Samsung Research

company

https://research.samsung.com/

samsungresearch

samsung

AI & ML interests

None defined yet.

Recent Activity

d7chong submitted a paper about 6 hours ago

RaBiT: Residual-Aware Binarization Training for Accurate and Efficient LLMs

Ning-Ding submitted a paper 3 days ago

MeKi: Memory-based Expert Knowledge Injection for Efficient LLM Scaling

bf-jeon submitted a paper 11 days ago

Shallow-π: Knowledge Distillation for Flow-based VLAs

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Papers

RaBiT: Residual-Aware Binarization Training for Accurate and Efficient LLMs

MeKi: Memory-based Expert Knowledge Injection for Efficient LLM Scaling

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SamsungResearch 's Papers 6

Submitted by

Hyochan Chong

RaBiT: Residual-Aware Binarization Training for Accurate and Efficient LLMs

SamsungResearch

Samsung Research

1

Submitted by

Ning Ding

MeKi: Memory-based Expert Knowledge Injection for Efficient LLM Scaling

SamsungResearch

Samsung Research

3

Submitted by

Boseong Jeon

Shallow-π: Knowledge Distillation for Flow-based VLAs

SamsungResearch

Samsung Research

Submitted by

Adrian Bulat

More Images, More Problems? A Controlled Analysis of VLM Failure Modes

SamsungResearch

Samsung Research

Submitted by

Armen Jeddi

Puzzle Curriculum GRPO for Vision-Centric Reasoning

SamsungResearch

Samsung Research

Submitted by

Avinash Amballa

VOYAGER: A Training Free Approach for Generating Diverse Datasets using LLMs

SamsungResearch

Samsung Research

2