Dongyu Ru
9 papers · 2020–2024 · 3 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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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(32)
🐣
Hot Topic Early Bird
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(7)
Machine Learning
(6)
Natural Language Processing
(5)
Core AI · Artificial Intelligence
(5)
Applications
(4)
Core Methods
(4)
Learning Types · Machine Learning
(3)
Computer Vision
(2)
Deep Learning
(2)
Interdisciplinary
(2)
Core AI · Computer Vision
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Linguistics
(2)
Resources & Methods
(2)
Keywords
information retrieval
(2)
retrieval-augmented generation
(2)
large language model
(2)
latent variable
(2)
image retrieval
(1)
question answering
(1)
representation learning
(1)
cross-modal retrieval
(1)
transfer learning
(1)
uncertainty sampling
(1)
adversarial attack
(1)
probabilistic model
(1)
hallucination detection
(1)
language model
(1)
pre-trained language model
(1)
evaluation metric
(1)
named entity recognition
(1)
contrastive learning
(1)
image-text alignment
(1)
active learning
(1)
Papers
Knowledge-Centric Hallucination Detection
EMNLP 2024
OpenResearcher: Unleashing AI for Accelerated Scientific Research
EMNLP 2024
RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation
NeurIPS 2024
Unified Lexical Representation for Interpretable Visual-Language Alignment
NeurIPS 2024
Distributed Marker Representation for Ambiguous Discourse Markers and Entangled Relations
ACL 2023
StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding
EMNLP 2023
Nested Named Entity Recognition with Span-level Graphs
ACL 2022
Learning Logic Rules for Document-Level Relation Extraction
EMNLP 2021
Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space
EMNLP 2020