← Authors

Dzmitry Bahdanau

19 papers · 2014–2024 · 7 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (40) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14) 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (10) πŸ† Grand Slam 🌱 Topic Pioneer πŸ—ƒοΈ Keyword Collector (61) πŸ’Ž Century Club (19) πŸ”₯ Unstoppable (8) ❓ The Questioner

Conferences

EMNLP (6) NAACL (4) ACL (3) ICLR (2) NIPS (2) AAAI (1) ICML (1)

Top co-authors

Yoshua Bengio (5) Siva Reddy (5) Arian Hosseini (3) Arkil Patel (2) Alessandro Sordoni (2) Kyunghyun Cho (2) Maxime Chevalier-Boisvert (2) Aaron Courville (2) Chitwan Saharia (2) Torsten Scholak (2)

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 Encoder–Decoder for Statistical Machine Translation EMNLP 2014