Dongxu Zhang
13 papers · 2016–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (31) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
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Keyword Pioneer
ποΈ
Keyword Collector
(67)
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Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(9)
Machine Learning
(9)
Core Methods
(8)
Deep Learning
(6)
Core AI
(5)
Knowledge & Reasoning
(4)
Representation
(4)
Learning Types Β· Machine Learning
(3)
Learning Types Β· Deep Learning
(3)
Mathematics & Optimization
(2)
Natural Language Processing
(2)
Bayesian & Probabilistic
(2)
Learning Paradigms
(2)
Mathematics
(2)
Models
(2)
Keywords
box embedding
(5)
large language model
(3)
probabilistic modeling
(2)
directed graph
(2)
hyperbolic embedding
(2)
graph representation
(2)
knowledge base
(2)
geometric embedding
(2)
graph representation learning
(1)
knowledge representation
(1)
information bottleneck
(1)
named entity recognition
(1)
language model evaluation
(1)
chain-of-thought reasoning
(1)
cross-lingual transfer
(1)
text classification
(1)
graph embedding
(1)
synthetic data generation
(1)
constraint satisfaction
(1)
annotation projection
(1)
Papers
Chain-of-Thought Compression Should Not Be Blind: V-Skip for Efficient Multimodal Reasoning via Dual-Path Anchoring
ACL 2026
Not All Queries Need Deep Thought: CoFiCot for Adaptive Coarse-to-fine Stateful Refinement
UAI 2026
DMT-RoleBench: A Dynamic Multi-Turn Dialogue Based Benchmark for Role-Playing Evaluation of Large Language Model and Agent
AAAI 2025
Enhancing Hallucination Detection through Perturbation-Based Synthetic Data Generation in System Responses
ACL 2024
Event-Event Relation Extraction using Probabilistic Box Embedding
ACL 2022
Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings
NeurIPS 2022
Box-To-Box Transformations for Modeling Joint Hierarchies
ACL 2021
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs
NeurIPS 2021
Improving Local Identifiability in Probabilistic Box Embeddings
NeurIPS 2020
OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference
NAACL 2019
Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks
NeurIPS 2019
Smoothing the Geometry of Probabilistic Box Embeddings
ICLR 2019
Bitext Name Tagging for Cross-lingual Entity Annotation Projection
COLING 2016