Philippe Langlais
24 papers · 2000–2025 · 7 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (42) 🏃 Academic Marathon · Ultra 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Topic Evolution
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Conference Pioneer
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Unstoppable · Bronze
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The Questioner
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Century Club · Bronze
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Research topics
Machine Learning
(11)
Natural Language Processing
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Application Areas
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Artificial Intelligence
(6)
Deep Learning
(5)
Core AI
(5)
Learning Types · Machine Learning
(5)
Applications
(4)
Generation
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Resources & Methods
(3)
Architectures
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Core Methods
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Learning Paradigms
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Learning Types · Deep Learning
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Models
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Keywords
data augmentation
(3)
text classification
(3)
benchmark evaluation
(2)
text generation
(2)
zero-shot learning
(2)
natural language processing
(2)
pre-trained language model
(2)
student model
(2)
keyphrase generation
(2)
knowledge distillation
(2)
knowledge-grounded dialogue
(2)
sequence labeling
(1)
multilingual nlp
(1)
information extraction
(1)
machine translation
(1)
few-shot learning
(1)
contextual reasoning
(1)
attention mechanism
(1)
multi-task learning
(1)
named entity recognition
(1)
Papers
CHARPEVAL: Benchmarking Large Language Models’ Contextual Reasoning in Knowledge-Grounded Dialogue
ACL 2025
On Evaluation Protocols for Data Augmentation in a Limited Data Scenario
COLING 2025
ReGLA: Refining Gated Linear Attention
NAACL 2025
A linguistically-motivated evaluation methodology for unraveling model’s abilities in reading comprehension tasks
EMNLP 2024
BenchIE^FL: A Manually Re-Annotated Fact-Based Open Information Extraction Benchmark
ACL 2024
CHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems
ACL 2024
EUROPA: A Legal Multilingual Keyphrase Generation Dataset
ACL 2024
Is ChatGPT the ultimate Data Augmentation Algorithm?
EMNLP 2023
A new dataset for multilingual keyphrase generation
NeurIPS 2022
Effective Data Augmentation for Sentence Classification Using One VAE per Class
COLING 2022
RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation
NAACL 2022
Unsupervised multiple-choice question generation for out-of-domain Q&A fine-tuning
ACL 2022
RW-KD: Sample-wise Loss Terms Re-Weighting for Knowledge Distillation
EMNLP 2021
SC-LSTM: Learning Task-Specific Representations in Multi-Task Learning for Sequence Labeling
NAACL 2019
Extracting Parallel Sentences with Bidirectional Recurrent Neural Networks to Improve Machine Translation
COLING 2018
Going Beyond Word Cooccurrences in Global Lexical Selection for Statistical Machine Translation using a Multilayer Perceptron
IJCNLP 2011
Revisiting Context-based Projection Methods for Term-Translation Spotting in Comparable Corpora
COLING 2010
Improvements in Analogical Learning: Application to Translating Multi-Terms of the Medical Domain
EACL 2009
Scaling up Analogical Learning
COLING 2008
Translating Unknown Words by Analogical Learning
EMNLP 2007
Translating with Non-contiguous Phrases
EMNLP 2005
Adaptive Language and Translation Models for Interactive Machine Translation
EMNLP 2004
User-Friendly Text Prediction For Translators
EMNLP 2002
Unit Completion for a Computer-aided Translation Typing System
NAACL 2000