Bing Liu
142 papers · 2008–2026 · 15 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (5) π£ Hot Topic Early Bird
π
Conference Polyglot
(15)
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Academic Marathon
(18)
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Interdisciplinary Bridge
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Conference Loyalist
(25)
π
Keyword Champion
(4)
π¬
Deep Specialist
(27)
π€
Dynamic Duo
(18)
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Grand Slam
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Triple Crown
π
Trend Setter
β
The Questioner
β‘
Prolific Year
(13)
π
Conference Pioneer
ποΈ
Keyword Collector
(50)
π
Century Club
(137)
π₯
Unstoppable
(19)
Conferences
EMNLP (30)
ACL (28)
COLING (18)
NAACL (12)
AAAI (11)
IJCAI (9)
ICML (7)
IJCNLP (6)
NIPS (6)
ICLR (5)
INTERSPEECH (4)
CVPR (3)
ACML (1)
EACL (1)
WACV (1)
Top co-authors
Keywords
continual learning
(20)
catastrophic forgetting
(17)
neural network
(11)
knowledge transfer
(9)
text classification
(9)
dialogue system
(8)
task-oriented dialogue
(7)
transfer learning
(7)
domain adaptation
(7)
sentiment classification
(6)
lifelong learning
(6)
language model
(6)
large language model
(6)
graph neural network
(5)
out-of-distribution detection
(5)
knowledge distillation
(5)
knowledge graph
(4)
convolutional neural network
(4)
zero-shot learning
(4)
representation learning
(4)
Papers
Audio MultiChallenge: A Multi-Turn Evaluation of Spoken Dialogue Systems on Natural Human Interaction
ACL 2026
Agentic Rubrics as Contextual Verifiers for SWE Agents
ACL 2026
Continual Out-of-Distribution Detection with Analytic Neural Collapse
AAAI 2026
Negative Entity Suppression for Zero-Shot Captioning with Synthetic Images
AAAI 2026
Improving Out-of-Distribution Detection Using Segmented Images and Cross-View Attention Fusion
WACV 2026
PRBench: Large-Scale Expert Rubrics for Evaluating High-Stakes Professional Reasoning
ACL 2026
Generalizing Reasoning Problems to Longer Lengths
ICLR 2025
Counterfactual Knowledge Maintenance for Unsupervised Domain Adaptation
IJCAI 2025
Boosting LLM Translation Skills without General Ability Loss via Rationale Distillation
ACL 2025
In-context Continual Learning Assisted by an External Continual Learner
COLING 2025
Understanding the Unfairness in Network Quantization
ICML 2025
DiMa: Understanding the Hardness of Online Matching Problems via Diffusion Models
ICML 2025
Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking
IJCAI 2025
Continual Learning Using Only Large Language Model Prompting
COLING 2025
Continual Learning Using a Kernel-Based Method Over Foundation Models
AAAI 2025
Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models
ICLR 2025
Talk With Human-like Agents: Empathetic Dialogue Through Perceptible Acoustic Reception and Reaction
ACL 2024
An Evaluation Mechanism of LLM-based Agents on Manipulating APIs
EMNLP 2024
Class Incremental Learning via Likelihood Ratio Based Task Prediction
ICLR 2024
Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation
COLING 2024
Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach
NIPS 2024
Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective
ICML 2024
Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation
AAAI 2024
Sentiment Analysis in the Era of Large Language Models: A Reality Check
NAACL 2024
Noisy Multi-Label Text Classification via Instance-Label Pair Correction
NAACL 2024
Probing Language Models for Pre-training Data Detection
ACL 2024
Label-Specific Feature Augmentation for Long-Tailed Multi-Label Text Classification
AAAI 2023
Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast
ACL 2023
Introducing Semantics into Speech Encoders
ACL 2023
Class-Incremental Learning based on Label Generation
ACL 2023
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution
ACL 2023
Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks?
