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USA-LA-METAIRIE Azienda Directories
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Azienda News:
- [Thread] A US paper shows the best frontier LLM models solve . . .
Rohan Paul @rohanpaul_ai: [Thread] A US paper shows the best frontier LLM models solve 0% of hard coding problems from Codeforces, ICPC, and IOI, domains where expert humans still excel — This is really BAD news of LLM's coding skill ☹️ The best Frontier LLM models achieve 0% on hard real-life Programming Contest problems, domains where expert humans still excel
- @rohanpaul_ai: This is really BAD news of LLM. . .
The best Frontier LLM models achieve 0% on hard real-life Programming Contest problems, domains where expert humans still excel LiveCodeBench Pro, a benchmark composed of problems from Codeforces, ICPC, and IOI (“International Olympiad in Informatics”) that are continuously updated to reduce the likelihood of data contamination
- Shocking Move: LLMs Are Now Legal in ICPC World . . . - Codeforces
Codeforces Programming competitions and contests, programming community Oh, hi there, ICPC superstars! Today we got the news that ICPC Challenge will be based on LLMs
- 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
- New benchmark reveals AI coding limitations despite industry . . .
LiveCodeBench Pro contains 584 high-quality problems collected in real-time from premier contests including Codeforces, ICPC, and IOI before solutions appear online Each problem receives annotation from competitive programming experts and international olympiad medalists who categorize problems by algorithmic skills and cognitive focus
- [2506. 04894] ICPC-Eval: Probing the Frontiers of LLM . . .
To address these challenges, we propose \textbf{ICPC-Eval}, a top-level competitive coding benchmark designed to probing the frontiers of LLM reasoning ICPC-Eval includes 118 carefully curated problems from 11 recent ICPC contests held in various regions of the world, offering three key contributions: 1) A challenging realistic ICPC
- LLM-ProS: Analyzing Large Language Models’ Performance in . . .
The rapid advancement of large language models has opened new avenues for automating complex problem-solving tasks such as algorithmic coding and competitive programming This paper introduces a novel evaluation technique, LLM-ProS, to assess the performance of state-of-the-art LLMs on International Collegiate Programming Contest (ICPC) problems Using a curated dataset of 166 World Finals
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