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Australia-VIC-DANDENONG Azienda Directories
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Azienda News:
- How Do Olympiad Medalists Judge LLMs in Competitive . . .
A new benchmark assembled by a team of International Olympiad medalists suggests the hype about large language models beating elite human coders is premature LiveCodeBench Pro, unveiled in a 584-problem study [PDF] drawn from Codeforces, ICPC and IOI contests, shows the best frontier model clears j
- LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in . . .
Recent reports claim that large language models (LLMs) now outperform elite humans in competitive programming Drawing on knowledge from a group of medalists in international algorithmic contests, we revisit this claim, examining how LLMs differ from human experts and where limitations still remain
- Proof or Bluff? Evaluating LLMs on 2025 USA Math Olympiad
Recent math benchmarks for large language models (LLMs) such as MathArena indicate that state-of-the-art reasoning models achieve impressive performance on mathematical competitions like AIME, with the leading model, Gemini-2 5-Pro, achieving scores comparable to top human competitors
- Competitive Programming with Large Reasoning Models
We show that reinforcement learning applied to large language models (LLMs) significantly boosts performance on complex coding and reasoning tasks
- LiveCodeBench Pro: Benchmarking LLMs in Competitive Programming
Explore LiveCodeBench Pro, a contamination-resistant benchmark leveraging expert evaluation and real-time data curation to assess LLM performance on competitive programming challenges
- AI on Trial: Harnessing LLMs as Judges(Redefining AI . . . - Medium
In the rapidly evolving landscape of large language models (LLMs), establishing robust evaluation methodologies is essential In this post, I explore a multi-faceted rating framework that
- Examining Knowledge in Large Language Models - Simple Science
The study found that the LLMs performed very well when it came to the Medal QA task They were able to accurately report the number of medals won by various teams For instance, when asked about the medal count for a specific country, many of the models provided correct answers, showing that they have a strong ability to recall numerical data
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