MM-Pod (MM-Pod)

dododododo

authored 3 papers 2 months ago

Aligning Instruction Tuning with Pre-training

Paper • 2501.09368 • Published Jan 16

Distillation Quantification for Large Language Models

Paper • 2501.12619 • Published Jan 22

COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values

Paper • 2504.05535 • Published Apr 7 • 44

aaabiao

authored a paper 2 months ago

COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values

Paper • 2504.05535 • Published Apr 7 • 44

yuexiang96

authored a paper 2 months ago

ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations

Paper • 2504.00824 • Published Apr 1 • 43

dododododo

authored a paper 3 months ago

YuE: Scaling Open Foundation Models for Long-Form Music Generation

Paper • 2503.08638 • Published Mar 11 • 66

dododododo

authored a paper 4 months ago

SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines

Paper • 2502.14739 • Published Feb 20 • 103

aaabiao

authored 2 papers 4 months ago

SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines

Paper • 2502.14739 • Published Feb 20 • 103

Steel-LLM:From Scratch to Open Source -- A Personal Journey in Building a Chinese-Centric LLM

Paper • 2502.06635 • Published Feb 10 • 5

yuexiang96

authored 2 papers 4 months ago

Demystifying Long Chain-of-Thought Reasoning in LLMs

Paper • 2502.03373 • Published Feb 5 • 59

Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate

Paper • 2501.17703 • Published Jan 29 • 59

yuexiang96

authored a paper 5 months ago

Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos

Paper • 2501.13826 • Published Jan 23 • 26

yuexiang96

authored 4 papers 6 months ago

JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation

Paper • 2410.17250 • Published Oct 22, 2024 • 15

aaabiao

authored a paper 6 months ago

MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale

Paper • 2412.05237 • Published Dec 6, 2024 • 48

yuexiang96

authored 2 papers 6 months ago

MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale

Paper • 2412.05237 • Published Dec 6, 2024 • 48

Evaluating Language Models as Synthetic Data Generators

Paper • 2412.03679 • Published Dec 4, 2024 • 49

dododododo

authored a paper 7 months ago

OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision

Paper • 2411.07199 • Published Nov 11, 2024 • 50

MM-Pod

AI & ML interests

MM-Pod's activity

Aligning Instruction Tuning with Pre-training

Distillation Quantification for Large Language Models

COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values

COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values

ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations

YuE: Scaling Open Foundation Models for Long-Form Music Generation

SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines

SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines

Steel-LLM:From Scratch to Open Source -- A Personal Journey in Building a Chinese-Centric LLM

Demystifying Long Chain-of-Thought Reasoning in LLMs

Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate

Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos

JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation

Long Context Alignment with Short Instructions and Synthesized Positions

LIME: Less Is More for MLLM Evaluation

Machine Unlearning of Pre-trained Large Language Models

MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale

MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale

Evaluating Language Models as Synthetic Data Generators

OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision

AI & ML interests

Team members 4

MM-Pod's activity