Tag: frontier large language models
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Olfactory Perception Benchmark for Large Language Models
Discover the Olfactory Perception benchmark to evaluate large language models' ability to reason about smell across multiple tasks and languages.
Optimizer-Aware Online Data Selection for LLM Fine-Tuning
Discover a two-stage optimizer-aware method for online data selection that boosts large language model fine-tuning efficiency and performance.
HippoCamp: Benchmarking AI Agents for PC File Management
Discover HippoCamp, a benchmark evaluating AI agents' contextual reasoning and multimodal file management on personal computers with real-world data.
Adversarial Moral Stress Testing for Ethical AI Models
Discover how Adversarial Moral Stress Testing evaluates ethical robustness of large language models under multi-round adversarial interactions.
Multi Chain-of-Thought Voting for Geometric Reasoning AI
Discover how multi chain-of-thought voting boosts geometric reasoning accuracy in large language models with Python verification and confidence ranking.