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KABI

dongguanting

https://dongguanting.github.io/

AI & ML interests

Information Extration and Retrieval / Alignment for Large Language Models

Recent Activity

upvoted a paper 19 days ago

HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems

updated a dataset 24 days ago

dongguanting/RAG-QA-40K

updated a dataset 24 days ago

dongguanting/ShareGPT-12K

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Organizations

dongguanting's activity

commented a paper 25 days ago

CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation

Paper • 2410.23090 • Published 26 days ago • 53 •

commented 2 papers about 1 month ago

Toward General Instruction-Following Alignment for Retrieval-Augmented Generation

Paper • 2410.09584 • Published Oct 12 • 45 •

Toward General Instruction-Following Alignment for Retrieval-Augmented Generation

Paper • 2410.09584 • Published Oct 12 • 45 •

commented a paper about 2 months ago

MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making

Paper • 2409.16686 • Published Sep 25 • 8 •

New activity in dongguanting/ShareGPT-12K 2 months ago

Librarian Bot: Add language metadata for dataset

#2 opened 3 months ago by

librarian-bot

New activity in dongguanting/RAG-QA-40K 2 months ago

Librarian Bot: Add language metadata for dataset

#1 opened 3 months ago by

librarian-bot

commented 2 papers 3 months ago

How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data

Paper • 2409.03810 • Published Sep 5 • 30 •

How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data

Paper • 2409.03810 • Published Sep 5 • 30 •

New activity in We-Math/We-Math 3 months ago

add link

#3 opened 3 months ago by

dongguanting

commented a paper 3 months ago

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?

Paper • 2407.01284 • Published Jul 1 • 75 •

commented 10 papers 5 months ago

DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning

Paper • 2407.04078 • Published Jul 4 • 16 •

DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning

Paper • 2407.04078 • Published Jul 4 • 16 •

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?

Paper • 2407.01284 • Published Jul 1 • 75 •

Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation

Paper • 2406.18676 • Published Jun 26 • 5 •

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?

Paper • 2407.01284 • Published Jul 1 • 75 •

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?

Paper • 2407.01284 • Published Jul 1 • 75 •

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?

Paper • 2407.01284 • Published Jul 1 • 75 •

Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation

Paper • 2406.18676 • Published Jun 26 • 5 •

Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models

Paper • 2406.13542 • Published Jun 19 • 16 •

Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation

Paper • 2406.18676 • Published Jun 26 • 5 •