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Sugato Ray PRO

sugatoray

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https://linkedin.com/in/sugatoray

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Recent Activity

updated a collection 1 day ago

upvoted a paper 1 day ago

World Action Models: A Survey

updated a collection 1 day ago

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upvoted 3 papers 1 day ago

World Action Models: A Survey

Paper • 2606.20781 • Published 8 days ago • 52

Training Open Models for Agentic Phone Use

Paper • 2606.23049 • Published 4 days ago • 14

Qwen-AgentWorld: Language World Models for General Agents

Paper • 2606.24597 • Published 3 days ago • 117

upvoted 2 articles 3 days ago

Article

Introducing North Mini Code: Cohere’s First Model For Developers

CohereLabs

•

17 days ago

• 75

Article

GLM-5.2: Built for Long-Horizon Tasks

zai-org

•

9 days ago

• 105

upvoted a paper 6 days ago

Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance

Paper • 2606.19195 • Published 9 days ago • 136

upvoted an article 7 days ago

Article

Beyond LoRA: Can you beat the most popular fine-tuning technique?

+2

BenjaminB, sayakpaul, hubnemo, kashif

•

8 days ago

• 62

upvoted a paper 9 days ago

Learning is Forgetting: LLM Training As Lossy Compression

Paper • 2604.07569 • Published Apr 8 • 1

upvoted an article 11 days ago

Article

MTEB Leaderboard: From a slow demo to feature-rich leaderboard

Samoed

•

14 days ago

• 22

upvoted a collection 11 days ago

SLMs (LT3B)

1 item • Updated 11 days ago • 1

upvoted 2 articles 16 days ago

Article

OpenEnv in Practice: Evaluating Tool-Using Agents in Real-World Environments

+3

christian-washington, ajasuja, santosh-iima, lewtun, burtenshaw

•

Feb 12

• 35

Article

The Open Source Community is backing OpenEnv for Agentic RL

+17

burtenshaw, spisakjo, lysandre, darktex, willcb, qjoy, pawalt, cwing-nv, danielhanchen, andrewzhou, thegovind, shimmyshimmer, Hamid-Nazeri, Sanyam, zkwentz, emre0, lewtun, sergiopaniego, banghua

•

18 days ago

• 91

upvoted a paper 18 days ago

RAGEN-2: Reasoning Collapse in Agentic RL

Paper • 2604.06268 • Published Apr 7 • 69

upvoted a collection 21 days ago

Gemma 4

Gemma 4 is Google's new model family including including E2B, E4B, 26B-A4B, and 31B. • 36 items • Updated 11 days ago • 222

upvoted a collection 23 days ago

Verbatim RAG v1

Hallucination free RAG and out SOTA state-of-the-art extractors • 8 items • Updated 24 days ago • 9

upvoted a paper about 1 month ago

zELO: ELO-inspired Training Method for Rerankers and Embedding Models

Paper • 2509.12541 • Published Sep 16, 2025 • 11

upvoted an article about 1 month ago

Article

Introducing the Ettin Reranker Family

tomaarsen

•

May 19

• 52

upvoted 3 papers about 1 month ago

ELF: Embedded Language Flows

Paper • 2605.10938 • Published May 11 • 15

Mean Mode Screaming: Mean--Variance Split Residuals for 1000-Layer Diffusion Transformers

Paper • 2605.06169 • Published May 7 • 237

NanoResearch: Co-Evolving Skills, Memory, and Policy for Personalized Research Automation

Paper • 2605.10813 • Published May 11 • 16