global Semantics for Long-form Video Question Answering EMNLP 2024 FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model NeurIPS 2024 KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning NAACL 2024 Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning ECCV 2024 Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion ACL 2024 On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling AAAI 2024 READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling AAAI 2024 Topic Modeling as Multi-Objective Contrastive Optimization ICLR 2024 Towards the TopMost: A Topic Modeling System Toolkit ACL 2024 DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding EMNLP 2023 Effective Neural Topic Modeling with Embedding Clustering Regularization ICML 2023 Fact-Checking Complex Claims with Program-Guided Reasoning ACL 2023 Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction ACL 2023 InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling AAAI 2023 Zero-Shot Text Classification via Self-Supervised Tuning ACL 2023 Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction EMNLP 2022 Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning EMNLP 2022 Discovering Topics in Long-tailed Corpora with Causal Intervention ACL 2021 Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder EMNLP 2020