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Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens

Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens

18 October 2024
Zhepeng Cen
Yao Liu
Siliang Zeng
Pratik Chaudhar
Huzefa Rangwala
George Karypis
Rasool Fakoor
    SyDa
    AIFin
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Papers citing "Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens"

3 / 3 papers shown
Title
Teaching Large Language Models to Reason through Learning and Forgetting
Teaching Large Language Models to Reason through Learning and Forgetting
Tianwei Ni
Allen Nie
Sapana Chaudhary
Yao Liu
Huzefa Rangwala
Rasool Fakoor
ReLM
CLL
LRM
101
0
0
15 Apr 2025
From Demonstrations to Rewards: Alignment Without Explicit Human Preferences
From Demonstrations to Rewards: Alignment Without Explicit Human Preferences
Siliang Zeng
Yao Liu
Huzefa Rangwala
George Karypis
Mingyi Hong
Rasool Fakoor
44
2
0
15 Mar 2025
Your Language Model May Think Too Rigidly: Achieving Reasoning Consistency with Symmetry-Enhanced Training
Your Language Model May Think Too Rigidly: Achieving Reasoning Consistency with Symmetry-Enhanced Training
Yihang Yao
Zhepeng Cen
Miao Li
William Jongwon Han
Yuyou Zhang
Emerson Liu
Zuxin Liu
Chuang Gan
Ding Zhao
ReLM
LRM
70
0
0
25 Feb 2025
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