Lizhen Qu

64 papers · 2010–2025 · 14 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (14) 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (108) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (12) 🌍 Conference Polyglot (13) 🏃 Academic Marathon (15) 🤝 Dynamic Duo (28) 🏆 Keyword Champion 💎 Century Club (63) 📈 Trend Setter ⚡ Prolific Year (15) ❓ The Questioner (2) 🗃️ Keyword Collector (234) 🔥 Unstoppable (7)

Conferences

EMNLP (19) ACL (12) COLING (6) EACL (6) NAACL (5) CONLL (3) ICLR (3) IJCNLP (3) CVPR (2) AACL (1) ECCV (1) ICML (1) IJCAI (1) NIPS (1)

Top co-authors

Gholamreza Haffari (28) Zhuang Li (18) Tao Feng (8) Yuncheng Hua (7) Reza Haf (7) Qiongkai Xu (7) Zenglin Xu (7) Shuo Huang (6) Xiaoxi Kang (6) Zhuo Zhang (6)

Research topics

Applications (1) Privacy (1)

Keywords

large language model (10) federated learning (6) semantic parsing (5) zero-shot learning (5) neural network (5) dialogue system (4) text classification (4) text rewriting (4) natural language processing (3) multi-agent system (3) causal discovery (3) few-shot learning (3) attention mechanism (3) data augmentation (3) knowledge graph (3) commonsense reasoning (3) document-level translation (2) privacy preservation (2) representation learning (2) text generation (2)

Papers

Audio Is the Achilles’ Heel: Red Teaming Audio Large Multimodal Models NAACL 2025

LazyReview: A Dataset for Uncovering Lazy Thinking in NLP Peer Reviews ACL 2025

SurveyPilot: an Agentic Framework for Automated Human Opinion Collection from Social Media ACL 2025

IRIS: An Iterative and Integrated Framework for Verifiable Causal Discovery in the Absence of Tabular Data ACL 2025

On the Reliability of Large Language Models for Causal Discovery ACL 2025

SCAR: Data Selection via Style Consistency-Aware Response Ranking for Efficient Instruction-Tuning of Large Language Models ACL 2025

CultureInstruct: Curating Multi-Cultural Instructions at Scale NAACL 2025

ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning NAACL 2025

Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models IJCNLP 2025

CausalScore: An Automatic Reference-Free Metric for Assessing Response Relevance in Open-Domain Dialogue Systems COLING 2025

The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph ICML 2025

Zero-Shot Privacy-Aware Text Rewriting via Iterative Tree Search EMNLP 2025

NAP2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human EMNLP 2025

Reshaping Representation Space to Balance the Safety and Over-rejection in Large Audio Language Models EMNLP 2025

Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models AACL 2025

DiscoSG: Towards Discourse-Level Text Scene Graph Parsing through Iterative Graph Refinement EMNLP 2025

Let’s Negotiate! A Survey of Negotiation Dialogue Systems EACL 2024

Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding COLING 2024

Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights EMNLP 2024

Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation ICLR 2024

IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models ACL 2024

Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction EMNLP 2024

Generative Region-Language Pretraining for Open-Ended Object Detection CVPR 2024

Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues EMNLP 2024

Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models EMNLP 2024

Importance-Aware Data Augmentation for Document-Level Neural Machine Translation EACL 2024

RENOVI: A Benchmark Towards Remediating Norm Violations in Socio-Cultural Conversations NAACL 2024

FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models ACL 2023

ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities EACL 2023

Can ChatGPT Perform Reasoning Using the IRAC Method in Analyzing Legal Scenarios Like a Lawyer? EMNLP 2023

Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation EACL 2023

Learning Object-Language Alignments for Open-Vocabulary Object Detection ICLR 2023

FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP ACL 2023

TMID: A Comprehensive Real-world Dataset for Trademark Infringement Detection in E-Commerce EMNLP 2023

FaLA: Fast Linear Adaptation for Replacing Backbone Models on Edge Devices EMNLP 2023

The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning ACL 2023

FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing ACL 2023

Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs COLING 2022

Multimodal Transformer with Variable-Length Memory for Vision-and-Language Navigation ECCV 2022

Federated Model Decomposition with Private Vocabulary for Text Classification EMNLP 2022

Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation EMNLP 2022

Neural-Symbolic Commonsense Reasoner with Relation Predictors IJCNLP 2021

Simple or Complex? Complexity-controllable Question Generation with Soft Templates and Deep Mixture of Experts Model EMNLP 2021

Neural-Symbolic Commonsense Reasoner with Relation Predictors ACL 2021

On Robustness of Neural Semantic Parsers EACL 2021

Few-Shot Semantic Parsing for New Predicates EACL 2021

Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers EMNLP 2021

Personal Information Leakage Detection in Conversations EMNLP 2020

Context Dependent Semantic Parsing: A Survey COLING 2020

CosMo: Conditional Seq2Seq-based Mixture Model for Zero-Shot Commonsense Question Answering COLING 2020

Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection ICLR 2019

ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation IJCNLP 2019

ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation EMNLP 2019

Demographic Inference on Twitter using Recursive Neural Networks ACL 2017

Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach CVPR 2017

Automatic Generation of Grounded Visual Questions IJCAI 2017

f-GANs in an Information Geometric Nutshell NIPS 2017

Neighborhood Mixture Model for Knowledge Base Completion CONLL 2016

STransE: a novel embedding model of entities and relationships in knowledge bases NAACL 2016

Named Entity Recognition for Novel Types by Transfer Learning EMNLP 2016

Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representations on Sequence Labelling Tasks CONLL 2015

A Weakly Supervised Model for Sentence-Level Semantic Orientation Analysis with Multiple Experts CONLL 2012

A Weakly Supervised Model for Sentence-Level Semantic Orientation Analysis with Multiple Experts EMNLP 2012

The Bag-of-Opinions Method for Review Rating Prediction from Sparse Text Patterns COLING 2010