Menglong Yao

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authored 7 papers about 12 hours ago

How Do Large Language Models Learn Concepts During Continual Pre-Training?

Paper • 2601.03570 • Published 8 days ago • 2

Federated Learning via Input-Output Collaborative Distillation

Paper • 2312.14478 • Published Dec 22, 2023

End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models

Paper • 2205.12487 • Published May 25, 2022

AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes

Paper • 2305.14725 • Published May 24, 2023

A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models

Paper • 2502.17516 • Published Feb 22, 2025

Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions

Paper • 2505.04651 • Published May 6, 2025

Error-driven Data-efficient Large Multimodal Model Tuning

Paper • 2412.15652 • Published Dec 20, 2024

commented a paper about 23 hours ago

How Do Large Language Models Learn Concepts During Continual Pre-Training?

Paper • 2601.03570 • Published 8 days ago • 2 •

3

upvoted a paper about 23 hours ago

How Do Large Language Models Learn Concepts During Continual Pre-Training?

Paper • 2601.03570 • Published 8 days ago • 2

upvoted a paper 6 months ago

Perception-Aware Policy Optimization for Multimodal Reasoning

Paper • 2507.06448 • Published Jul 8, 2025 • 47

upvoted 2 papers 7 months ago

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation

Paper • 2506.06962 • Published Jun 8, 2025 • 28

LaTtE-Flow: Layerwise Timestep-Expert Flow-based Transformer

Paper • 2506.06952 • Published Jun 8, 2025 • 9

upvoted a paper 9 months ago

Toward Evaluative Thinking: Meta Policy Optimization with Evolving Reward Models

Paper • 2504.20157 • Published Apr 28, 2025 • 37