Daniel Cohen
6 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (18) π£ Hot Topic Early Bird
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Research topics
Keywords
contrastive learning
(1)
reinforcement learning
(1)
text classification
(1)
machine translation
(1)
in-context learning
(1)
evaluation methodology
(1)
dense retrieval
(1)
relevance prediction
(1)
monte carlo sampling
(1)
performance evaluation
(1)
low-resource language
(1)
bias mitigation
(1)
language model
(1)
label distribution learning
(1)
parameter efficiency
(1)
dual encoder
(1)
contextual embedding
(1)
neural ranking
(1)
natural language explanation
(1)
byte pair encoding
(1)
Papers
Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from LLMs
ACL 2025
In-Context Example Ordering Guided by Label Distributions
NAACL 2024
Parameter-efficient Modularised Bias Mitigation via AdapterFusion
EACL 2023
CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking
EMNLP 2022
Evaluating the Performance of Reinforcement Learning Algorithms
ICML 2020
The Challenges of Optimizing Machine Translation for Low Resource Cross-Language Information Retrieval
EMNLP 2019