Akshita Bhagia
10 papers · 2022–2025 · 5 venues · across top CS/AI venues
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Achievements
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Machine Learning
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Natural Language Processing
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Artificial Intelligence
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Deep Learning
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(5)
Learning Types · Machine Learning
(4)
Generation
(3)
Learning Types · Deep Learning
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Optimization & Theory
(2)
Computer Vision
(1)
Keywords
large language model
(3)
zero-shot learning
(2)
language model
(2)
few-shot learning
(2)
visual reasoning
(1)
in-context learning
(1)
machine translation
(1)
multimodal learning
(1)
visual question answering
(1)
image captioning
(1)
language modeling
(1)
corpus construction
(1)
web corpus
(1)
continued pretraining
(1)
low-resource language
(1)
instruction tuning
(1)
model training
(1)
text generation
(1)
parameter-efficient fine-tuning
(1)
domain adaptation
(1)
Papers
DataDecide: How to Predict Best Pretraining Data with Small Experiments
ICML 2025
OLMoE: Open Mixture-of-Experts Language Models
ICLR 2025
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
ACL 2024
OLMo: Accelerating the Science of Language Models
ACL 2024
Paloma: A Benchmark for Evaluating Language Model Fit
NeurIPS 2024
What's In My Big Data?
ICLR 2024
HINT: Hypernetwork Instruction Tuning for Efficient Zero- and Few-Shot Generalisation
ACL 2023
Continued Pretraining for Better Zero- and Few-Shot Promptability
EMNLP 2022
Findings of the WMT’22 Shared Task on Large-Scale Machine Translation Evaluation for African Languages
EMNLP 2022
On Advances in Text Generation from Images Beyond Captioning: A Case Study in Self-Rationalization
EMNLP 2022