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a benchmark platform designed for evaluating large language models (LLMs) on a range of tasks, particularly focusing on their performance in different aspects such as natural language understanding, reasoning, and generalization.

a Swedish language understanding benchmark that evaluates natural language processing (NLP) models on various tasks such as argumentation analysis, semantic similarity, and textual entailment.

a large-scale Document Visual Question Answering (VQA) dataset designed for complex document understanding, particularly in financial reports.

a large-scale question-answering benchmark focused on real-world financial data, integrating both tabular and textual information.

a benchmark designed to assess the performance of multimodal web agents on realistic visually grounded tasks.

a benchmark that evaluates large multimodal models (LMMs) on their ability to perform human-like mathematical reasoning.

a benchmark dataset testing AI's ability to reason about visual commonsense through images that defy normal expectations.

LLM application: DeepSeek-Math-7B

LLM application: DeepSeek-Coder-1.3|6.7|7|33B

LLM application: DeepSeek-VL-1.3|7B

LLM application: DeepSeek-MoE-16B

LLM application: DeepSeek-Coder-v2-16|236B-MOE

LLM application: DeepSeek-V2.5

LLM application: Qwen-1.8B|7B|14B|72B

LLM application: Qwen1.5-0.5B|1.8B|4B|7B|14B|32B|72B|110B|MoE-A2.7B

LLM application: Qwen2-0.5B|1.5B|7B|57B-A14B-MoE|72B

LLM application: Qwen2.5-0.5B|1.5B|3B|7B|14B|32B|72B

LLM application: CodeQwen1.5-7B

LLM application: Qwen2.5-Coder-1.5B|7B|32B

LLM application: Qwen2-Math-1.5B|7B|72B