Alessandra Russo
16 papers · 2019–2026 · 7 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
Jump to papers ↓+8 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (35) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Keyword Champion
(2)
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Conference Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(80)
Top co-authors
Research topics
Artificial Intelligence
(14)
Core AI
(14)
Machine Learning
(9)
Learning Types Β· Machine Learning
(6)
Core Methods
(4)
Deep Learning
(3)
Natural Language Processing
(3)
Reinforcement Learning
(3)
Learning Paradigms
(3)
Learning Types Β· Deep Learning
(3)
Methods
(3)
Computer Science
(1)
Knowledge & Reasoning
(1)
Applications Β· Reinforcement Learning
(1)
Applications Β· Natural Language Processing
(1)
Keywords
answer set programming
(5)
inductive logic programming
(5)
reinforcement learning
(2)
neuro-symbolic learning
(2)
grammar learning
(2)
hierarchical reinforcement learning
(2)
hypothesis learning
(2)
representation learning
(2)
transfer learning
(2)
neuro-symbolic ai
(2)
neural network
(2)
constraint satisfaction
(1)
machine reading comprehension
(1)
natural language understanding
(1)
curriculum learning
(1)
reading comprehension
(1)
end-to-end learning
(1)
incremental learning
(1)
low-rank adaptation
(1)
streaming data
(1)
Papers
Beyond Fixed Tasks: Unsupervised Environment Design for Task-Level Pairs
AAAI 2026
Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts
ACL 2026
Learning and Enforcing Context-Sensitive Control for LLMs
ACL 2025
Hierarchies of Reward Machines
ICML 2023
Neuro-Symbolic Learning of Answer Set Programs from Raw Data
IJCAI 2023
Towards preserving word order importance through Forced Invalidation
EACL 2023
Detect, Understand, Act: A Neuro-Symbolic Hierarchical Reinforcement Learning Framework (Extended Abstract)
IJCAI 2022
Formalizing Consistency and Coherence of Representation Learning
NeurIPS 2022
Search Space Expansion for Efficient Incremental Inductive Logic Programming from Streamed Data
IJCAI 2022
Discrete Reasoning Templates for Natural Language Understanding
EACL 2021
Numerical reasoning in machine reading comprehension tasks: are we there yet?
EMNLP 2021
Scalable Non-observational Predicate Learning in ASP
IJCAI 2021
FastLAS: Scalable Inductive Logic Programming Incorporating Domain-Specific Optimisation Criteria
AAAI 2020
Induction of Subgoal Automata for Reinforcement Learning
AAAI 2020
Learning Invariants through Soft Unification
NeurIPS 2020
Representing and Learning Grammars in Answer Set Programming
AAAI 2019