IJCAI 2023
Parameter-Level Soft-Masking for Continual Learning
ICML 2023
Learnability and Algorithm for Continual Learning
ICML 2023
Dealing With Cross-Task Class Discrimination in Online Continual Learning
CVPR 2023
Continual Pre-training of Language Models
ICLR 2023
Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks
EMNLP 2023
Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking
EMNLP 2023
Ensemble Semi-supervised Entity Alignment via Cycle-Teaching
AAAI 2022
Show, Deconfound and Tell: Image Captioning With Causal Inference
CVPR 2022
Online Continual Learning through Mutual Information Maximization
ICML 2022
A Theoretical Study on Solving Continual Learning
NIPS 2022
Adapting a Language Model While Preserving its General Knowledge
EMNLP 2022
KETOD: Knowledge-Enriched Task-Oriented Dialogue
NAACL 2022
Guiding Neural Entity Alignment with Compatibility
EMNLP 2022
Continual Training of Language Models for Few-Shot Learning
EMNLP 2022
Neural Collaborative Graph Machines for Table Structure Recognition
CVPR 2022
Semantic Novelty Detection and Characterization in Factual Text Involving Named Entities
EMNLP 2022
Towards Enhancing Health Coaching Dialogue in Low-Resource Settings
COLING 2022
Adaptive Orthogonal Projection for Batch and Online Continual Learning
AAAI 2022
Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP
AAAI 2022
BNS: Building Network Structures Dynamically for Continual Learning
NIPS 2021
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
NIPS 2021
Concept-Based Label Embedding via Dynamic Routing for Hierarchical Text Classification
ACL 2021
Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon
ACL 2021
Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models
EACL 2021
Zero-Shot Dialogue State Tracking via Cross-Task Transfer
EMNLP 2021
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks
NAACL 2021
Adding Chit-Chat to Enhance Task-Oriented Dialogues
NAACL 2021
Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue StateTracking
NAACL 2021
Concept-Based Label Embedding via Dynamic Routing for Hierarchical Text Classification
IJCNLP 2021
Continual Learning in Task-Oriented Dialogue Systems
EMNLP 2021
NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions
EMNLP 2021
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks
EMNLP 2021
ActiveEA: Active Learning for Neural Entity Alignment
EMNLP 2021
Semantic Novelty Detection in Natural Language Descriptions
EMNLP 2021
Continual Learning by Using Information of Each Class Holistically
AAAI 2021
Predictive Adversarial Learning from Positive and Unlabeled Data
AAAI 2021
Lifelong and Continual Learning Dialogue Systems: Learning during Conversation
AAAI 2021
Improving RNN-T for Domain Scaling Using Semi-Supervised Training with Neural TTS
INTERSPEECH 2021
Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon
IJCNLP 2021
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
NIPS 2020
HRN: A Holistic Approach to One Class Learning
NIPS 2020
Entity-Aware Dependency-Based Deep Graph Attention Network for Comparative Preference Classification
ACL 2020
Feature Projection for Improved Text Classification
ACL 2020
Understanding Pre-trained BERT for Aspect-based Sentiment Analysis
COLING 2020
Bayes-enhanced Lifelong Attention Networks for Sentiment Classification
COLING 2020
Transformation of Dense and Sparse Text Representations
COLING 2020
Translation vs. Dialogue: A Comparative Analysis of Sequence-to-Sequence Modeling
COLING 2020
User Memory Reasoning for Conversational Recommendation
COLING 2020
Using the Past Knowledge to Improve Sentiment Classification
EMNLP 2020
A Knowledge-Driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining
EMNLP 2020
DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis
EMNLP 2020
Controllable Text Generation with Focused Variation
EMNLP 2020
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis
NAACL 2019
Modeling Multi-Action Policy for Task-Oriented Dialogues
IJCNLP 2019
Learning with Noisy Labels for Sentence-level Sentiment Classification
