Meng Jiang
75 papers · 2017–2026 · 10 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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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (129) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π£ Hot Topic Early Bird
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Topic Pioneer
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Conference Loyalist
(25)
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Dynamic Duo
(24)
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Deep Specialist
(17)
π₯
Mega-Team Β· Legion
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Topic Evolution
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Keyword Champion
(4)
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Grand Slam
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Trend Setter
β‘
Prolific Year Β· Absurd
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Century Club Β· Silver
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Renaissance Researcher
(9)
ποΈ
Keyword Collector
(334)
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Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(53)
Natural Language Processing
(45)
Core AI
(45)
Machine Learning
(42)
Deep Learning
(38)
Learning Types Β· Machine Learning
(30)
Learning Types Β· Deep Learning
(26)
Applications
(24)
Resources & Methods
(22)
Generation
(16)
Core Methods
(14)
Learning Paradigms
(13)
Models
(10)
Knowledge & Reasoning
(9)
Application Areas
(9)
Keywords
large language model
(21)
text generation
(8)
question answering
(8)
few-shot learning
(7)
language model
(7)
transfer learning
(5)
machine unlearning
(5)
instruction following
(4)
prompt engineering
(4)
graph structure
(4)
zero-shot learning
(3)
multi-task learning
(3)
reinforcement learning
(3)
knowledge graph
(3)
question generation
(3)
privacy preservation
(3)
knowledge editing
(3)
knowledge representation
(3)
data augmentation
(3)
self-supervised learning
(3)
Papers
Context Selection and Rewriting for Video-based Educational Question Generation
AAAI 2026
Instant Personalized Large Language Model Adaptation via Hypernetwork
ACL 2026
Knowledge Control for Responsible Generative AI: Bridging Academia, Industry, and Society
ACL 2026
Mitigating Lost in Multi-turn Conversation via Curriculum RL with Verifiable Accuracy and Abstention Rewards
ACL 2026
MMTutorBench: The First Multimodal Benchmark for AI Math Tutoring
ACL 2026
Advancing Language Models through Instruction Tuning: Recent Progress and Challenges
EMNLP 2025
Aligning Large Language Models with Implicit Preferences from User-Generated Content
ACL 2025
Benchmarking Language Model Creativity: A Case Study on Code Generation
NAACL 2025
CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts
ACL 2025
Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models
ACL 2025
Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning
ACL 2025
Enhancing Mathematical Reasoning in LLMs by Stepwise Correction
ACL 2025
IHEval: Evaluating Language Models on Following the Instruction Hierarchy
NAACL 2025
Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates
EMNLP 2025
Incorporating Rather Than Eliminating: Achieving Fairness for Skin Disease Diagnosis Through Group-Specific Experts
MICCAI 2025
Learning Molecular Representation in a Cell
ICLR 2025
MentalGLM Series: Explainable Large Language Models for Mental Health Analysis on Chinese Social Media
EMNLP 2025
Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models
ACL 2025
MultiChartQA: Benchmarking Vision-Language Models on Multi-Chart Problems
NAACL 2025
Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning
ICLR 2025
Optimizing Decomposition for Optimal Claim Verification
ACL 2025
Pre-trained Behavioral Model for Malicious User Prediction on Social Platform
AAAI 2025
Pre-trained Models Perform the Best When Token Distributions Follow Zipfβs Law
EMNLP 2025
Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench
NAACL 2025
QG-SMS: Enhancing Test Item Analysis via Student Modeling and Simulation
ACL 2025
UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations
ACL 2025
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning
EMNLP 2024
Get an A in Math: Progressive Rectification Prompting
AAAI 2024
Graph Diffusion Transformers for Multi-Conditional Molecular Generation
NeurIPS 2024
Instructing Large Language Models to Identify and Ignore Irrelevant Conditions
NAACL 2024
Large Language Models Can Self-Correct with Key Condition Verification
EMNLP 2024
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning
EMNLP 2024
OpenFMNav: Towards Open-Set Zero-Shot Object Navigation via Vision-Language Foundation Models
NAACL 2024
Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts
EMNLP 2024
PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning
ACL 2024
Position: TrustLLM: Trustworthiness in Large Language Models
ICML 2024
RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models
EMNLP 2024
Reference-based Metrics Disprove Themselves in Question Generation
EMNLP 2024
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models
NeurIPS 2024
Towards Safer Large Language Models through Machine Unlearning
ACL 2024
TOWER: Tree Organized Weighting for Evaluating Complex Instructions
EMNLP 2024
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods
EACL 2023
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models
EMNLP 2023
Data-Centric Learning from Unlabeled Graphs with Diffusion Model
NeurIPS 2023
Embedding Mental Health Discourse for Community Recommendation
ACL 2023
Generate rather than Retrieve: Large Language Models are Strong Context Generators
ICLR 2023
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions
EMNLP 2023
Large Language Models are Built-in Autoregressive Search Engines
ACL 2023
Pre-training Language Models for Comparative Reasoning
EMNLP 2023
A Unified Encoder-Decoder Framework with Entity Memory
EMNLP 2022
Dict-BERT: Enhancing Language Model Pre-training with Dictionary
ACL 2022
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts
ACL 2022
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts
NAACL 2022
Knowledge-Augmented Methods for Natural Language Processing
ACL 2022
Learning from Counterfactual Links for Link Prediction
ICML 2022
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach
EMNLP 2022
Data Augmentation for Graph Neural Networks
AAAI 2021
Enhancing Factual Consistency of Abstractive Summarization
NAACL 2021
Injecting Entity Types into Entity-Guided Text Generation
EMNLP 2021
Knowledge-Enriched Natural Language Generation
EMNLP 2021
Sentence-Permuted Paragraph Generation
EMNLP 2021
Technical Question Answering across Tasks and Domains
NAACL 2021
Validating Label Consistency in NER Data Annotation
EMNLP 2021
A Probabilistic Model with Commonsense Constraints for Pattern-based Temporal Fact Extraction
ACL 2020
A Technical Question Answering System with Transfer Learning
EMNLP 2020
Crossing Variational Autoencoders for Answer Retrieval
ACL 2020
Few-Shot Knowledge Graph Completion
AAAI 2020
Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases
EMNLP 2020
Graph Few-Shot Learning via Knowledge Transfer
AAAI 2020
Multi-Label Patent Categorization with Non-Local Attention-Based Graph Convolutional Network
AAAI 2020
Tri-Train: Automatic Pre-Fine Tuning between Pre-Training and Fine-Tuning for SciNER
EMNLP 2020
Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method
EMNLP 2019
Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text
EMNLP 2019
ContextCare: Incorporating Contextual Information Networks to Representation Learning on Medical Forum Data
IJCAI 2017
Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences
ACL 2017