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chenghao xiao

gowitheflow

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upvoted a collection about 14 hours ago

Evaluation Suite for Hallucination of Multilingual LLMs

updated a dataset 1 day ago

SeaLLMs/TrueFalse-Statements-multilingual

updated a dataset 10 days ago

SeaLLMs/FreshQA-multilingual-augmented

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gowitheflow's activity

upvoted a collection about 14 hours ago

Evaluation Suite for Hallucination of Multilingual LLMs

Collection

Datasets for the paper "Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations" • 4 items • Updated about 17 hours ago • 2

updated a dataset 1 day ago

SeaLLMs/TrueFalse-Statements-multilingual

Viewer • Updated 1 day ago • 48.7k • 39

updated a dataset 10 days ago

SeaLLMs/FreshQA-multilingual-augmented

Viewer • Updated 10 days ago • 1.2k • 68

published a dataset 10 days ago

SeaLLMs/FreshQA-multilingual-augmented

Viewer • Updated 10 days ago • 1.2k • 68

updated a dataset 10 days ago

SeaLLMs/SeaRefuse-test

Viewer • Updated 10 days ago • 11.9k • 77

published a dataset 10 days ago

SeaLLMs/SeaRefuse-test

Viewer • Updated 10 days ago • 11.9k • 77

updated 2 datasets 28 days ago

BioLaySumm/BioLaySumm2025-LaymanRRG-opensource-track

Viewer • Updated 28 days ago • 171k • 375

BioLaySumm/LaymanRRG-closesource-track

Viewer • Updated 28 days ago • 221k • 274

liked a model about 1 month ago

kou199024/Inverse-Qwen2.5-7B-BlackBox

Text Generation • Updated May 6 • 40 • 5

authored a paper about 1 month ago

Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts

Paper • 2504.21117 • Published Apr 29 • 25

upvoted a paper about 1 month ago

Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts

Paper • 2504.21117 • Published Apr 29 • 25

commented a paper about 1 month ago

Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts

Paper • 2504.21117 • Published Apr 29 • 25 •

published a dataset about 1 month ago

SeaLLMs/TrueFalse-Statements-multilingual

Viewer • Updated 1 day ago • 48.7k • 39

upvoted an article about 1 month ago

Article

MIEB: The Benchmark That Stress-Tests Image-Text Embeddings Like Never Before

and 2 others •

Apr 24

• 14

reacted to merterbak's post with 🚀👀🔥 about 1 month ago

Post

2133

Here’s a cool paper I found: “Massive Image Embedding Benchmark (MIEB).” It is a new tool to test how good image embedding models are. It has 130 different tasks grouped into 8 categories, like image search, classification, clustering similar images, answering questions based on images, and understanding documents. It even covers 38 different languages.

The authors tested 50 models and found that no single model was best at everything. Some models were great at recognizing text inside images but struggled to handle complicated tasks like matching images and text that appear together.

Paper: https://arxiv.org/pdf/2504.10471v1
Code: https://github.com/embeddings-benchmark/mteb

2 replies

authored a paper about 2 months ago

Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations

Paper • 2504.13816 • Published Apr 18 • 17

updated a dataset about 2 months ago

SeaLLMs/FreshQA-multilingual

Viewer • Updated Apr 22 • 599 • 45 • 1

published a dataset about 2 months ago

SeaLLMs/FreshQA-multilingual

Viewer • Updated Apr 22 • 599 • 45 • 1