Xiaobao Wu
Assistant Professor
Works on natural language processing, including topic modeling and large language models.
Xiaobao Wu's lab at SJTU works on large language models. 49 papers since 2023, 28 at top venues, mostly ACL and AAAI. Applications close .
At a glance
- papers, 2023–2026
- 13/ year
- at T1 venues
- 57%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 12 papers2026 · T1 6 · collecting
- 19 papers2025 · T1 10
- 12 papers2024 · T1 9
- 6 papers2023 · T1 3
T1 venuesOtherVenues: ACL, AAAI, EMNLP, ICML, NAACL
Research focuspaper titles that use each topic's words
- Large language models19 papers
- language8 papers
- modeling8 papers
- topic7 papers
- language processing0 papers
Paper list
From the lab homepage.
202612 papers
- ICML (T1)Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning
- ACL (T1)Learning Uncertainty from Internal Dispersion
- ACL (T1)MUR: Momentum Uncertainty Guided Reasoning for Large Language Models
- Findings of Conference on Empirical Methods in Natural Language ProcessingNo Action Without a NOD: A Heterogeneous Multi-Agent Architecture for Reliable Service Agents
- Findings of Annual Meeting of the Association for Computational LinguisticsP2P: A Poison-to-Poison Remedy for Reliable Backdoor Defense in LLMs
- TIFSProtecting Your Customized LLM Systems from Backdoored Instructions with Metacognitive Probing (opens in a new tab)
- WWW (T1)Read as You See: Guiding Unimodal LLMs for Low-Resource Explainable Harmful Meme Detection (opens in a new tab)
- Findings of Annual Meeting of the Association for Computational LinguisticsThree Minds, One Legend: Jailbreak Large Reasoning Model with Adaptive Stacked Ciphers
- ACL (T1)Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures
- Findings of Conference on Empirical Methods in Natural Language ProcessingTowards Reliable Truth-Aligned Uncertainty Estimation in Large Language Models
- Findings of Annual Meeting of the Association for Computational LinguisticsUnderstanding and Preventing Entropy Collapse in RLVR with On-Policy Entropy Flow Optimization
- USENIX Security (T1)When Memory Becomes a Vulnerability: Towards Multi-turn Jailbreak Attacks against Text-to-Image Generation Systems (opens in a new tab)
202519 papers
- Findings of Conference on Empirical Methods in Natural Language ProcessingA Comprehensive Survey on Learning from Rewards for Large Language Models: Reward Models and Learning Strategies (opens in a new tab)
- TMLR (T1)A Survey of Recent Backdoor Attacks and Defenses in Large Language Models (opens in a new tab)
- TAFFCAffective-ROPTester: Capability and Bias Analysis of LLMs in Predicting Retinopathy of Prematurity (opens in a new tab)
- ACL (T1)AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge (opens in a new tab)
- Annual Meeting of the Association for Computational Linguistics: System Demonstration TrackCodeArena: A Collective Evaluation Platform for LLM Code Generation (opens in a new tab)
- SACCurriculum Demonstration Selection for In-Context Learning (opens in a new tab)
- NAACL (T1)Enhancing Multimodal Entity Linking with Jaccard Distance-based Conditional Contrastive Learning and Contextual Visual Augmentation (opens in a new tab)
- Findings of Annual Meeting of the Association for Computational LinguisticsFull-Step-DPO: Self-Supervised Preference Optimization with Step-wise Rewards for Mathematical Reasoning (opens in a new tab)
- NeurIPS (T1)HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation (opens in a new tab)
- ICML (T1)KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search (opens in a new tab)
- AAAI (T1)Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation (opens in a new tab)
- Findings of Conference on Empirical Methods in Natural Language ProcessingMRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering (opens in a new tab)
202412 papers
- AIRA Survey on Neural Topic Models: Methods, Applications, and Challenges (opens in a new tab)
- EMNLP (T1)AKEW: Assessing Knowledge Editing in the Wild (opens in a new tab)
- EMNLP (T1)Are LLMs Good Zero-shot Fallacy Classifiers? (opens in a new tab)
- EMNLP (T1)Encoding and Controlling Global Semantics for Long-form Video Question Answering (opens in a new tab)
- NeurIPS (T1)FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model (opens in a new tab)
- NAACL (T1)KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning (opens in a new tab)
- ECCV (T1)Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning (opens in a new tab)
- Findings of Annual Meeting of the Association for Computational LinguisticsModeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion (opens in a new tab)
- AAAI (T1)On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling (opens in a new tab)
- AAAI (T1)READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling (opens in a new tab)
- ICLR (T1)Topic Modeling as Multi-Objective Contrastive Optimization (opens in a new tab)
- Annual Meeting of the Association for Computational Linguistics: System Demonstration TrackTowards the TopMost: A Topic Modeling System Toolkit (opens in a new tab)
20236 papers
- Findings of Conference on Empirical Methods in Natural Language ProcessingDemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding (opens in a new tab)
- ICML (T1)Effective Neural Topic Modeling with Embedding Clustering Regularization (opens in a new tab)
- ACL (T1)Fact-Checking Complex Claims with Program-Guided Reasoning (opens in a new tab)
- Findings of Annual Meeting of the Association for Computational LinguisticsGradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction (opens in a new tab)
- AAAI (T1)InfoCTM: A Mutual Information Maximization Perspective of Cross-lingual Topic Modeling (opens in a new tab)
- Findings of Annual Meeting of the Association for Computational LinguisticsZero-Shot Text Classification via Self-Supervised Tuning
Where alumni went
Alumni are not listed on the lab homepage.
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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