Sylvain Lamprier
26 papers · 2018–2025 · 8 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (52) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Dynamic Duo
(10)
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Triple Crown
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Prolific Year · Productive
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Unstoppable · Bronze
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Century Club · Bronze
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Renaissance Researcher
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Keyword Collector
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Research topics
Machine Learning
(19)
Artificial Intelligence
(10)
Deep Learning
(9)
Core AI
(9)
Natural Language Processing
(8)
Optimization & Theory
(8)
Learning Types · Machine Learning
(7)
Reinforcement Learning
(6)
Application Areas
(6)
Core Methods
(6)
Generation
(6)
Methods
(6)
Applications
(4)
Learning Types · Deep Learning
(4)
Models
(4)
Keywords
reinforcement learning
(6)
text generation
(4)
generative adversarial network
(4)
language generation
(3)
question answering
(3)
sparse reward
(3)
large language model
(2)
demographic parity
(2)
abstractive summarization
(2)
table question answering
(2)
adversarial learning
(2)
equalized odd
(2)
summarization evaluation
(2)
domain adaptation
(2)
curriculum learning
(2)
text summarization
(2)
sensitive attribute
(2)
question generation
(2)
temporal dynamics
(1)
variational inference
(1)
Papers
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces
ICML 2025
Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting
NAACL 2025
Rethinking NLP for Chemistry: A Critical Look at the USPTO Benchmark
EMNLP 2025
Structural Deep Encoding for Table Question Answering
ACL 2025
Learning Relational Decomposition of Queries for Question Answering from Tables
ACL 2024
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing
ICLR 2024
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search
ICML 2023
Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning
ICML 2023
Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning
ICML 2023
A Neural Tangent Kernel Perspective of GANs
ICML 2022
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching
ICLR 2022
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL
NeurIPS 2022
Fairness without the Sensitive Attribute via Causal Variational Autoencoder
IJCAI 2022
Generative Cooperative Networks for Natural Language Generation
ICML 2022
Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation
EMNLP 2021
PDE-Driven Spatiotemporal Disentanglement
ICLR 2021
QuestEval: Summarization Asks for Fact-based Evaluation
EMNLP 2021
To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs
NeurIPS 2021
ColdGANs: Taming Language GANs with Cautious Sampling Strategies
NeurIPS 2020
Discriminative Adversarial Search for Abstractive Summarization
ICML 2020
Fairness-Aware Neural Rényi Minimization for Continuous Features
IJCAI 2020
MLSUM: The Multilingual Summarization Corpus
EMNLP 2020
Stochastic Latent Residual Video Prediction
ICML 2020
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models
EMNLP 2019
A Recurrent Neural Cascade-based Model for Continuous-Time Diffusion
ICML 2019
Profile-Based Bandit with Unknown Profiles
JMLR 2018