Dzmitry Bahdanau
19 papers · 2014–2024 · 7 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (43) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Topic Pioneer
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Topic Evolution
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Grand Slam
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Trend Setter
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Century Club · Bronze
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Unstoppable · Bronze
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Keyword Collector
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Research topics
Machine Learning
(11)
Natural Language Processing
(10)
Artificial Intelligence
(9)
Learning Types · Machine Learning
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Deep Learning
(7)
Core AI
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Applications
(6)
Understanding
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Learning Types · Deep Learning
(4)
Reinforcement Learning
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Learning Paradigms
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Keywords
large language model
(6)
semantic parsing
(6)
in-context learning
(4)
few-shot learning
(3)
sequence generation
(2)
code generation
(2)
recurrent neural network
(2)
intent classification
(2)
sample efficiency
(2)
systematic generalization
(2)
reinforcement learning
(2)
data augmentation
(2)
text classification
(2)
instruction following
(2)
compositional generalization
(2)
speech recognition
(1)
knowledge distillation
(1)
benchmark evaluation
(1)
weakly supervised learning
(1)
dependency parsing
(1)
Papers
Evaluating In-Context Learning of Libraries for Code Generation
NAACL 2024
In-Context Learning for Text Classification with Many Labels
EMNLP 2023
MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations
EMNLP 2023
PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation
EMNLP 2023
Compositional Generalization in Dependency Parsing
ACL 2022
Data Augmentation for Intent Classification with Off-the-shelf Large Language Models
ACL 2022
LAGr: Label Aligned Graphs for Better Systematic Generalization in Semantic Parsing
ACL 2022
On the Compositional Generalization Gap of In-Context Learning
EMNLP 2022
DuoRAT: Towards Simpler Text-to-SQL Models
NAACL 2021
PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models
EMNLP 2021
Systematic Generalization with Edge Transformers
NeurIPS 2021
Understanding by Understanding Not: Modeling Negation in Language Models
NAACL 2021
Combating False Negatives in Adversarial Imitation Learning (Student Abstract)
AAAI 2020
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
ICLR 2019
Learning to Understand Goal Specifications by Modelling Reward
ICLR 2019
Commonsense mining as knowledge base completion? A study on the impact of novelty
NAACL 2018
Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control
ICML 2017
Attention-Based Models for Speech Recognition
NeurIPS 2015
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
EMNLP 2014