Shangbin Feng
31 papers · 2022–2026 · 7 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
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Core AI
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Machine Learning
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Natural Language Processing
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Deep Learning
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Applications · Natural Language Processing
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Learning Types · Machine Learning
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Resources & Methods
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Knowledge & Reasoning
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Keywords
large language model
(13)
graph neural network
(6)
social media analysis
(5)
text classification
(5)
bot detection
(4)
language model
(4)
heterogeneous information network
(4)
misinformation detection
(3)
knowledge graph
(3)
relational graph neural network
(2)
knowledge reasoning
(2)
adversarial learning
(2)
multi-hop reasoning
(2)
model collaboration
(2)
graph reasoning
(2)
node classification
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prompt engineering
(2)
model calibration
(2)
pluralistic alignment
(2)
factual knowledge
(2)
Papers
Among Us: Measuring and Mitigating Malicious Contributions in Model Collaboration Systems
ACL 2026
Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection
ACL 2026
When One LLM Drools, Multi-LLM Collaboration Rules
ACL 2026
Biased LLMs can Influence Political Decision-Making
ACL 2025
CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts
ACL 2025
FACTS&EVIDENCE: An Interactive Tool for Transparent Fine-Grained Factual Verification of Machine-Generated Text
NAACL 2025
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence
ICML 2025
Position: Political Neutrality in AI Is Impossible — But Here Is How to Approximate It
ICML 2025
Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only
ICLR 2025
Can LLM Graph Reasoning Generalize beyond Pattern Memorization?
EMNLP 2024
DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection
ACL 2024
Don’t Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration
ACL 2024
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models
ICLR 2024
Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models
ACL 2024
MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning
NeurIPS 2024
Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration
EMNLP 2024
P3Sum: Preserving Author’s Perspective in News Summarization with Diffusion Language Models
NAACL 2024
Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks
ACL 2024
Teaching LLMs to Abstain across Languages via Multilingual Feedback
EMNLP 2024
What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection
ACL 2024
BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency
ACL 2023
BotPercent: Estimating Bot Populations in Twitter Communities
EMNLP 2023
Can Language Models Solve Graph Problems in Natural Language?
NeurIPS 2023
Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks
EMNLP 2023
FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge
EMNLP 2023
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models
ACL 2023
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding
ACL 2023
Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers
AAAI 2022
KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media
NAACL 2022
PAR: Political Actor Representation Learning with Social Context and Expert Knowledge
EMNLP 2022
TwiBot-22: Towards Graph-Based Twitter Bot Detection
NeurIPS 2022