Lidong Bing
152 papers · 2015–2026 · 13 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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(34)
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(7)
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Research topics
Natural Language Processing
(111)
Machine Learning
(96)
Artificial Intelligence
(80)
Core AI
(68)
Deep Learning
(65)
Applications
(63)
Learning Types Β· Machine Learning
(61)
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(34)
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(31)
Generation
(28)
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(23)
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(19)
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(17)
Keywords
large language model
(34)
named entity recognition
(14)
text generation
(13)
sentiment analysis
(11)
aspect-based sentiment analysis
(10)
cross-lingual transfer
(9)
multimodal learning
(9)
data augmentation
(9)
relation extraction
(9)
attention mechanism
(8)
text classification
(8)
transfer learning
(8)
few-shot learning
(8)
zero-shot learning
(7)
sequence labeling
(7)
knowledge distillation
(6)
question answering
(6)
benchmark evaluation
(6)
contrastive learning
(6)
pre-trained language model
(6)
Papers
EverMemOS: A Self-Organizing Memory Operating System for Structured Long-Horizon Reasoning
ACL 2026
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling
CVPR 2026
OpenMMReasoner: Pushing the Frontiers in Multimodal Reasoning with an Open and General Recipe
CVPR 2026
UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning
AAAI 2026
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
ICCV 2025
AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging
NAACL 2025
Analyzing LLMsβ Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations
ACL 2025
Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee Discussions
ACL 2025
Breaking the Memory Barrier of Contrastive Loss via Tile-Based Strategy
CVPR 2025
Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks
ACL 2025
Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents
EMNLP 2025
ECBench: Can Multi-modal Foundation Models Understand the Egocentric World? A Holistic Embodied Cognition Benchmark
CVPR 2025
Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective
ICML 2025
Finding the Sweet Spot: Preference Data Construction for Scaling Preference Optimization
ACL 2025
FineReason: Evaluating and Improving LLMsβ Deliberate Reasoning through Reflective Puzzle Solving
ACL 2025
Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models
NAACL 2025
LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
ICLR 2025
M-LongDoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework
EMNLP 2025
Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs
NAACL 2025
ParaICL: Towards Parallel In-Context Learning
NAACL 2025
Pruning General Large Language Models into Customized Expert Models
ACL 2025
SeaExam and SeaBench: Benchmarking LLMs with Local Multilingual Questions in Southeast Asia
NAACL 2025
SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages
NAACL 2025
VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM
CVPR 2025
Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels
COLING 2025
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation
EMNLP 2024
Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
ICLR 2024
CLEX: Continuous Length Extrapolation for Large Language Models
ICLR 2024
Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts
ACL 2024
Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction
EMNLP 2024
Evaluating Psychological Safety of Large Language Models
EMNLP 2024
Exploring the Potential of Large Language Models in Computational Argumentation
ACL 2024
How do Large Language Models Handle Multilingualism?
NeurIPS 2024
InstructEval: Towards Holistic Evaluation of Instruction-Tuned Large Language Models
EACL 2024
Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning
NAACL 2024
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models
EMNLP 2024
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding
CVPR 2024
Multilingual Jailbreak Challenges in Large Language Models
ICLR 2024
Order-Agnostic Data Augmentation for Few-Shot Named Entity Recognition
ACL 2024
PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns
ACL 2024
Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths
EMNLP 2024
SeaLLMs - Large Language Models for Southeast Asia
ACL 2024
Sentiment Analysis in the Era of Large Language Models: A Reality Check
NAACL 2024
Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective
NeurIPS 2024
Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning
ACL 2024
A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization
EMNLP 2023
AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach
ACL 2023
Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis
ACL 2023
Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data
ACL 2023
Easy-to-Hard Learning for Information Extraction
ACL 2023
Enhancing Cross-lingual Prompting with Dual Prompt Augmentation
ACL 2023
From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader
NeurIPS 2023
Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction
ACL 2023
Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning
ACL 2023
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling
ACL 2023
Is GPT-3 a Good Data Annotator?
ACL 2023
Is GPT-4 a Good Data Analyst?
