CodeScience (CodeScience)

Lemoncoke

authored a paper about 2 months ago

OpenOmni: Large Language Models Pivot Zero-shot Omnimodal Alignment across Language with Real-time Self-Aware Emotional Speech Synthesis

Paper • 2501.04561 • Published Jan 8 • 16

Lemoncoke

authored 4 papers 2 months ago

Evaluating and Aligning CodeLLMs on Human Preference

Paper • 2412.05210 • Published Dec 6, 2024 • 47

Single-Cell Omics Arena: A Benchmark Study for Large Language Models on Cell Type Annotation Using Single-Cell Data

Paper • 2412.02915 • Published Dec 3, 2024

ExecRepoBench: Multi-level Executable Code Completion Evaluation

Paper • 2412.11990 • Published Dec 16, 2024

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey

Paper • 2412.18619 • Published Dec 16, 2024 • 55

Wa2erGo

authored a paper 2 months ago

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey

Paper • 2412.18619 • Published Dec 16, 2024 • 55

lzchen2001

authored a paper 4 months ago

Ruler: A Model-Agnostic Method to Control Generated Length for Large Language Models

Paper • 2409.18943 • Published Sep 27, 2024 • 29

Wa2erGo

authored a paper 5 months ago

Selecting Influential Samples for Long Context Alignment via Homologous Models' Guidance and Contextual Awareness Measurement

Paper • 2410.15633 • Published Oct 21, 2024 • 7

Lemoncoke

authored a paper 5 months ago

Ruler: A Model-Agnostic Method to Control Generated Length for Large Language Models

Paper • 2409.18943 • Published Sep 27, 2024 • 29

Lemoncoke

authored 5 papers 6 months ago

Marathon: A Race Through the Realm of Long Context with Large Language Models

Paper • 2312.09542 • Published Dec 15, 2023 • 1

One Shot Learning as Instruction Data Prospector for Large Language Models

Paper • 2312.10302 • Published Dec 16, 2023 • 3

DEEM: Diffusion Models Serve as the Eyes of Large Language Models for Image Perception

Paper • 2405.15232 • Published May 24, 2024 • 2

Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA

Paper • 2406.17419 • Published Jun 25, 2024 • 17

Qwen2.5-Coder Technical Report

Paper • 2409.12186 • Published Sep 18, 2024 • 141

lzchen2001

authored a paper 6 months ago

MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct

Paper • 2409.05840 • Published Sep 9, 2024 • 48

Wa2erGo

authored a paper 6 months ago

MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct

Paper • 2409.05840 • Published Sep 9, 2024 • 48

Wa2erGo

authored 4 papers 7 months ago

PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts

Paper • 2305.14839 • Published May 24, 2023 • 1

Marathon: A Race Through the Realm of Long Context with Large Language Models

Paper • 2312.09542 • Published Dec 15, 2023 • 1

One Shot Learning as Instruction Data Prospector for Large Language Models

Paper • 2312.10302 • Published Dec 16, 2023 • 3

Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language Models

Paper • 2405.17915 • Published May 28, 2024 • 2

CodeScience

AI & ML interests

CodeScience's activity

OpenOmni: Large Language Models Pivot Zero-shot Omnimodal Alignment across Language with Real-time Self-Aware Emotional Speech Synthesis

Evaluating and Aligning CodeLLMs on Human Preference

Single-Cell Omics Arena: A Benchmark Study for Large Language Models on Cell Type Annotation Using Single-Cell Data

ExecRepoBench: Multi-level Executable Code Completion Evaluation

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey

Ruler: A Model-Agnostic Method to Control Generated Length for Large Language Models

Selecting Influential Samples for Long Context Alignment via Homologous Models' Guidance and Contextual Awareness Measurement

Ruler: A Model-Agnostic Method to Control Generated Length for Large Language Models

Marathon: A Race Through the Realm of Long Context with Large Language Models

One Shot Learning as Instruction Data Prospector for Large Language Models

DEEM: Diffusion Models Serve as the Eyes of Large Language Models for Image Perception

Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA

Qwen2.5-Coder Technical Report

MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct

MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct

PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts

Marathon: A Race Through the Realm of Long Context with Large Language Models

One Shot Learning as Instruction Data Prospector for Large Language Models

Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language Models

AI & ML interests

Team members 5

CodeScience's activity