Ahmed Heakl

Ahmed Heakl on Hugging Face Daily Papers: 17 papers, 1 in the top 3 of their day, 291 upvotes.

  1. Program-Verified Self-Evolution for Vision-Language Models 14 upvotes, #48 of 2026-09-29
  2. DocAtlas: Multilingual Document Understanding Across 80+ Languages 4 upvotes, #40 of 2026-05-20
  3. CEPO: RLVR Self-Distillation using Contrastive Evidence Policy Optimization 14 upvotes, #15 of 2026-05-20
  4. WorldCache: Content-Aware Caching for Accelerated Video World Models 4 upvotes, #30 of 2026-03-24
  5. Mobile-O: Unified Multimodal Understanding and Generation on Mobile Device 23 upvotes, #6 of 2026-02-24
  6. Dr.LLM: Dynamic Layer Routing in LLMs 30 upvotes, #10 of 2025-10-15
  7. VideoMolmo: Spatio-Temporal Grounding Meets Pointing 10 upvotes, #16 of 2025-06-18
  8. Guaranteed Guess: A Language Modeling Approach for CISC-to-RISC Transpilation with Testing Guarantees 11 upvotes, #15 of 2025-06-18
  9. SVRPBench: A Realistic Benchmark for Stochastic Vehicle Routing Problem 14 upvotes, #21 of 2025-05-29
  10. CASS: Nvidia to AMD Transpilation with Data, Models, and Benchmark 1 upvotes, #66 of 2025-05-27
  11. KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding 6 upvotes, #18 of 2025-02-24
  12. AIN: The Arabic INclusive Large Multimodal Model 15 upvotes, #12 of 2025-02-04
  13. LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs 57 upvotes, #3 of 2025-01-13
  14. From CISC to RISC: language-model guided assembly transpilation 11 upvotes, #16 of 2024-11-26
  15. CAMEL-Bench: A Comprehensive Arabic LMM Benchmark 8 upvotes, #17 of 2024-10-25
  16. ArzEn-LLM: Code-Switched Egyptian Arabic-English Translation and Speech Recognition Using LLMs 4 upvotes, #16 of 2024-06-28
  17. ResumeAtlas: Revisiting Resume Classification with Large-Scale Datasets and Large Language Models 3 upvotes, #17 of 2024-06-28

Data: hysts-bot-data/daily-papers-stats and the Daily Papers API. Open data: tardellirs/paper-pulse-data. Sister project: Model Pulse, the download history of every model on the Hub.