687 articles tagged with Benchmark
OMCBench is a benchmark suite for evaluating malicious-code detection capabilities. The benchmark consists of a labeled set of 800 Python and JavaScript packages: 400 benign and 40...
Fresh research on religious bias in AI models is a reminder that faith and worldview are product-quality concerns, not edge cases. Here is how builders can evaluate for context-sen...
If you’re building AI-assisted 3D or CAD-like workflows, benchmark scores only get you so far. The real work is designing evals around your product contract and catching geometry f...
Large language model (LLM) agents are increasingly used to assist with operations research (OR) modeling, yet existing OR-oriented benchmarks often reduce evaluation to one-shot tr...
The rapid growth in submissions to machine learning venues has strained the scientific peer-review system and intensified interest in LLM-based automated peer reviewers. However, h...
DeepSWE: A contamination-free benchmark for long-horizon coding agentshttps://deepswe.datacurve.ai/blog#HackerNews #Tech #AI
Kiran Gopal also appreciated the Ratan Tata Innovation Hub for extending technological and financial support to healthcare startups and innovators.
AI обнулил benchmark и пытался шантажировать инженера. И почему это решаемоТоповые AI-модели с 95% на SWE-bench показывают 0% и 3% на ProgramBench бенчмарке, где задачи специально ...
Fraunhofer IPA offers new test benchmark for humanoids. Via @therobotreport #AI #ArtificialIntelligence 💻 🧠 #Robotics 🤖Fraunhofer IPA offers new test...
Look, let me spill the beans right up front: I'm obsessed with saving money. Not in a cheap-skate...
A Python library with weighted 0.0-1.0 scoring rubrics for LLM outputs. No LLM needed to run the rubrics.
El lado del mal - ExploitBench: Un benchmark para medir las capacidades de Agentes IA en la explotación de bugs https://www.elladodelmal.com/2026/05/exploitbench-un-benchmark-para-...
Interactive world models are advancing rapidly, yet existing benchmarks cover only part of the required competencies, leaving no unified standard for systematic evaluation. To fill...
Reproducible benchmark for adversarial attacks on multimodal large language models
tl;dr — Agents are good at small fixes and terrible at "make this algorithm better" because every...
🧠 Meta releases a leaderboard system called Claudeonomics that ranks AI models based on performance metrics. The tool provides comparative data on how different AI systems perform ...
Multimodal Gemma 4 Visual Regression & Patch Agent devchallenge gemmachallenge gemma ai Gemma...
China’s New AI Shocks The World: Hits Top 10 Globally OvernightA sudden disruption on the global leaderboard. A newly deployed foundational model originating from China has breache...
Spatial-VQA-Bench: a focused benchmark of spatial visual reasoning for multimodal LLMs.
Benchmark for LLM-based ASR n-best rescoring (ngram, neural-LM, MLM-PLL, LLM-prompt strategies).
Artificial Analysis (@ArtificialAnlys)Cartesia의 Sonic-3.5가 Artificial Analysis Speech Arena Leaderboard에서 1위를 차지해 Inworld Realtime TTS 1.5 Max와 Google Gemini 3.1 Flash TTS를 제쳤습니다. ...
📜 Latest Top Story on #HackerNews: Antigravity 2.0 Tops the OpenSCAD Architectural 3D LLM Benchmark🔍 Original Story: https://modelrift.com/blog/openscad-llm-benchmark/👤 Author: jet...
LLM-as-judge has become the dominant pattern for evaluating language model outputs. Tools like...
📜 Latest Top Story on #HackerNews: Antigravity 2.0 Tops the OpenSCAD Architectural 3D LLM Benchmark🔍 Original Story: https://modelrift.com/blog/openscad-llm-benchmark/👤 Author: jet...