← Authors

Xiaodong Liu

75 papers · 2013–2025 · 14 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (14) 🐝 Cross-Pollinator (14) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (111) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (10) πŸƒ Academic Marathon (12) 🌟 Keyword Trendsetter Combo (3) 🀝 Dynamic Duo (60) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (11) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (275) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (9) πŸ’Ž Century Club (75) ⚑ Prolific Year (16)

Conferences

ACL (18) EMNLP (12) ICLR (9) NAACL (9) IJCNLP (7) NIPS (6) IJCAI (4) AAAI (2) COLING (2) ICML (2) CONLL (1) CVPR (1) EACL (1) ECCV (1)

Top co-authors

Jianfeng Gao (60) Hao Cheng (21) Weizhu Chen (20) Pengcheng He (19) Yelong Shen (11) Tuo Zhao (9) Haoming Jiang (8) Simiao Zuo (7) Jiawei Han (6) Chen Liang (6)

Keywords

natural language understanding (7) question answering (7) pre-trained language model (7) multi-task learning (6) machine reading comprehension (6) open-domain question answering (6) language model (4) adversarial training (4) large language model (4) neural network (4) domain adaptation (4) transfer learning (4) model compression (4) mixture of expert (4) open domain question answering (4) information retrieval (3) dense retrieval (3) knowledge graph (3) adversarial learning (3) neural machine translation (3)

Papers

Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning COLING 2025
Iterative Self-Tuning LLMs for Enhanced Jailbreaking Capabilities NAACL 2025
ProMEA: Prompt-driven Expansion and Alignment for Single Domain Generalization IJCAI 2025
SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering AAAI 2025
Towards Verifiable Text Generation with Generative Agent AAAI 2025
Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts ACL 2025
Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass ICLR 2025
Stand on The Shoulders of Giants: Building JailExpert from Previous Attack Experience EMNLP 2025
Fast-ELECTRA for Efficient Pre-training ICLR 2024
Language Models as Inductive Reasoners EACL 2024
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs ICLR 2024
ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks NAACL 2024
Optimal Auction Design with User Coupons in Advertising Systems IJCAI 2024
Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering ACL 2023
Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models ICLR 2023
Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding EMNLP 2023
Visually-Augmented Language Modeling ICLR 2023
Auto-bidding with Budget and ROI Constrained Buyers IJCAI 2023
Understand and Modularize Generator Optimization in ELECTRA-style Pretraining ICML 2023
Bridging Discrete and Backpropagation: Straight-Through and Beyond NIPS 2023
Augmenting Language Models with Long-Term Memory NIPS 2023
Chain-of-Skills: A Configurable Model for Open-Domain Question Answering ACL 2023
Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers ACL 2023
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation ACL 2023
Taming Sparsely Activated Transformer with Stochastic Experts ICLR 2022
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning EMNLP 2022
Knowledge-Rich Self-Supervision for Biomedical Entity Linking EMNLP 2022
Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge EMNLP 2022
LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners NAACL 2022
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention IJCAI 2022
Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models NIPS 2022
Open Domain Question Answering with A Unified Knowledge Interface ACL 2022
PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer towards Video Object Detection ECCV 2022
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models ICLR 2022
Token-wise Curriculum Learning for Neural Machine Translation EMNLP 2021
Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer NIPS 2021
UnitedQA: A Hybrid Approach for Open Domain Question Answering ACL 2021
Generation-Augmented Retrieval for Open-Domain Question Answering ACL 2021
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization ACL 2021
Reader-Guided Passage Reranking for Open-Domain Question Answering ACL 2021
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach EMNLP 2021
HittER: Hierarchical Transformers for Knowledge Graph Embeddings EMNLP 2021
ARCH: Efficient Adversarial Regularized Training with Caching EMNLP 2021
DEBERTA: DECODING-ENHANCED BERT WITH DISENTANGLED ATTENTION ICLR 2021
UnitedQA: A Hybrid Approach for Open Domain Question Answering IJCNLP 2021
Generation-Augmented Retrieval for Open-Domain Question Answering IJCNLP 2021
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization IJCNLP 2021
Reader-Guided Passage Reranking for Open-Domain Question Answering IJCNLP 2021
Posterior Differential Regularization with f-divergence for Improving Model Robustness NAACL 2021
Targeted Adversarial Training for Natural Language Understanding NAACL 2021
RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers ACL 2020
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization ACL 2020
On the Variance of the Adaptive Learning Rate and Beyond ICLR 2020
A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing COLING 2020
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training ICML 2020
The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding ACL 2020
Understanding the Difficulty of Training Transformers EMNLP 2020
Adversarial Training for Commonsense Inference ACL 2020
Unified Language Model Pre-training for Natural Language Understanding and Generation NIPS 2019
Multi-Task Deep Neural Networks for Natural Language Understanding ACL 2019
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing NAACL 2019
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning NAACL 2019
DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain ACL 2019
Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading ACL 2019
Adversarial Domain Adaptation for Machine Reading Comprehension EMNLP 2019
A Hybrid Neural Network Model for Commonsense Reasoning EMNLP 2019
Adversarial Domain Adaptation for Machine Reading Comprehension IJCNLP 2019
Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension NAACL 2019
Language-Based Image Editing With Recurrent Attentive Models CVPR 2018
Stochastic Answer Networks for Machine Reading Comprehension ACL 2018
Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models NIPS 2018
Lexical Simplification with the Deep Structured Similarity Model IJCNLP 2017
An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks IJCNLP 2017
Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval NAACL 2015
Topic Models + Word Alignment = A Flexible Framework for Extracting Bilingual Dictionary from Comparable Corpus CONLL 2013