Thuy-Trang Vu
23 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
Achievements
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Prolific Year
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Conferences
EMNLP (9)
ACL (8)
EACL (2)
COLING (1)
CONLL (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
large language model
(9)
domain adaptation
(4)
neural machine translation
(4)
question answering
(3)
machine translation
(2)
table understanding
(2)
transfer learning
(2)
long-term planning
(2)
multilingual nlp
(1)
domain generalization
(1)
contrastive learning
(1)
preference alignment
(1)
fact verification
(1)
temporal reasoning
(1)
self-supervised learning
(1)
adversarial learning
(1)
cross-lingual transfer
(1)
decision making
(1)
chain-of-thought reasoning
(1)
question decomposition
(1)
Papers
Discourse Graph Guided Document Translation with Large Language Models
EACL 2026
CONGRAD: Conflicting Gradient Filtering for Multilingual Preference Alignment
EACL 2026
LiveCultureBench: a Multi-Agent, Multi-Cultural Benchmark for Large Language Models in Dynamic Social Simulations
ACL 2026
Planning for Success: Exploring LLM Long-term Planning Capabilities in Table Understanding
ACL 2025
Conversational SimulMT: Efficient Simultaneous Translation with Large Language Models
ACL 2025
Extending LLMs to New Languages: A Case Study of Llama and Persian Adaptation
COLING 2025
Planning for Success: Exploring LLM Long-term Planning Capabilities in Table Understanding
CONLL 2025
Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them
ICLR 2025
SCAR: Data Selection via Style Consistency-Aware Response Ranking for Efficient Instruction-Tuning of Large Language Models
ACL 2025
Proverbs Run in Pairs: Evaluating Proverb Translation Capability of Large Language Model
ACL 2025
MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora
EMNLP 2025
Discrete Minds in a Continuous World: Do Language Models Know Time Passes?
EMNLP 2025
The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph
ICML 2025
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models
EMNLP 2024
Exploring the Potential of Multimodal LLM with Knowledge-Intensive Multimodal ASR
EMNLP 2024
Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs
ACL 2024
Koala: An Index for Quantifying Overlaps with Pre-training Corpora
EMNLP 2023
Domain Generalisation of NMT: Fusing Adapters with Leave-One-Domain-Out Training
ACL 2022
Can Domains Be Transferred across Languages in Multi-Domain Multilingual Neural Machine Translation?
EMNLP 2022
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection
EMNLP 2021
Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models
EMNLP 2020
Learning How to Active Learn by Dreaming
ACL 2019
Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach
EMNLP 2018