Dzmitry Bahdanau
19 papers · 2014–2024 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (10) π£ Hot Topic Early Bird π Interdisciplinary Bridge π Conference Polyglot (7) π Cross-Pollinator (14)
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Conference Polyglot
(7)
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Academic Marathon
(10)
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Grand Slam
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Topic Pioneer
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Keyword Collector
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Century Club
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The Questioner
Conferences
EMNLP (6)
NAACL (4)
ACL (3)
ICLR (2)
NIPS (2)
AAAI (1)
ICML (1)
Top co-authors
Keywords
semantic parsing
(6)
large language model
(6)
in-context learning
(4)
few-shot learning
(3)
data augmentation
(2)
text classification
(2)
compositional generalization
(2)
systematic generalization
(2)
code generation
(2)
recurrent neural network
(2)
sequence generation
(2)
intent classification
(2)
prompt engineering
(1)
speech recognition
(1)
zero-shot learning
(1)
knowledge distillation
(1)
weakly supervised learning
(1)
benchmark evaluation
(1)
dependency parsing
(1)
language modeling
(1)
Papers
Evaluating In-Context Learning of Libraries for Code Generation
NAACL 2024
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
In-Context Learning for Text Classification with Many Labels
EMNLP 2023
Compositional Generalization in Dependency Parsing
ACL 2022
Data Augmentation for Intent Classification with Off-the-shelf Large Language Models
ACL 2022
On the Compositional Generalization Gap of In-Context Learning
EMNLP 2022
LAGr: Label Aligned Graphs for Better Systematic Generalization in Semantic Parsing
ACL 2022
Understanding by Understanding Not: Modeling Negation in Language Models
NAACL 2021
PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models
EMNLP 2021
DuoRAT: Towards Simpler Text-to-SQL Models
NAACL 2021
Systematic Generalization with Edge Transformers
NIPS 2021
Combating False Negatives in Adversarial Imitation Learning (Student Abstract)
AAAI 2020
Learning to Understand Goal Specifications by Modelling Reward
ICLR 2019
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
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
NIPS 2015
Learning Phrase Representations using RNN EncoderβDecoder for Statistical Machine Translation
EMNLP 2014