Denis Akhiyarov

dtanow's activity

• All
• Models
• Datasets
• Spaces
• Papers
• Collections
• Community
• Posts
• Upvotes
• Likes

upvoted a paper 10 days ago

GitChameleon: Unmasking the Version-Switching Capabilities of Code Generation Models

Paper • 2411.05830 • Published 17 days ago • 20

upvoted an article 2 months ago

view article

Article

Training and Finetuning Embedding Models with Sentence Transformers v3

May 28

• 158

upvoted 2 papers 3 months ago

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Paper • 2408.06292 • Published Aug 12 • 115

Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Paper • 2405.21060 • Published May 31 • 63

upvoted a collection 3 months ago

Llama-3.1 Quantization

Collection

Neural Magic quantized Llama-3.1 models • 22 items • Updated 14 minutes ago • 39

upvoted 2 papers 5 months ago

McEval: Massively Multilingual Code Evaluation

Paper • 2406.07436 • Published Jun 11 • 40

TextGrad: Automatic "Differentiation" via Text

Paper • 2406.07496 • Published Jun 11 • 27

upvoted an article 7 months ago

view article

Article

StarCoder2-Instruct: Fully Transparent and Permissive Self-Alignment for Code Generation

Apr 29

• 75

upvoted 4 papers 7 months ago

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Paper • 2404.14219 • Published Apr 22 • 254

LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency

Paper • 2404.12872 • Published Apr 19 • 11

PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation

Paper • 2404.13026 • Published Apr 19 • 23

AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation

Paper • 2404.12753 • Published Apr 19 • 41

upvoted 8 papers 8 months ago

LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Paper • 2404.05961 • Published Apr 9 • 64

ReFT: Representation Finetuning for Language Models

Paper • 2404.03592 • Published Apr 4 • 90

Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences

Paper • 2404.03715 • Published Apr 4 • 60

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models

Paper • 2404.02575 • Published Apr 3 • 47

Advancing LLM Reasoning Generalists with Preference Trees

Paper • 2404.02078 • Published Apr 2 • 44

The Unreasonable Ineffectiveness of the Deeper Layers

Paper • 2403.17887 • Published Mar 26 • 78

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 144

Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6 • 109