Felix Tuma

floom

AI & ML interests

NLP

Recent Activity

updated a collection 1 day ago

ShowAndTell-2025-01-30

updated a collection 1 day ago

ShowAndTell-2025-01-30

updated a collection 1 day ago

ShowAndTell-2025-01-30

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floom's activity

upvoted 2 papers 6 days ago

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Paper • 2501.12948 • Published 14 days ago • 294

DeepSeek-V3 Technical Report

Paper • 2412.19437 • Published Dec 27, 2024 • 47

upvoted a paper 9 days ago

Chain-of-Retrieval Augmented Generation

Paper • 2501.14342 • Published 12 days ago • 47

upvoted a paper 21 days ago

MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published 22 days ago • 272

upvoted 2 papers 2 months ago

Natural Language Reinforcement Learning

Paper • 2411.14251 • Published Nov 21, 2024 • 28

Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions

Paper • 2411.14405 • Published Nov 21, 2024 • 58

upvoted a paper 3 months ago

Retrospective Learning from Interactions

Paper • 2410.13852 • Published Oct 17, 2024 • 8

upvoted a paper 4 months ago

TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices

Paper • 2410.00531 • Published Oct 1, 2024 • 30

upvoted a paper 5 months ago

Qwen2.5-Coder Technical Report

Paper • 2409.12186 • Published Sep 18, 2024 • 140

upvoted 6 papers 6 months ago

Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Paper • 2408.12528 • Published Aug 22, 2024 • 51

Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs

Paper • 2408.12060 • Published Aug 22, 2024 • 6

The ShareLM Collection and Plugin: Contributing Human-Model Chats for the Benefit of the Community

Paper • 2408.08291 • Published Aug 15, 2024 • 11

upvoted a paper 7 months ago

LLM Circuit Analyses Are Consistent Across Training and Scale

Paper • 2407.10827 • Published Jul 15, 2024 • 4

upvoted a collection 7 months ago

Qwen2

Collection

Qwen2 language models, including pretrained and instruction-tuned models of 5 sizes, including 0.5B, 1.5B, 7B, 57B-A14B, and 72B. • 39 items • Updated Nov 28, 2024 • 356

upvoted a paper 7 months ago

Symbolic Learning Enables Self-Evolving Agents

Paper • 2406.18532 • Published Jun 26, 2024 • 12

upvoted 2 papers 8 months ago

LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs

Paper • 2406.15319 • Published Jun 21, 2024 • 64

DataComp-LM: In search of the next generation of training sets for language models

Paper • 2406.11794 • Published Jun 17, 2024 • 50