Adarsh Zolekar's picture

Building on HF

Adarsh Zolekar

adarshzolekar

·

AI & ML interests

Passionate about AI & ML, Deep Learning and related AI domains. Exploring models, datasets and applications while contributing to the Hugging Face community.

Recent Activity

liked a model 3 days ago

Qwen/Qwen3.6-35B-A3B

upvoted a paper 3 days ago

CiteVQA: Benchmarking Evidence Attribution for Trustworthy Document Intelligence

upvoted a paper 3 days ago

Code as Agent Harness

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Organizations

upvoted 2 papers 3 days ago

CiteVQA: Benchmarking Evidence Attribution for Trustworthy Document Intelligence

Paper • 2605.12882 • Published 12 days ago • 263

Code as Agent Harness

Paper • 2605.18747 • Published 7 days ago • 199

upvoted a paper 7 days ago

MinT: Managed Infrastructure for Training and Serving Millions of LLMs

Paper • 2605.13779 • Published 12 days ago • 217

upvoted a paper 16 days ago

Stream-R1: Reliability-Perplexity Aware Reward Distillation for Streaming Video Generation

Paper • 2605.03849 • Published 20 days ago • 124

upvoted 2 papers 29 days ago

Tstars-Tryon 1.0: Robust and Realistic Virtual Try-On for Diverse Fashion Items

Paper • 2604.19748 • Published Apr 21 • 250

LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model

Paper • 2604.20796 • Published Apr 22 • 240

upvoted 2 papers about 1 month ago

GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning

Paper • 2604.02721 • Published Apr 3 • 629

Adam's Law: Textual Frequency Law on Large Language Models

Paper • 2604.02176 • Published Apr 2 • 503

upvoted 2 papers 2 months ago

AI Can Learn Scientific Taste

Paper • 2603.14473 • Published Mar 15 • 426

Demystifing Video Reasoning

Paper • 2603.16870 • Published Mar 17 • 371

upvoted 4 papers 3 months ago

ERNIE 5.0 Technical Report

Paper • 2602.04705 • Published Feb 4 • 268

Weak-Driven Learning: How Weak Agents make Strong Agents Stronger

Paper • 2602.08222 • Published Feb 9 • 290

Green-VLA: Staged Vision-Language-Action Model for Generalist Robots

Paper • 2602.00919 • Published Jan 31 • 325

OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration

Paper • 2602.05400 • Published Feb 5 • 353

upvoted 4 collections 4 months ago

Multimodal AI Models

Purpose: Models that understand text + image + audio together. • 5 items • Updated Jan 23 • 1

Audio & Speech Models

Purpose: Speech recognition, text-to-speech, music, audio analysis. • 5 items • Updated Jan 23 • 1

Vision Models (Image & Video)

Purpose: Text-to-image, image classification, detection, segmentation. • 5 items • Updated Jan 23 • 1

Text & Code Models (NLP)

Purpose: Text generation, summarization, translation, embeddings, coding. • 5 items • Updated Jan 23 • 1

upvoted 2 articles 4 months ago

Article

Gradio’s Dataframe has been upgraded! 🎨

hmb

•

Mar 19, 2025

• 11

Article

Introducing Gradio's new Dataframe!

hmb, abidlabs

•

Mar 24, 2025

• 31