Opus 4.8 tops the LLM leaderboard with 95% on skill evals
We added Claude Opus 4.8 to our ongoing model benchmark. It scored 95% with skill context, which puts...
675 articles tagged with Benchmark
We added Claude Opus 4.8 to our ongoing model benchmark. It scored 95% with skill context, which puts...
General-purpose agents such as OpenClaw are increasingly used as autonomous tool users, but their coding ability is difficult to measure under SWE-bench: a generic agent does not b...
When experts grade LLM answers in their own field, how well do the citations hold up?ExpertQA, a 2024 benchmark, has 484 experts write questions in their specialty, then judge the ...
TL;DR: Our LLM-as-judge agreement (Cohen's kappa against human labels) swung between 0.41 and 0.63...
89% of teams running production AI agents have observability, but only 52% have evals. That gap is where agent quality dies — and closing it is a human-labeled data problem before ...
Combinatorics is central to Olympiad-level mathematical problem solving, requiring deep discrete reasoning, creative constructions, and rigorous structural insight. Recent evidence...
inferbench — download, run & benchmark local LLMsRun and benchmark local LLMs without the setup pain. inferbench is a desktop app that downloads, launches and benchmarks local infe...
10 adversarial scenarios, 64 assertions, 3-tier evaluation pyramid. Llama, Qwen, GPT-OSS — none scored above 63%. Here's what broke them.
We're changing the default solver model in our eval harness from Claude Sonnet 4.6 to GLM 5.1. This...
Vision-language model (VLM) agents are increasingly deployed in interactive game environments. Yet game benchmarks for VLM agents typically report a single first-attempt score per ...
As recommender systems transition toward agentic, multi-turn conversational interfaces, evaluation paradigms have struggled to keep pace. Current benchmarks often rely on "LLM-as-a...
Computer-use agents (CUAs) increasingly operate in runtimes that combine visual desktop control, command-line execution, code editing, browsers, and external tools. Existing benchm...
Recent advancements in video-based world models have demonstrated an unprecedented ability to synthesize high-fidelity visual sequences. However, a fundamental gap persists between...
A useful phone agent needs to be personally intelligent. It should reason over a user's identity, history, and preferences as they exist on the device, not just follow isolated ins...
"Skill Is Not Document: A Query-Conditional Benchmark and Two-Stage Retriever for LLM Agent Skill Routing"Skills used by LLMs require a different retrieval pipeline than the one us...
Estos LLM son los mejores para resistir la propaganda rusaUn benchmark del gobierno de Estonia evaluó decenas de modelos de lenguaje grande para medir su capacidad de contrarrestar...
Arena.ai startet die Agent Arena, einen Benchmark für autonome KI-Agenten basierend auf echten Nutzersitzungen statt künstlichen Tests.Der Test wertet über 330.000 Sitzungen aus, u...
inferbench v0.1.1 🖥️ download, launch & benchmark local LLM engines (llama.cpp & co) from one desktop app. Real tok/s on your own GPU, no cloud, no guesswork. Now serves models + e...
The Benchmark Lied. Here’s What It Didn’t Measure.https://cariagiovannib.wordpress.com/2026/06/07/the-benchmark-lied-heres-what-it-didnt-measure/#AI #AIResearch #llm #mlops #linux ...
Chinese models now account for 61% of global LLM token consumption. DeepSeek, Qwen, GLM, and Doubao...
Every LLM wire format claims token savings. Nobody proves whether AI models can actually comprehend...
Enterprise property graphs vary widely in schema structure, internal terminology, domain assumptions, governance constraints, and user interaction patterns. A deployment-relevant T...
My LLM pipeline passed every eval. Then it started lying to users in production. Not dramatically....
https://winbuzzer.com/2026/06/06/meta-weighs-equity-raise-as-alphabet-sets-ai-benchmark-xcxwbn/A rumored equity raise by Meta is making AI infrastructure funding a dilution test as...