Ming Zhong
39 papers · 2019–2026 · 12 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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πΊοΈ Taxonomy Completionist (78) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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The Questioner
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Century Club Β· Bronze
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Venues
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Research topics
Natural Language Processing
(27)
Machine Learning
(26)
Artificial Intelligence
(18)
Core AI
(15)
Learning Types Β· Machine Learning
(13)
Deep Learning
(12)
Applications
(12)
Generation
(12)
Resources & Methods
(11)
Application Areas
(9)
Learning Types Β· Deep Learning
(7)
Core Methods
(5)
Models
(5)
Optimization & Theory
(5)
Learning Paradigms
(4)
Keywords
large language model
(7)
text summarization
(7)
information extraction
(5)
extractive summarization
(5)
language model
(4)
question answering
(4)
abstractive summarization
(4)
instruction tuning
(3)
neural network
(3)
contrastive learning
(2)
benchmark evaluation
(2)
domain adaptation
(2)
long context
(2)
knowledge graph
(2)
text generation
(2)
zero-shot learning
(2)
document summarization
(2)
knowledge distillation
(2)
unsupervised learning
(2)
knowledge editing
(2)
Papers
Format as a Prior: Quantifying and Analyzing Bias in LLMs for Heterogeneous Data
AAAI 2026
Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering
AAAI 2026
VCU-Bridge: Hierarchical Visual Connotation Understanding via Semantic Bridging
CVPR 2026
Aligning VLM Assistants with Personalized Situated Cognition
ACL 2025
AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science
EMNLP 2025
A Survey on Training-free Alignment of Large Language Models
EMNLP 2025
Law of the Weakest Link: Cross Capabilities of Large Language Models
ICLR 2025
Long Chain-of-Thought Fine-tuning via Understanding-to-Reasoning Transition
EMNLP 2025
Why Does the Effective Context Length of LLMs Fall Short?
ICLR 2025
ActionIE: Action Extraction from Scientific Literature with Programming Languages
ACL 2024
ComBack: A Versatile Dataset for Enhancing Compiler Backend Development Efficiency
NeurIPS 2024
L-Eval: Instituting Standardized Evaluation for Long Context Language Models
ACL 2024
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective
ICLR 2024
Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation
EMNLP 2024
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation
EMNLP 2023
Instruct and Extract: Instruction Tuning for On-Demand Information Extraction
EMNLP 2023
Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing
IJCAI 2023
PREME: Preference-based Meeting Exploration through an Interactive Questionnaire
EACL 2023
ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision
ACL 2023
Reaction Miner: An Integrated System for Chemical Reaction Extraction from Textual Data
EMNLP 2023
Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation
ACL 2023
The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions
EMNLP 2023
Towards Saner Deep Image Registration
ICCV 2023
CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision
EMNLP 2022
CoLo: A Contrastive Learning Based Re-ranking Framework for One-Stage Summarization
COLING 2022
DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization
AAAI 2022
Improving Abstractive Dialogue Summarization with Speaker-Aware Supervised Contrastive Learning
COLING 2022
Open-Vocabulary Argument Role Prediction For Event Extraction
EMNLP 2022
Towards a Unified Multi-Dimensional Evaluator for Text Generation
EMNLP 2022
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models
EMNLP 2022
Unsupervised Multi-Granularity Summarization
EMNLP 2022
Enhancing Scientific Papers Summarization with Citation Graph
AAAI 2021
GEM: A General Evaluation Benchmark for Multimodal Tasks
ACL 2021
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds
ICML 2021
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization
NAACL 2021
CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems
EMNLP 2020
Extractive Summarization as Text Matching
ACL 2020
A Closer Look at Data Bias in Neural Extractive Summarization Models
EMNLP 2019
Searching for Effective Neural Extractive Summarization: What Works and Whatβs Next
ACL 2019