Yihong Liu
28 papers · 2022–2026 · 6 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (48) 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🔬 Deep Specialist (15)
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Research topics
Natural Language Processing
(24)
Resources & Methods
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Artificial Intelligence
(16)
Machine Learning
(16)
Deep Learning
(10)
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Learning Types · Machine Learning
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Learning Types · Deep Learning
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Core Methods
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Keywords
large language model
(6)
cross-lingual transfer
(5)
low-resource language
(5)
multilingual nlp
(3)
representation learning
(3)
multilingual language model
(3)
factual knowledge
(3)
in-context learning
(2)
contrastive learning
(2)
cross-lingual consistency
(2)
transfer learning
(2)
neural machine translation
(2)
sentence representation
(2)
multilingual pretrained language model
(2)
cross-lingual alignment
(2)
machine translation
(2)
language model
(2)
parallel corpus
(1)
model evaluation
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curriculum learning
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Papers
A Comprehensive Evaluation of Multilingual Chain-of-Thought Reasoning: Performance, Consistency, and Faithfulness Across Languages
EACL 2026
Evaluating Robustness of Large Language Models Against Multilingual Typographical Errors
ACL 2026
Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation
ACL 2026
A Generative Pre-Trained Language Model for Channel Prediction in Wireless Communications Systems
EMNLP 2025
BlackboxNLP-2025 MIB Shared Task: Exploring Ensemble Strategies for Circuit Localization Methods
EMNLP 2025
Construction-Based Reduction of Translationese for Low-Resource Languages: A Pilot Study on Bavarian
ACL 2025
Exploring the Role of Transliteration in In-Context Learning for Low-resource Languages Written in Non-Latin Scripts
EMNLP 2025
How Programming Concepts and Neurons Are Shared in Code Language Models
ACL 2025
How Transliterations Improve Crosslingual Alignment
COLING 2025
HYPEROFA: Expanding LLM Vocabulary to New Languages via Hypernetwork-Based Embedding Initialization
ACL 2025
LangSAMP: Language-Script Aware Multilingual Pretraining
ACL 2025
Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models
ACL 2025
M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis
EMNLP 2025
On Relation-Specific Neurons in Large Language Models
EMNLP 2025
Tracing Multilingual Factual Knowledge Acquisition in Pretraining
EMNLP 2025
TransMI: A Framework to Create Strong Baselines from Multilingual Pretrained Language Models for Transliterated Data
COLING 2025
Understanding In-Context Machine Translation for Low-Resource Languages: A Case Study on Manchu
ACL 2025
Your Pretrained Model Tells the Difficulty Itself: A Self-Adaptive Curriculum Learning Paradigm for Natural Language Understanding
ACL 2025
Breaking the Script Barrier in Multilingual Pre-Trained Language Models with Transliteration-Based Post-Training Alignment
EMNLP 2024
MoSECroT: Model Stitching with Static Word Embeddings for Crosslingual Zero-shot Transfer
NAACL 2024
OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued Pretraining
NAACL 2024
SynthEval: Hybrid Behavioral Testing of NLP Models with Synthetic CheckLists
EMNLP 2024
TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models
ACL 2024
Acoustic Sensing and Communication Using Metasurface
NSDI 2023
A Crosslingual Investigation of Conceptualization in 1335 Languages
ACL 2023
Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs
EMNLP 2023
On the Copying Problem of Unsupervised NMT: A Training Schedule with a Language Discriminator Loss
ACL 2023
Flow-Adapter Architecture for Unsupervised Machine Translation
ACL 2022