Salem Lahlou
15 papers · 2019–2026 · 9 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 ↓+5 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (24) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 👥 Mega-Team · Squad
👑
Triple Crown
🏆
Grand Slam
🗃️
Keyword Collector
(70)
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Artificial Intelligence
(9)
Machine Learning
(8)
Deep Learning
(7)
Core AI
(7)
Models
(5)
Optimization & Theory
(5)
Bayesian & Probabilistic · Machine Learning
(4)
Natural Language Processing
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Learning Types · Machine Learning
(3)
Resources & Methods
(3)
Security & Privacy
(1)
Architectures
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Keywords
generative flow network
(6)
variational inference
(3)
large language model
(2)
chain-of-thought reasoning
(2)
markov chain monte carlo
(2)
transfer learning
(1)
mathematical reasoning
(1)
sample efficiency
(1)
symbolic reasoning
(1)
curriculum learning
(1)
interactive learning
(1)
multilingual nlp
(1)
question answering
(1)
extractive summarization
(1)
preference optimization
(1)
bayesian inference
(1)
text generation
(1)
arabic dialect
(1)
instruction tuning
(1)
game theory
(1)
Papers
ArabicDialectHub: A Cross-Dialectal Arabic Learning Resource and Platform
EACL 2026
Communication Enables Cooperation in LLM Agents: A Comparison with Curriculum-Based Approaches
EACL 2026
FinChain: A Symbolic Benchmark for Verifiable Chain-of-Thought Financial Reasoning
ACL 2026
Loss-Guided Auxiliary Agents for Overcoming Mode Collapse in GFlowNets
AAAI 2026
Particle GFlowNets: Rethinking Generative Marginalization Models
UAI 2026
SAHM: A Benchmark for Arabic Financial and Shari’ah-Compliant Reasoning
ACL 2026
SD-E2: Semantic Exploration for Reasoning Under Token Budgets
EACL 2026
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis
UAI 2025
PORT: Preference Optimization on Reasoning Traces
NAACL 2025
A theory of continuous generative flow networks
ICML 2023
GFlowNet Foundations
JMLR 2023
GFlowNets and variational inference
ICLR 2023
GFlowOut: Dropout with Generative Flow Networks
ICML 2023
Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks
NeurIPS 2023
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
ICLR 2019