Yongkang Wu
9 papers · 2022–2026 · 5 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 · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Natural Language Processing
(7)
Artificial Intelligence
(5)
Core AI
(5)
Applications
(4)
Machine Learning
(3)
Learning Paradigms
(3)
Deep Learning
(2)
Knowledge & Reasoning
(2)
Generation
(2)
Learning Types
(2)
Reasoning
(2)
Resources & Methods
(2)
Understanding
(2)
Application Areas
(1)
Core Methods
(1)
Keywords
retrieval-augmented generation
(4)
multi-task learning
(2)
open-domain question answering
(2)
question answering
(2)
benchmark dataset
(1)
inductive reasoning
(1)
logical reasoning
(1)
natural language understanding
(1)
natural language inference
(1)
autoregressive model
(1)
text representation
(1)
language model
(1)
zero-shot transfer
(1)
pre-trained language model
(1)
constrained decoding
(1)
passage retrieval
(1)
prompt tuning
(1)
knowledge-intensive task
(1)
task correlation
(1)
knowledge distillation
(1)
Papers
Beyond Noise: Characterizing Creative Potential in Unverifiable LLM Hallucinations
ACL 2026
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmented Generation
NAACL 2025
Hierarchical Document Refinement for Long-context Retrieval-augmented Generation
ACL 2025
Neuro-Symbolic Query Compiler
ACL 2025
RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation
ACL 2025
Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models
ICLR 2024
Hence, Socrates is mortal: A Benchmark for Natural Language Syllogistic Reasoning
ACL 2023
IAG: Induction-Augmented Generation Framework for Answering Reasoning Questions
EMNLP 2023
Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding
COLING 2022