Xiaobao Wu
40 papers · 2020–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (10) π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (9)
π
Cross-Pollinator
(9)
πΊοΈ
Taxonomy Completionist
(78)
π€
Dynamic Duo
(30)
π
Grand Slam
π₯
Unstoppable
(6)
π
Century Club
(37)
β‘
Prolific Year
(11)
β
The Questioner
ποΈ
Keyword Collector
(171)
Conferences
ACL (16)
EMNLP (10)
AAAI (5)
ICML (2)
NAACL (2)
COLING (1)
ECCV (1)
ICLR (1)
IJCNLP (1)
NIPS (1)
Top co-authors
Keywords
large language model
(9)
representation learning
(7)
contrastive learning
(7)
topic modeling
(4)
unsupervised learning
(3)
reinforcement learning
(3)
language model
(3)
self-supervised learning
(3)
neural topic model
(3)
document embedding
(2)
text classification
(2)
zero-shot learning
(2)
process reward model
(2)
uncertainty estimation
(2)
knowledge distillation
(2)
video understanding
(2)
mathematical reasoning
(2)
optimal transport
(2)
llm evaluation
(2)
hallucination detection
(2)
Papers
Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures
ACL 2026
Learning Uncertainty from Sequential Internal Dispersion in Large Language Models
ACL 2026
MUR: Momentum Uncertainty guided Reasoning for Large Language Models
ACL 2026
A Comprehensive Survey on Learning from Rewards for Large Language Models: Reward Models and Learning Strategies
EMNLP 2025
MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering
EMNLP 2025
Unsupervised Hallucination Detection by Inspecting Reasoning Processes
EMNLP 2025
Enhancing Multimodal Entity Linking with Jaccard Distance-based Conditional Contrastive Learning and Contextual Visual Augmentation
NAACL 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
RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios
ACL 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
Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation
ACL 2025
Towards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings
ACL 2025
SCOPE: Compress Mathematical Reasoning Steps for Efficient Automated Process Annotation
ACL 2025
Full-Step-DPO: Self-Supervised Preference Optimization with Step-wise Rewards for Mathematical Reasoning
ACL 2025
Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels
COLING 2025
Multi-Scale Contrastive Learning for Video Temporal Grounding
AAAI 2025
Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning
ECCV 2024
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling
AAAI 2024
On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling
AAAI 2024
Towards the TopMost: A Topic Modeling System Toolkit
ACL 2024
Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion
ACL 2024
FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model
NIPS 2024
Encoding and Controlling Global Semantics for Long-form Video Question Answering
EMNLP 2024
Are LLMs Good Zero-Shot Fallacy Classifiers?
EMNLP 2024
AKEW: Assessing Knowledge Editing in the Wild
EMNLP 2024
Topic Modeling as Multi-Objective Contrastive Optimization
ICLR 2024
KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning
NAACL 2024
DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding
EMNLP 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
Effective Neural Topic Modeling with Embedding Clustering Regularization
ICML 2023
Zero-Shot Text Classification via Self-Supervised Tuning
ACL 2023
InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling
AAAI 2023
Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning
EMNLP 2022
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction
EMNLP 2022
Discovering Topics in Long-tailed Corpora with Causal Intervention
ACL 2021
Discovering Topics in Long-tailed Corpora with Causal Intervention
IJCNLP 2021
Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder
EMNLP 2020