Wenya Wang
Assistant Professor
Works on natural language processing, language reasoning, multimodal learning and agentic frameworks.
Wenya Wang's lab at NTU works on reasoning & agents, multimodal & grounded language and vision-language & multimodal. 60 papers since 2023, 5 at top venues, mostly TASLP and CVPR. 12 PhD students and 1 master's student.
At a glance
- papers, 2023–2026
- 16/ year
- at T1 venues
- 8%
- PhD students
- 12
- MS students
- 1
- alumni listed
- 0
Papers by yearfrom the lab homepage, 2023–2026
- 31 papers2026 · T1 4 · collecting
- 17 papers2025 · T1 1
- 7 papers2024 · T1 0
- 5 papers2023 · T1 0
T1 venuesOtherVenues: TASLP, CVPR, SIGIR
Research focuspaper titles that use each topic's words
- Multimodal & grounded language20 papers
- Vision-language & multimodal20 papers
- Reasoning & agents11 papers
- multimodal learning0 papers
- frameworks0 papers
Paper list
From the lab homepage.
202631 papers
- Transactions on Machine Learning Research (TMLR), . 🏆 Survey Certification AwardA Survey of Agent Memory in the Second Half: Towards Self-Evolving and Long-Horizon Agents
- CVPR (T1)Beyond Heuristic Prompting: A Concept-Guided Bayesian Framework for Zero-Shot Image Recognition
- Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-findings)Beyond the Wrong Bit: Failure States and the Supervision Unit in Verifiable Reasoning
- The Fortieth AAAI Conference on Artificial Intelligence (AAAI)Causality Matters: How Temporal Information Emerges in Video Language Models?
- The Fourteenth International Conference on Learning Representations (ICLR)CLUE: Conflict-guided Localization for LLM Unlearning Framework
- The Annual Meeting of the Association for Computational Linguistics (ACL-main)Coordinating Search-Informed Reasoning and Reasoning-Guided Search in Claim Verification
- Proceedings of the Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS)DAWN: Dependency-Aware Fast Inference for Diffusion LLMs
- The Annual Meeting of the Association for Computational Linguistics (ACL-main)From Competition to Synergy: Unlocking Reinforcement Learning for Subject-Driven Image Generation
- Findings of the Annual Meeting of the Association for Computational Linguistics (ACL-findings)From What Is Said to Why It Is Framed: Intent-Aware News Video Understanding
- Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-findings)Grounding Structure in Language: Enriching Symbolic Representations for Molecular Reasoning
- The Fourteenth International Conference on Learning Representations (ICLR)Knowledge Fusion of Large Language Models via Modular SkillPacks
- TASLP (T1)Large Language Model-Enhanced Symbolic Reasoning for Knowledge Base Completion
202517 papers
- Findings of the Annual Meeting of the Association for Computational Linguistics (ACL-Finding)Adaptive Detoxification: Safeguarding General Capabilities of LLMs through Toxicity-Aware Knowledge Editing
- The Conference on Language Modeling (COLM-25)Backdoor Attacks on Dense Passage Retrievers for Disseminating Misinformation
- The Web Conference (WWW-25)Damage analysis via bidirectional multi-task cascaded multimodal fusion
- The Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL-main)Decomposition Dilemmas: Does Claim Decomposition Boost or Burden Fact-Checking Performance?
- TASLP (T1)Enhancing Multimodal Object-Entity Relation Extraction via Multi-Aspect Contrastive Learning in Large Multimodal Models
- The Conference on Empirical Methods in Natural Language Processing (EMNLP-main)Exploring Quality and Diversity in Synthetic Data Generation for Argument Mining
- The International Conference on Computational Linguistics (COLING-25)Language Models over Large-Scale Knowledge Base: on Capacity, Flexibility and Reasoning for New Facts
- The Annual Meeting of the Association for Computational Linguistics (ACL-main)MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming
- The Annual Meeting of the Association for Computational Linguistics (ACL-main)Multi-Modality Expansion and Retention for LLMs through Parameter Merging and Decoupling
- The Annual Meeting of the Association for Computational Linguistics (ACL-main)Quantifying Semantic Emergence in Language Models
- The Annual AAAI Conference on Artificial Intelligence (AAAI-25)Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation
- Findings of the Annual Meeting of the Association for Computational Linguistics (ACL-Finding)Reinforcing Compositional Retrieval: Retrieving Step-by-Step for Composing Informative Contexts
20247 papers
- Findings of the Annual Meeting of the Association for Computational Linguistics (ACL-24)Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification
- The Conference on Language Modeling (COLM-24)Does In-Context Learning Really Learn? Rethinking How Large Language Models Respond and Solve Tasks via In-Context Learning
- ACM International Conference on Multimedia (ACM MM)Generative Multimodal Data Augmentation for Low-Resource Multimodal Named Entity Recognition
- ACM International Conference on Information and Knowledge Management (CIKM-24)Progressive multimodal pivot learning: towards semantic discordance understanding as humans
- ACM International Conference on Multimedia (ACM MM)Sentiment-oriented sarcasm integration for video sentiment analysis enhancement with sarcasm assistance
- The Annual Meeting of the Association for Computational Linguistics (ACL-24)TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detection
- The Annual Meeting of the Association for Computational Linguistics (ACL-24, main)Training Language Models to Generate Text with Citations via Fine-grained Rewards
20235 papers
- The Conference on Empirical Methods in Natural Language Processing (EMNLP-main)Adapt in Contexts: Effective Domain Adaptation via In-Context Learning
- The Annual Meeting of the Association for Computational Linguistics (ACL-main)Elaboration-Generating Commonsense Question Answering at Scale
- Findings of the Annual Meeting of the Association for Computational Linguistics (ACL-main)Interpretable Multimodal Misinformation Detection with Logic Reasoning
- IEEE Transactions on Information Forensics and SecurityRobust Domain Misinformation Detection via Multi-modal Feature Alignment
- The Conference on Empirical Methods in Natural Language Processing (EMNLP-main)Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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