Samsung Research

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https://research.samsung.com/

samsungresearch

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Recent Activity

ingyu submitted a paper 12 days ago

LookaheadKV: Fast and Accurate KV Cache Eviction by Glimpsing into the Future without Generation

d7chong submitted a paper about 2 months ago

NanoQuant: Efficient Sub-1-Bit Quantization of Large Language Models

d7chong submitted a paper about 2 months ago

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

View all activity

Papers

LookaheadKV: Fast and Accurate KV Cache Eviction by Glimpsing into the Future without Generation

NanoQuant: Efficient Sub-1-Bit Quantization of Large Language Models

View all Papers

submitted a paper to Daily Papers 12 days ago

LookaheadKV: Fast and Accurate KV Cache Eviction by Glimpsing into the Future without Generation

Paper • 2603.10899 • Published 16 days ago • 6

submitted 2 papers to Daily Papers about 2 months ago

NanoQuant: Efficient Sub-1-Bit Quantization of Large Language Models

Paper • 2602.06694 • Published Feb 6 • 15

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

Paper • 2602.05367 • Published Feb 5 • 7

submitted a paper to Daily Papers about 2 months ago

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

Paper • 2602.03359 • Published Feb 3 • 10

submitted a paper to Daily Papers about 2 months ago

Shallow-π: Knowledge Distillation for Flow-based VLAs

Paper • 2601.20262 • Published Jan 28 • 2

submitted a paper to Daily Papers 2 months ago

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

Paper • 2601.07812 • Published Jan 12 • 6

in SamsungResearch/TRUEBench 3 months ago

[Update_25.12.24]

#4 opened 3 months ago by

updated a Space 3 months ago

TRUEBench

Explore and compare language model performance across categories and languages

submitted a paper to Daily Papers 3 months ago

Puzzle Curriculum GRPO for Vision-Centric Reasoning

Paper • 2512.14944 • Published Dec 16, 2025 • 36

submitted a paper to Daily Papers 3 months ago

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

Paper • 2512.12072 • Published Dec 12, 2025 • 17

in SamsungResearch/TRUEBench 4 months ago

[Update_25.11.26]

#3 opened 4 months ago by

updated a Space 5 months ago

TRUEBench

Explore and compare language model performance across categories and languages

in SamsungResearch/TRUEBench 5 months ago

[Update_25.10.15]

#2 opened 5 months ago by

updated a dataset 5 months ago

SamsungResearch/TRUEBench

Viewer • Updated Oct 15, 2025 • 142 • 280 • 30

in SamsungResearch/README 6 months ago

Update README.md

#2 opened 6 months ago by

in SamsungResearch/TRUEBench 6 months ago

[Update_25.10.02]

#1 opened 6 months ago by

in SamsungResearch/TRUEBench 6 months ago

Update README.md

#2 opened 6 months ago by

in SamsungResearch/TRUEBench 6 months ago

Update README.md

#2 opened 6 months ago by

published a Space 6 months ago

TRUEBench

Explore and compare language model performance across categories and languages

published a dataset 6 months ago

SamsungResearch/TRUEBench

Viewer • Updated Oct 15, 2025 • 142 • 280 • 30