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dongguanting

https://dongguanting.github.io/

AI & ML interests

Reasoning and Alignment for Large Language Models

Recent Activity

upvoted a paper 1 day ago

B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

authored a paper 5 days ago

Progressive Multimodal Reasoning via Active Retrieval

upvoted a paper 5 days ago

Progressive Multimodal Reasoning via Active Retrieval

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dongguanting's activity

commented a paper 6 days ago

Progressive Multimodal Reasoning via Active Retrieval

Paper • 2412.14835 • Published 6 days ago • 66 •

commented 2 papers 9 days ago

Smaller Language Models Are Better Instruction Evolvers

Paper • 2412.11231 • Published 10 days ago • 24 •

RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation

Paper • 2412.11919 • Published 9 days ago • 33 •

commented a paper about 2 months ago

CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation

Paper • 2410.23090 • Published Oct 30 • 54 •

commented 2 papers 2 months ago

Toward General Instruction-Following Alignment for Retrieval-Augmented Generation

Paper • 2410.09584 • Published Oct 12 • 47 •

Toward General Instruction-Following Alignment for Retrieval-Augmented Generation

Paper • 2410.09584 • Published Oct 12 • 47 •

commented a paper 3 months ago

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

Paper • 2409.16686 • Published Sep 25 • 9 •

New activity in dongguanting/ShareGPT-12K 3 months ago

Librarian Bot: Add language metadata for dataset

#2 opened 4 months ago by

librarian-bot

New activity in dongguanting/RAG-QA-40K 3 months ago

Librarian Bot: Add language metadata for dataset

#1 opened 4 months ago by

librarian-bot

commented 2 papers 4 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 4 months ago

add link

#3 opened 4 months ago by

dongguanting

commented a paper 4 months ago

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

Paper • 2407.01284 • Published Jul 1 • 75 •

commented 7 papers 6 months ago

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

Paper • 2407.04078 • Published Jul 4 • 17 •

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

Paper • 2407.04078 • Published Jul 4 • 17 •

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 • 6 •

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 •