Tag: LLM evaluation
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Inclusion-of-Thoughts: Stabilizing LLM Decisions by Filtering
Improve large language model accuracy by mitigating preference instability with Inclusion-of-Thoughts, a method that filters distractors in decision-making...
LudoBench: Benchmarking LLM Strategic Decision-Making in Ludo
LudoBench evaluates large language models' strategic reasoning using 480 spot-based Ludo scenarios, revealing key insights into AI decision-making behavior...
How Source Labels Bias Trust in Humans and LLM Judges
Explore how source labels influence trust assessments by humans and large language models, revealing shared biases and the need for debiased evaluations.
Market-Bench: Benchmarking LLMs in Economic Trade
Discover Market-Bench, a benchmark evaluating large language models on economic and trade competition through multi-agent supply chain simulations.
AI-Driven Generation of Challenging Math Problems for LLMs
Discover an AI-powered method to create hard math problems targeting LLM weaknesses, improving benchmark accuracy and scalability in math skill testing.