iNLP Lab @ SUTD

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https://github.com/iNLP-Lab

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Recent Activity

rryner updated a dataset about 15 hours ago

iNLP-Lab/GlobeAudio

Albus-Chen submitted a paper about 17 hours ago

What Should Agents Say? Action-state Communication for Efficient Multi-Agent Systems

rryner new activity 1 day ago

iNLP-Lab/GlobeAudio:Add task category and link to paper

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Papers

What Should Agents Say? Action-state Communication for Efficient Multi-Agent Systems

Language of Thought Shapes Output Diversity in Large Language Models

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iNLP-Lab 's papers 3

Submitted by

Chen Huang

What Should Agents Say? Action-state Communication for Efficient Multi-Agent Systems

iNLP-Lab

iNLP Lab @ SUTD

Submitted by

xushaoyang

Language of Thought Shapes Output Diversity in Large Language Models

iNLP-Lab

iNLP Lab @ SUTD

Submitted by

Chen Huang

PEAR: Phase Entropy Aware Reward for Efficient Reasoning

iNLP-Lab

iNLP Lab @ SUTD