Tag: AI evaluation
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SRBench: Benchmarking Sequential Recommendations with LLMs
Discover SRBench, a new framework for comprehensive benchmarking of sequential recommendation models using large language models for fair and accurate eval...
UniToolCall: Standardizing Tool-Use for LLM Agents
UniToolCall unifies tool-use representation, data, and evaluation to boost LLM agents' performance with over 22K tools and diverse interaction patterns.
PaperScope: Benchmark for Multi-Modal Scientific Research AI
Discover PaperScope, a multi-modal multi-document benchmark to evaluate AI-driven deep scientific research across thousands of papers effectively.
TorchUMM: Unified Codebase for Multimodal Model Evaluation
Discover TorchUMM, the unified codebase for evaluating, analyzing, and post-training diverse multimodal AI models across visual and textual data.
VeriSim: Testing Medical AI with Realistic Patient Noise
VeriSim offers a configurable framework to evaluate medical AI under realistic patient noise, improving clinical robustness and decision-making accuracy.