IJCNLP 2019
Forward and Backward Knowledge Transfer for Sentiment Classification
ACML 2019
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction
ACL 2019
GSN: A Graph-Structured Network for Multi-Party Dialogues
IJCAI 2019
Spectral Perturbation Meets Incomplete Multi-view Data
IJCAI 2019
Modeling Multi-Action Policy for Task-Oriented Dialogues
EMNLP 2019
Learning with Noisy Labels for Sentence-level Sentiment Classification
EMNLP 2019
Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation
ICLR 2019
An Attribute Enhanced Domain Adaptive Model for Cold-Start Spam Review Detection
COLING 2018
Target-Sensitive Memory Networks for Aspect Sentiment Classification
ACL 2018
End-to-End Learning of Task-Oriented Dialogs
NAACL 2018
Bootstrapping a Neural Conversational Agent with Dialogue Self-Play, Crowdsourcing and On-Line Reinforcement Learning
NAACL 2018
Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems
NAACL 2018
Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction
ACL 2018
Lifelong Domain Word Embedding via Meta-Learning
IJCAI 2018
Online Incremental Learning for Speaker-Adaptive Language Models
INTERSPEECH 2018
Context-aware Path Ranking for Knowledge Base Completion
IJCAI 2017
Lifelong Learning CRF for Supervised Aspect Extraction
ACL 2017
An End-to-End Trainable Neural Network Model with Belief Tracking for Task-Oriented Dialog
INTERSPEECH 2017
DOC: Deep Open Classification of Text Documents
EMNLP 2017
Sentiment Lexicon Expansion Based on Neural PU Learning, Double Dictionary Lookup, and Polarity Association
EMNLP 2017
Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets
EMNLP 2016
Lifelong Machine Learning for Natural Language Processing
EMNLP 2016
Breaking the Closed World Assumption in Text Classification
NAACL 2016
Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling
INTERSPEECH 2016
Lifelong Learning for Sentiment Classification
ACL 2015
Lifelong Learning for Sentiment Classification
IJCNLP 2015
Automated Rule Selection for Aspect Extraction in Opinion Mining
IJCAI 2015
Social Media Text Classification under Negative Covariate Shift
EMNLP 2015
Aspect Extraction with Automated Prior Knowledge Learning
ACL 2014
Exploiting Social Relations and Sentiment for Stock Prediction
EMNLP 2014
Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data
ICML 2014
Review Topic Discovery with Phrases using the PΓ³lya Urn Model
COLING 2014
Tri-Training for Authorship Attribution with Limited Training Data
ACL 2014
Identifying Intention Posts in Discussion Forums
NAACL 2013
Exploiting Domain Knowledge in Aspect Extraction
EMNLP 2013
Exploiting Topic based Twitter Sentiment for Stock Prediction
ACL 2013
Public Dialogue: Analysis of Tolerance in Online Discussions
ACL 2013
Discovering User Interactions in Ideological Discussions
ACL 2013
Leveraging Multi-Domain Prior Knowledge in Topic Models
IJCAI 2013
Identifying Multiple Userids of the Same Author
EMNLP 2013
Analysis of Linguistic Style Accommodation in Online Debates
COLING 2012
A Dictionary-Based Approach to Identifying Aspects Implied by Adjectives for Opinion Mining
COLING 2012
Aspect Extraction through Semi-Supervised Modeling
ACL 2012
Modeling Review Comments
ACL 2012
Extracting Resource Terms for Sentiment Analysis
IJCNLP 2011
Identifying Noun Product Features that Imply Opinions
ACL 2011
Negative Training Data Can be Harmful to Text Classification
EMNLP 2010
Resolving Object and Attribute Coreference in Opinion Mining
COLING 2010
Grouping Product Features Using Semi-Supervised Learning with Soft-Constraints
COLING 2010
Dependency-Driven Feature-based Learning for Extracting Protein-Protein Interactions from Biomedical Text
COLING 2010
Extracting and Ranking Product Features in Opinion Documents
COLING 2010
Improving Gender Classification of Blog Authors
EMNLP 2010
Distributional Similarity vs. PU Learning for Entity Set Expansion
ACL 2010
Sentiment Analysis of Conditional Sentences
EMNLP 2009
Mining Opinions in Comparative Sentences
COLING 2008