Tongtong Wu
15 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (7) π Cross-Pollinator (14)
π
Cross-Pollinator
(14)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(38)
π€
Dynamic Duo
(10)
π§¬
Topic Evolution
π
Century Club
(14)
ποΈ
Keyword Collector
(71)
π₯
Unstoppable
(6)
β
The Questioner
Conferences
ACL (4)
EMNLP (4)
AAAI (3)
COLING (1)
ICLR (1)
IJCAI (1)
IJCNLP (1)
Top co-authors
Keywords
large language model
(4)
continual learning
(4)
catastrophic forgetting
(2)
relation extraction
(2)
few-shot learning
(2)
knowledge graph
(2)
semi-supervised learning
(1)
preference learning
(1)
benchmark evaluation
(1)
curriculum learning
(1)
variational inference
(1)
direct preference optimization
(1)
weakly supervised learning
(1)
zero-shot learning
(1)
speech processing
(1)
information extraction
(1)
speech recognition
(1)
text generation
(1)
multimodal learning
(1)
probabilistic modeling
(1)
Papers
TaxReasoning: Benchmarking Knowledge-Intensive Mathematical Reasoning with Evolving Tax Laws
AAAI 2026
Continual Learning of Large Language Models
EMNLP 2025
Can LLMs Evaluate Complex Attribution in QA? Automatic Benchmarking using Knowledge Graphs
ACL 2025
MPO: Multilingual Safety Alignment via Reward Gap Optimization
ACL 2025
Continual Multimodal Knowledge Graph Construction
IJCAI 2024
Learn from Yesterday: A Semi-supervised Continual Learning Method for Supervision-Limited Text-to-SQL Task Streams
AAAI 2023
NormMark: A Weakly Supervised Markov Model for Socio-cultural Norm Discovery
ACL 2023
Pretrained Language Model in Continual Learning: A Comparative Study
ICLR 2022
Event Causality Identification via Derivative Prompt Joint Learning
COLING 2022
Towards relation extraction from speech
EMNLP 2022
Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation
EMNLP 2022
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
AAAI 2021
Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection
ACL 2021
Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection
IJCNLP 2021
Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning
EMNLP 2020