Xiaodong Liu
75 papers · 2013–2025 · 14 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (14) 🏃 Academic Marathon (12) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
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Keyword Pioneer
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Renaissance Researcher
(10)
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Academic Marathon
(12)
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Keyword Trendsetter Combo
(3)
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Dynamic Duo
(60)
👑
Triple Crown
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Grand Slam
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Deep Specialist
(11)
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Topic Evolution
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Keyword Champion
(2)
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Keyword Collector
(275)
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Trend Setter
🔥
Unstoppable
(9)
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Century Club
(75)
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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
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