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In-Context Learning
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In-Context Learning
XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference
In-context learning (ICL) approaches typically leverage prompting to condition decoder-only language model generation on reference …
João Monteiro
,
Étienne Marcotte
,
Pierre-André Noël
,
Valentina Zantedeschi
,
David Vazquez
,
Nicolas Chapados
,
Christopher Pal
,
Perouz Taslakian
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
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InCoRo: In-Context Learning for Robotics Control with Feedback Loops
One of the challenges in robotics is to enable robotic units with the reasoning capability that would be robust enough to execute …
Jiaquiang Ye Zhu
,
Carla Gomez
,
David Vazquez
,
Michal Drozdzal
ArXiv, 2024.
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Citation
MAGNIFICO: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations
Humans possess a remarkable ability to assign novel interpretations to linguistic expressions, enabling them to learn new words and …
Arkil Patel
,
Satwik Bhattamishra
,
Siva Reddy
,
Dzmitry Bahdanau
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023.
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In-Context Learning for Text Classification with Many Labels
In-context learning (ICL) using large language models for tasks with many labels is challenging due to the limited context window, …
Aristides Milios
,
Dzmitry Bahdanau
,
Siva Reddy
Workshop at the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022.
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