Nadezhda Chirkova
14 papers · 2018–2026 · 7 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (33) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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source code
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retrieval-augmented generation
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text classification
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sequence labeling
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neural network compression
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cross-lingual transfer
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natural language generation
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batch normalization
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information retrieval
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language modeling
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neural network training
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structured sparsity
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multilingual retrieval
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importance sampling
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marginal probability
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cross-lingual information retrieval
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Papers
LLM-as-a-qualitative-judge: automating error analysis in natural language generation
EACL 2026
Provence: efficient and robust context pruning for retrieval-augmented generation
ICLR 2025
BERGEN: A Benchmarking Library for Retrieval-Augmented Generation
EMNLP 2024
Key ingredients for effective zero-shot cross-lingual knowledge transfer in generative tasks
NAACL 2024
Retrieval-augmented generation in multilingual settings
ACL 2024
CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code
ICLR 2023
Should you marginalize over possible tokenizations?
ACL 2023
Probing Pretrained Models of Source Codes
EMNLP 2022
A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code
NAACL 2021
On the Embeddings of Variables in Recurrent Neural Networks for Source Code
NAACL 2021
On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay
NeurIPS 2021
On Power Laws in Deep Ensembles
NeurIPS 2020
Structured Sparsification of Gated Recurrent Neural Networks
AAAI 2020
Bayesian Compression for Natural Language Processing
EMNLP 2018