d0rj (Dmitry Balobin)

upvoted a collection 7 days ago

SmolLM2

Collection

State-of-the-art compact LLMs for on-device applications: 1.7B, 360M, 135M • 8 items • Updated 4 days ago • 159

upvoted a paper about 2 months ago

PingPong: A Benchmark for Role-Playing Language Models with User Emulation and Multi-Model Evaluation

Paper • 2409.06820 • Published Sep 10 • 62

upvoted 2 collections about 2 months ago

SAGE v1.1.0 release

Collection

4 items • Updated Apr 3 • 3

WebInstruct 🌐 Embeddings 🧱 Models

Collection

A collection of SoTA embeddings model fine-tuned on WebInstruct dataset to learn to pair instructions with its responses • 3 items • Updated Sep 4 • 11

upvoted a paper 2 months ago

Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models

Paper • 2408.02442 • Published Aug 5 • 21

upvoted 2 papers 3 months ago

The Russian-focused embedders' exploration: ruMTEB benchmark and Russian embedding model design

Paper • 2408.12503 • Published Aug 22 • 21

LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection

Paper • 2408.04284 • Published Aug 8 • 22

upvoted a paper 5 months ago

Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification

Paper • 2403.04696 • Published Mar 7 • 4

upvoted a collection 5 months ago

RU-MTEB

Collection

18 items • Updated Jun 5 • 8

upvoted an article 5 months ago

Article

Training and Finetuning Embedding Models with Sentence Transformers v3

May 28

• 155

upvoted 2 papers 6 months ago

Vikhr: The Family of Open-Source Instruction-Tuned Large Language Models for Russian

Paper • 2405.13929 • Published May 22 • 52

LoRA Learns Less and Forgets Less

Paper • 2405.09673 • Published May 15 • 87

upvoted a paper 7 months ago

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Paper • 2404.16821 • Published Apr 25 • 53

upvoted a collection 7 months ago

Phi-3

Collection

Phi-3 family of small language and multi-modal models. Language models are available in short- and long-context lengths. • 27 items • Updated 9 days ago • 489

upvoted a paper 7 months ago

Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset

Paper • 2403.09029 • Published Mar 14 • 54

upvoted a paper 8 months ago

NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data

Paper • 2402.15343 • Published Feb 23 • 12

upvoted a paper 9 months ago

Linear Transformers with Learnable Kernel Functions are Better In-Context Models

Paper • 2402.10644 • Published Feb 16 • 78

upvoted 2 collections 10 months ago

Saiga

Collection

LLaMA-based or Mistral-based Russian chat models • 8 items • Updated 5 days ago • 23

vikhr

Collection

A family of russian translated LLM • 4 items • Updated Jan 8 • 15

upvoted a paper 10 months ago

LLaMA Beyond English: An Empirical Study on Language Capability Transfer

Paper • 2401.01055 • Published Jan 2 • 54

Dmitry Balobin

AI & ML interests

Organizations

d0rj's activity

SmolLM2

PingPong: A Benchmark for Role-Playing Language Models with User Emulation and Multi-Model Evaluation

SAGE v1.1.0 release

WebInstruct 🌐 Embeddings 🧱 Models

Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models

The Russian-focused embedders' exploration: ruMTEB benchmark and Russian embedding model design

LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection

Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification

RU-MTEB

Training and Finetuning Embedding Models with Sentence Transformers v3

Vikhr: The Family of Open-Source Instruction-Tuned Large Language Models for Russian

LoRA Learns Less and Forgets Less

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Phi-3

Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset

NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data

Linear Transformers with Learnable Kernel Functions are Better In-Context Models

Saiga

vikhr

LLaMA Beyond English: An Empirical Study on Language Capability Transfer