← Authors

Xuebo Liu

70 papers · 2018–2026 · 9 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (9) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13) πŸƒ Academic Marathon (7) 🏠 Conference Loyalist (21) 🀝 Dynamic Duo (40) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (21) 🧬 Topic Evolution πŸ† Keyword Champion (2) ❓ The Questioner (3) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (8) πŸ’Ž Century Club (69) πŸ—ƒοΈ Keyword Collector (260) ⚑ Prolific Year (15)

Conferences

ACL (27) EMNLP (21) AAAI (4) CVPR (4) IJCNLP (4) COLING (3) ICLR (3) ECCV (2) NIPS (2)

Top co-authors

Min Zhang (40) Derek F. Wong (28) Liang Ding (23) Lidia S. Chao (18) Dacheng Tao (16) Zhaopeng Tu (11) Longyue Wang (9) Runzhe Zhan (9) Hexuan Deng (6) Jun Rao (6)

Keywords

large language model (25) neural machine translation (12) machine translation (11) instruction tuning (7) domain adaptation (5) knowledge distillation (5) model compression (5) representation learning (4) multi-agent system (4) low-resource language (3) grammatical error correction (3) machine translation evaluation (3) transfer learning (3) in-context learning (3) curriculum learning (3) retrieval-augmented generation (3) neural network optimization (2) k-nearest neighbor (2) metric learning (2) object detection (2)

Papers

Exposing the Cracks: Vulnerabilities of Retrieval-Augmented LLM-based Machine Translation AAAI 2026
Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore COLING 2025
SeaPO: Strategic Error Amplification for Robust Preference Optimization of Large Language Models EMNLP 2025
AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration EMNLP 2025
DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs EMNLP 2025
CDT: A Comprehensive Capability Framework for Large Language Models Across Cognition, Domain, and Task EMNLP 2025
AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs EMNLP 2025
Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering AAAI 2025
DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory ICLR 2025
Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied Environments EMNLP 2025
AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration ACL 2025
SGIC: A Self-Guided Iterative Calibration Framework for RAG ACL 2025
DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization ACL 2025
UnrealLLM: Towards Highly Controllable and Interactable 3D Scene Generation by LLM-powered Procedural Content Generation ACL 2025
APT: Improving Specialist LLM Performance with Weakness Case Acquisition and Iterative Preference Training ACL 2025
Weight-Aware Activation Sparsity with Constrained Bayesian Optimization Scheduling for Large Language Models EMNLP 2025
NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates NIPS 2024
3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset COLING 2024
LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models ACL 2024
TasTe: Teaching Large Language Models to Translate through Self-Reflection ACL 2024
Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation ACL 2024
Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner EMNLP 2024
EvalCrafter: Benchmarking and Evaluating Large Video Generation Models CVPR 2024
Curriculum Consistency Learning for Conditional Sentence Generation EMNLP 2024
Self-Powered LLM Modality Expansion for Large Speech-Text Models EMNLP 2024
CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions EMNLP 2024
Revisiting Demonstration Selection Strategies in In-Context Learning ACL 2024
Improving Attributed Text Generation of Large Language Models via Preference Learning ACL 2024
DB-LLM: Accurate Dual-Binarization for Efficient LLMs ACL 2024
Domain-Aware k-Nearest-Neighbor Knowledge Distillation for Machine Translation ACL 2024
Towards Demonstration-Aware Large Language Models for Machine Translation ACL 2024
LPZero: Language Model Zero-cost Proxy Search from Zero EMNLP 2024
SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection NIPS 2024
Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigm ACL 2024
Pluggable Neural Machine Translation Models via Memory-augmented Adapters COLING 2024
Revisiting Commonsense Reasoning in Machine Translation: Training, Evaluation and Challenge ACL 2023
Improving Simultaneous Machine Translation with Monolingual Data AAAI 2023
Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization ACL 2023
kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation ACL 2023
TemplateGEC: Improving Grammatical Error Correction with Detection Template ACL 2023
Revisiting Token Dropping Strategy in Efficient BERT Pretraining ACL 2023
TransGEC: Improving Grammatical Error Correction with Translationese ACL 2023
PromptST: Abstract Prompt Learning for End-to-End Speech Translation EMNLP 2023
Clustering Pseudo Language Family in Multilingual Translation Models with Fisher Information Matrix EMNLP 2023
Can LMs Generalize to Future Data? An Empirical Analysis on Text Summarization EMNLP 2023
Towards Making the Most of ChatGPT for Machine Translation EMNLP 2023
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation EMNLP 2022
Revisiting Grammatical Error Correction Evaluation and Beyond EMNLP 2022
Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling EMNLP 2022
ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation ACL 2022
Progressive Multi-Granularity Training for Non-Autoregressive Translation ACL 2021
Progressive Multi-Granularity Training for Non-Autoregressive Translation IJCNLP 2021
On the Copying Behaviors of Pre-Training for Neural Machine Translation IJCNLP 2021
Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation AAAI 2021
On the Copying Behaviors of Pre-Training for Neural Machine Translation ACL 2021
Difficulty-Aware Machine Translation Evaluation IJCNLP 2021
Difficulty-Aware Machine Translation Evaluation ACL 2021
Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation ACL 2021
Understanding and Improving Lexical Choice in Non-Autoregressive Translation ICLR 2021
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning ICLR 2021
Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation IJCNLP 2021
On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation EMNLP 2021
Norm-Based Curriculum Learning for Neural Machine Translation ACL 2020
DocStruct: A Multimodal Method to Extract Hierarchy Structure in Document for General Form Understanding EMNLP 2020
Scene Text Image Super-resolution in the wild ECCV 2020
AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting ECCV 2020
PolarMask: Single Shot Instance Segmentation With Polar Representation CVPR 2020
R3 Adversarial Network for Cross Model Face Recognition CVPR 2019
Shared-Private Bilingual Word Embeddings for Neural Machine Translation ACL 2019
FOTS: Fast Oriented Text Spotting With a Unified Network CVPR 2018