Enneng Yang

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upvoted a paper 4 days ago

LIBMoE: A Library for comprehensive benchmarking Mixture of Experts in Large Language Models

Paper • 2411.00918 • Published 8 days ago • 8

upvoted a paper 25 days ago

Baichuan-Omni Technical Report

Paper • 2410.08565 • Published 29 days ago • 82

upvoted a paper 29 days ago

Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality

Paper • 2410.05210 • Published Oct 7 • 10

upvoted 4 papers about 1 month ago

UniMuMo: Unified Text, Music and Motion Generation

Paper • 2410.04534 • Published Oct 6 • 18

CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling

Paper • 2409.19291 • Published Sep 28 • 18

Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models

Paper • 2410.02740 • Published Oct 3 • 52

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Paper • 2409.16040 • Published Sep 24 • 13

upvoted 3 papers about 2 months ago

LLMs + Persona-Plug = Personalized LLMs

Paper • 2409.11901 • Published Sep 18 • 30

Qwen2.5-Coder Technical Report

Paper • 2409.12186 • Published Sep 18 • 125

Towards a Unified View of Preference Learning for Large Language Models: A Survey

Paper • 2409.02795 • Published Sep 4 • 72

upvoted 3 papers 3 months ago

BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts

Paper • 2408.08274 • Published Aug 15 • 11

SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain

Paper • 2407.19584 • Published Jul 28 • 61

Theia: Distilling Diverse Vision Foundation Models for Robot Learning

Paper • 2407.20179 • Published Jul 29 • 45

upvoted a paper 4 months ago

WARP: On the Benefits of Weight Averaged Rewarded Policies

Paper • 2406.16768 • Published Jun 24 • 22