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Honglak Lee

University of Michigan, Ann Arbor

EXAONE 3.5: Series of Large Language Models for Real-world Use Cases

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Dec 09, 2024
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If You Can't Use Them, Recycle Them: Optimizing Merging at Scale Mitigates Performance Tradeoffs

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Dec 05, 2024
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Interactive and Expressive Code-Augmented Planning with Large Language Models

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Nov 21, 2024
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Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents

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Oct 29, 2024
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EXAONE 3.0 7.8B Instruction Tuned Language Model

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Aug 07, 2024
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Deep Exploration of Cross-Lingual Zero-Shot Generalization in Instruction Tuning

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Jun 13, 2024
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MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows

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Jun 10, 2024
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Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense

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May 07, 2024
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Small Language Models Need Strong Verifiers to Self-Correct Reasoning

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Apr 26, 2024
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Instruction Matters, a Simple yet Effective Task Selection Approach in Instruction Tuning for Specific Tasks

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Apr 25, 2024
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