Tag: AI language models
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Bayesian Social Deduction Using Graph-Based Language Models
Discover how Bayesian social deduction with graph-informed language models improves AI social reasoning and outperforms humans in complex games.
RecaLLM: Enhancing Long-Context AI with In-Context Retrieval
Discover how RecaLLM tackles the lost-in-thought issue by combining reasoning with explicit in-context retrieval for superior long-context AI performance.
Litmus (Re)Agent: Benchmark for Multilingual Model Evaluation
Discover Litmus (Re)Agent, a benchmark system for predictive evaluation of multilingual AI models, enhancing performance across diverse languages and tasks...
Evaluating Cultural Alignment of LLMs via Multilingual Morals
Explore how large language models generate culturally aligned story morals across 14 languages, revealing strengths and gaps in cultural sensitivity.
Benchmarking Humor Alignment in Large Language Models
Explore how large language models align with human humor using Cards Against Humanity to benchmark AI humor preferences and biases.