EMNLP 2023
Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization
EMNLP 2023
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models
EMNLP 2023
M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models
NeurIPS 2023
mPMR: A Multilingual Pre-trained Machine Reader at Scale
ACL 2023
Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal Reasoning
EMNLP 2023
On the Effectiveness of Parameter-Efficient Fine-Tuning
AAAI 2023
PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks
ACL 2023
Reasoning Implicit Sentiment with Chain-of-Thought Prompting
ACL 2023
Sampling Better Negatives for Distantly Supervised Named Entity Recognition
ACL 2023
SOUL: Towards Sentiment and Opinion Understanding of Language
EMNLP 2023
Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models
ACL 2023
Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction
EACL 2023
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations
ACL 2023
Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework
ACL 2023
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
EMNLP 2023
Zero-Shot Text Classification via Self-Supervised Tuning
ACL 2023
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction
EMNLP 2022
A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach
EMNLP 2022
ConNER: Consistency Training for Cross-lingual Named Entity Recognition
EMNLP 2022
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation
ACL 2022
Domain Generalization for Text Classification with Memory-Based Supervised Contrastive Learning
COLING 2022
Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples
EMNLP 2022
GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems
ACL 2022
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks
ACL 2022
Interventional Training for Out-Of-Distribution Natural Language Understanding
EMNLP 2022
MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER
ACL 2022
MReD: A Meta-Review Dataset for Structure-Controllable Text Generation
ACL 2022
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction
ACL 2022
Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation
EMNLP 2022
Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction
EMNLP 2022
SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning
COLING 2022
SentBS: Sentence-level Beam Search for Controllable Summarization
EMNLP 2022
Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings
COLING 2022
Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding
ACL 2021
Aspect-based Sentiment Analysis in Question Answering Forums
EMNLP 2021
Aspect Sentiment Quad Prediction as Paraphrase Generation
EMNLP 2021
Better Feature Integration for Named Entity Recognition
NAACL 2021
Bootstrapped Unsupervised Sentence Representation Learning
ACL 2021
Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching
EMNLP 2021
Exploring Auxiliary Reasoning Tasks for Task-oriented Dialog Systems with Meta Cooperative Learning
AAAI 2021
Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction
ACL 2021
MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER
ACL 2021
Multilingual AMR Parsing with Noisy Knowledge Distillation
EMNLP 2021
Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews
ACL 2021
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation
ACL 2021
Towards Generative Aspect-Based Sentiment Analysis
ACL 2021
An Unsupervised Sentence Embedding Method by Mutual Information Maximization
EMNLP 2020
APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning
EMNLP 2020
Aspect Sentiment Classification with Aspect-Specific Opinion Spans
EMNLP 2020
Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce
AAAI 2020
DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks
EMNLP 2020
Dynamic Topic Tracker for KB-to-Text Generation
COLING 2020
ENT-DESC: Entity Description Generation by Exploring Knowledge Graph
EMNLP 2020
Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training
EMNLP 2020
GRET: Global Representation Enhanced Transformer
AAAI 2020
Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling
ACL 2020
Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis
AAAI 2020
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation
EMNLP 2020
Open Domain Event Text Generation
AAAI 2020
Partially-Aligned Data-to-Text Generation with Distant Supervision
EMNLP 2020
Position-Aware Tagging for Aspect Sentiment Triplet Extraction
EMNLP 2020
Review-based Question Generation with Adaptive Instance Transfer and Augmentation
ACL 2020
Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model
IJCAI 2020
Unsupervised KB-to-Text Generation with Auxiliary Triple Extraction using Dual Learning
AACL 2020
Abstractive Text Summarization by Incorporating Reader Comments
AAAI 2019
A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis
EMNLP 2019
An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction
NAACL 2019
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction
AAAI 2019
Difficulty Controllable Generation of Reading Comprehension Questions
IJCAI 2019
Exploiting BERT for End-to-End Aspect-based Sentiment Analysis
EMNLP 2019
Generating Distractors for Reading Comprehension Questions from Real Examinations
AAAI 2019
Hierarchical Pointer Net Parsing
EMNLP 2019
Improving Question Generation With to the Point Context
EMNLP 2019
Learning to Write Stories with Thematic Consistency and Wording Novelty
AAAI 2019
Semi-supervised Text Style Transfer: Cross Projection in Latent Space
EMNLP 2019
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion
EMNLP 2019
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning
EMNLP 2019
Using Customer Service Dialogues for Satisfaction Analysis with Context-Assisted Multiple Instance Learning
EMNLP 2019
Who Is Speaking to Whom? Learning to Identify Utterance Addressee in Multi-Party Conversations
EMNLP 2019
Aspect Term Extraction with History Attention and Selective Transformation
IJCAI 2018
Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models
EMNLP 2018
Hybrid Neural Attention for Agreement/Disagreement Inference in Online Debates
EMNLP 2018
Learning Domain-Sensitive and Sentiment-Aware Word Embeddings
ACL 2018
QuaSE: Sequence Editing under Quantifiable Guidance
EMNLP 2018
Semi-Supervised Learning with Declaratively Specified Entropy Constraints
NeurIPS 2018
Transformation Networks for Target-Oriented Sentiment Classification
ACL 2018
Variational Autoregressive Decoder for Neural Response Generation
EMNLP 2018
Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization
EMNLP 2017
Deep Recurrent Generative Decoder for Abstractive Text Summarization
EMNLP 2017
Recurrent Attention Network on Memory for Aspect Sentiment Analysis
EMNLP 2017
Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning
IJCAI 2017
Detecting Common Discussion Topics Across Culture From News Reader Comments
ACL 2016
Abstractive Multi-Document Summarization via Phrase Selection and Merging
ACL 2015
Improving Distant Supervision for Information Extraction Using Label Propagation Through Lists
EMNLP 2015
Reader-Aware Multi-Document Summarization via Sparse Coding
IJCAI 2015