Xian Li
58 papers · 2017–2026 · 12 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (92) π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Pioneer
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Deep Specialist
(14)
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Mega-Team Β· Squad
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Triple Crown
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Topic Evolution
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Keyword Champion
(5)
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Keyword Pioneer
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Prolific
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Keyword Collector
(259)
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Century Club Β· Silver
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Renaissance Researcher
(7)
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(40)
Natural Language Processing
(35)
Artificial Intelligence
(34)
Applications
(25)
Core AI
(25)
Learning Types Β· Machine Learning
(23)
Deep Learning
(22)
Learning Paradigms
(15)
Learning Types Β· Deep Learning
(13)
Application Areas
(12)
Optimization & Theory
(11)
Resources & Methods
(11)
Architectures
(8)
Core Methods
(7)
Models
(6)
Keywords
neural machine translation
(8)
large language model
(7)
transfer learning
(7)
attribute value extraction
(5)
domain adaptation
(5)
machine translation
(4)
multilingual model
(4)
self-supervised learning
(4)
speech translation
(4)
multimodal learning
(3)
cross-lingual transfer
(3)
multi-task learning
(3)
question answering
(3)
knowledge distillation
(3)
instruction following
(3)
few-shot learning
(3)
weakly supervised learning
(3)
information extraction
(3)
label noise
(3)
multilingual translation
(2)
Papers
Arcadia: Toward a Full-Lifecycle Framework for Embodied Lifelong Learning
CVPR 2026
VAR RL Done Right: Tackling Asynchronous Policy Conflicts in Visual Autoregressive Generation
CVPR 2026
ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations
NAACL 2025
DORM: Preference Data Weights Optimization for Reward Modeling in LLM Alignment
EMNLP 2025
Forensics-Bench: A Comprehensive Forgery Detection Benchmark Suite for Large Vision Language Models
CVPR 2025
Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge
ICML 2025
Train a Unified Multimodal Data Quality Classifier with Synthetic Data
EMNLP 2025
UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations
ACL 2025
Better Alignment with Instruction Back-and-Forth Translation
EMNLP 2024
Branch-Solve-Merge Improves Large Language Model Evaluation and Generation
NAACL 2024
Chain-of-Verification Reduces Hallucination in Large Language Models
ACL 2024
Data Diversity Matters for Robust Instruction Tuning
EMNLP 2024
MEMORYLLM: Towards Self-Updatable Large Language Models
ICML 2024
Self-Alignment with Instruction Backtranslation
ICLR 2024
Self-Rewarding Language Models
ICML 2024
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models
NeurIPS 2024
Stronger, Lighter, Better: Towards Life-Long Attribute Value Extraction for E-Commerce Products
ACL 2024
To the Globe (TTG): Towards Language-Driven Guaranteed Travel Planning
EMNLP 2024
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs
ACL 2023
Generative Models for Product Attribute Extraction
EMNLP 2023
Knowledge-Selective Pretraining for Attribute Value Extraction
EMNLP 2023
Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models
EACL 2023
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction
ACL 2023
Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog
ACL 2023
Towards A Unified View of Sparse Feed-Forward Network in Pretraining Large Language Model
EMNLP 2023
Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach
ACL 2023
Ask-and-Verify: Span Candidate Generation and Verification for Attribute Value Extraction
EMNLP 2022
ATST: Audio Representation Learning with Teacher-Student Transformer
Interspeech 2022
Efficient Large Scale Language Modeling with Mixtures of Experts
EMNLP 2022
Few-shot Learning with Multilingual Generative Language Models
EMNLP 2022
Lifting the Curse of Multilinguality by Pre-training Modular Transformers
NAACL 2022
Prototype-Representations for Training Data Filtering in Weakly-Supervised Information Extraction
EMNLP 2022
ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection
EMNLP 2022
Unified Speech-Text Pre-training for Speech Translation and Recognition
ACL 2022
Adaptive Label Noise Cleaning With Meta-Supervision for Deep Face Recognition
ICCV 2021
Distributionally Robust Multilingual Machine Translation
EMNLP 2021
FST: the FAIR Speech Translation System for the IWSLT21 Multilingual Shared Task
ACL 2021
Gender bias amplification during Speed-Quality optimization in Neural Machine Translation
ACL 2021
Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task
ACL 2021
Improving Zero-Shot Translation by Disentangling Positional Information
ACL 2021
Multilingual Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders
EACL 2021
Multilingual Speech Translation from Efficient Finetuning of Pretrained Models
ACL 2021
Multilingual Translation from Denoising Pre-Training
ACL 2021
Pay Better Attention to Attention: Head Selection in Multilingual and Multi-Domain Sequence Modeling
NeurIPS 2021
Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation
EACL 2021
Robust Optimization for Multilingual Translation with Imbalanced Data
NeurIPS 2021
Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms
AISTATS 2021
Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation
ACL 2020
Cross-lingual Retrieval for Iterative Self-Supervised Training
NeurIPS 2020
Deep Transformers with Latent Depth
NeurIPS 2020
Findings of the Fourth Workshop on Neural Generation and Translation
ACL 2020
Findings of the WMT 2020 Shared Task on Machine Translation Robustness
EMNLP 2020
Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition
CVPR 2020
Findings of the First Shared Task on Machine Translation Robustness
ACL 2019
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow
EMNLP 2019
On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models
NAACL 2019
CVTE at IJCNLP-2017 Task 1: Character Checking System for Chinese Grammatical Error Diagnosis Task
IJCNLP 2017
Deep Voice: Real-time Neural Text-to-Speech
ICML 2017