Feiteng Mu
9 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (25) π Conference Polyglot Β· Bronze
π§¬
Topic Evolution
π₯
Unstoppable Β· Bronze
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Conference Pioneer
Top co-authors
Research topics
Machine Learning
(7)
Natural Language Processing
(7)
Learning Types Β· Machine Learning
(5)
Artificial Intelligence
(4)
Generation
(4)
Knowledge & Reasoning
(3)
Core AI
(3)
Core Methods
(3)
Reasoning
(3)
Deep Learning
(2)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Applications
(1)
Keywords
text generation
(3)
causal embedding
(2)
causal inference
(2)
retrieval-augmented generation
(2)
counterfactual reasoning
(2)
causal pattern
(2)
commonsense knowledge
(1)
variational autoencoder
(1)
causal reasoning
(1)
distributional semantics
(1)
machine learning
(1)
bias mitigation
(1)
embedding learning
(1)
distributed representation
(1)
query routing
(1)
graph attention
(1)
knowledge reasoning
(1)
knowledge boundary
(1)
cost optimization
(1)
narrative generation
(1)
Papers
KBM: Delineating Knowledge Boundary for Adaptive Retrieval in Large Language Models
EMNLP 2025
A Causal Approach for Counterfactual Reasoning in Narratives
ACL 2024
Generating Contrastive Narratives Using the Brownian Bridge Process for Narrative Coherence Learning
ACL 2024
Query Routing for Homogeneous Tools: An Instantiation in the RAG Scenario
EMNLP 2024
Enhancing Event Causality Identification with Counterfactual Reasoning
ACL 2023
Enhancing Text Generation via Multi-Level Knowledge Aware Reasoning
IJCAI 2022
Effect Generation Based on Causal Reasoning
EMNLP 2021
Boosting Causal Embeddings via Potential Verb-Mediated Causal Patterns
IJCAI 2019
Distributed Representation of Words in Cause and Effect Spaces
AAAI 2019