YUCHUL JUNG

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upvoted a paper 19 days ago

Mixture-of-Agents Enhances Large Language Model Capabilities

Paper • 2406.04692 • Published 22 days ago • 49

upvoted a paper 2 months ago

PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training

Paper • 2309.10400 • Published Sep 19, 2023 • 23

upvoted 8 papers 3 months ago

Best Practices and Lessons Learned on Synthetic Data for Language Models

Paper • 2404.07503 • Published Apr 11 • 24

Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences

Paper • 2404.03715 • Published Apr 4 • 58

Adapting LLaMA Decoder to Vision Transformer

Paper • 2404.06773 • Published Apr 10 • 13

ReFT: Representation Finetuning for Language Models

Paper • 2404.03592 • Published Apr 4 • 74

TnT-LLM: Text Mining at Scale with Large Language Models

Paper • 2403.12173 • Published Mar 18 • 17

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Paper • 2403.12968 • Published Mar 19 • 23

Larimar: Large Language Models with Episodic Memory Control

Paper • 2403.11901 • Published Mar 18 • 30

MusicHiFi: Fast High-Fidelity Stereo Vocoding

Paper • 2403.10493 • Published Mar 15 • 16

upvoted 10 papers 4 months ago

Yi: Open Foundation Models by 01.AI

Paper • 2403.04652 • Published Mar 7 • 59

ShortGPT: Layers in Large Language Models are More Redundant Than You Expect

Paper • 2403.03853 • Published Mar 6 • 61

Learning to Decode Collaboratively with Multiple Language Models

Paper • 2403.03870 • Published Mar 6 • 17

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

Paper • 2403.03507 • Published Mar 6 • 179

FinTral: A Family of GPT-4 Level Multimodal Financial Large Language Models

Paper • 2402.10986 • Published Feb 16 • 74

GPTVQ: The Blessing of Dimensionality for LLM Quantization

Paper • 2402.15319 • Published Feb 23 • 19

MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases

Paper • 2402.14905 • Published Feb 22 • 81

Divide-or-Conquer? Which Part Should You Distill Your LLM?

Paper • 2402.15000 • Published Feb 22 • 22

AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning

Paper • 2402.15506 • Published Feb 23 • 10

API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs

Paper • 2402.15491 • Published Feb 23 • 13

upvoted a collection 7 months ago

Korean Datasets I've released so far.

Collection

지금까지 업로드한 한국어 데이터셋 콜렉션입니다. • 8 items • Updated May 24 • 14