MichaelBarryUK (Michael Barry) – Community Activity

commented 2 papers about 1 month ago

From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging

Paper • 2410.01215 • Published Oct 2 • 30 •

8

From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging

Paper • 2410.01215 • Published Oct 2 • 30 •

8

commented 6 papers 3 months ago

Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models

Paper • 2408.02085 • Published Aug 4 • 17 •

4

MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities

Paper • 2408.00765 • Published Aug 1 • 12 •

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MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities

Paper • 2408.00765 • Published Aug 1 • 12 •

9

New activity in black-forest-labs/FLUX.1-dev 3 months ago

Commercial?

3

#7 opened 3 months ago by

MichaelBarryUK

commented 2 papers 3 months ago

TinyLlama: An Open-Source Small Language Model

Paper • 2401.02385 • Published Jan 4 • 89 •

14

MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities

Paper • 2408.00765 • Published Aug 1 • 12 •

9

commented 9 papers 4 months ago

Case2Code: Learning Inductive Reasoning with Synthetic Data

Paper • 2407.12504 • Published Jul 17 • 7 •

7

Efficient Training with Denoised Neural Weights

Paper • 2407.11966 • Published Jul 16 • 8 •

3

Q-Sparse: All Large Language Models can be Fully Sparsely-Activated

Paper • 2407.10969 • Published Jul 15 • 20 •

3

Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients

Paper • 2407.08296 • Published Jul 11 • 31 •

3

Autoregressive Speech Synthesis without Vector Quantization

Paper • 2407.08551 • Published Jul 11 • 14 •

4

Inference Performance Optimization for Large Language Models on CPUs

Paper • 2407.07304 • Published Jul 10 • 52 •

7

ProgressGym: Alignment with a Millennium of Moral Progress

Paper • 2406.20087 • Published Jun 28 • 3 •

2

Wavelets Are All You Need for Autoregressive Image Generation

Paper • 2406.19997 • Published Jun 28 • 29 •

5

Wavelets Are All You Need for Autoregressive Image Generation

Paper • 2406.19997 • Published Jun 28 • 29 •

5

Michael Barry

AI & ML interests

Organizations

MichaelBarryUK's activity

From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging

From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging

Automated Design of Agentic Systems

LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs

Transformer Explainer: Interactive Learning of Text-Generative Models

Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models

MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities

MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities

Commercial?

TinyLlama: An Open-Source Small Language Model

MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities

Case2Code: Learning Inductive Reasoning with Synthetic Data

Efficient Training with Denoised Neural Weights

Q-Sparse: All Large Language Models can be Fully Sparsely-Activated

Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients

Autoregressive Speech Synthesis without Vector Quantization

Inference Performance Optimization for Large Language Models on CPUs

ProgressGym: Alignment with a Millennium of Moral Progress

Wavelets Are All You Need for Autoregressive Image Generation

Wavelets Are All You Need for Autoregressive Image Generation