MIRAGE-Bench: An Automatic Multilingual Benchmark for Recovery Augmented Generation Systems
Large language models (LLMs) have emerged as crucial tools for handling complex information search queries due to techniques that improve ...
Tag: benchmark
UCLA and Stanford Researchers Introduce MRAG-Bench: An AI Benchmark Designed Specifically for Vision-Centric Assessment for Multimodal Augmented Recovery Models
Current multimodal retrieval-augmented generation (RAG) benchmarks primarily focus on textual knowledge retrieval for question answering, which has significant limitations. In ...
OpenAI researchers introduce MLE-bench: a new benchmark for measuring the performance of AI agents in machine learning engineering
Machine learning (ML) models have shown promising results in various coding tasks, but there remains a gap in effectively benchmarking ...
ACPBench from IBM researchers: an AI benchmark for evaluating reasoning tasks in the field of planning
LLMs are gaining traction as workforces across domains explore artificial intelligence and automation to plan their operations and make crucial ...
Compositional GSM: A New AI Benchmark for Assessing the Reasoning Capabilities of Large Language Models in Multi-Step Problems
Natural language processing (NLP) has seen rapid advances, and large language models (LLMs) are used to address various challenging problems. ...
Allen Institute for AI Researchers proposes SUPER: a benchmark to assess LLMs' ability to set up and execute research experiments
artificial intelligence (ai) and machine learning (ML) have been transformative in numerous fields, but a significant challenge remains in reproducibility ...
ClimDetect: A new benchmark dataset for testing AI models in detecting climate change signals
Detecting and attributing temperature increases due to climate change is vital to addressing global warming and designing adaptation strategies. Traditional ...
Blockchain oracle RedStone reveals first on-chain benchmark for Ethereum staking returns
Key points RedStone introduces Ether staking rate compounded for ethereum staking returns. The benchmark captures all relevant rewards for validators ...
OpenFGL: A Comprehensive Benchmark for Advancing Federated Graph Learning
Graph neural networks (GNNs) have emerged as powerful tools for capturing complex interactions in real-world entities and finding applications across ...
MuMA-ToM: A multimodal benchmark for advancing multi-agent mind-theoretic reasoning in AI
To understand social interactions in complex, real-world environments, deep mental reasoning is necessary to infer the underlying mental states that ...
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