TUA-Bench: A Benchmark for General-Purpose Terminal-Use Agents
As large language models and harness frameworks continue to advance, agents operating in terminals are increasingly capable of performing a broader range of general computer-use ta...
#Benchmark
589 articles tagged with Benchmark
Video-MME-Logical: A Controlled Diagnostic Benchmark for Video Temporal-Logical Reasoning
Recent interest in multimodal large language models (MLLMs) raises a central question: can they reason over dynamic visual evidence rather than merely recognize objects or events i...
How do you build an expert-grade research QA benchmark without hand-authoring a single question?Mine the survey articles...
How do you build an expert-grade research QA benchmark without hand-authoring a single question?Mine the survey articles. Their section structure already encodes what a field asks ...
Ko-WideSearch: A Korean Breadth-Search Benchmark for Exhaustive Set Enumeration by Web Agents
Web-agent benchmarks overwhelmingly measure depth -- pinning one obscure answer behind a chain of constraints -- while breadth, exhaustively enumerating a closed set and filling ea...
【FFASRリーダーボードのご紹介：実世界におけるASRのベンチマーク】https://huggingface.co/blog/ffasr-leaderboard※AI生成の自動投稿（見出し＋リンク）#AI #生成AI #LLM #AIGe...
【FFASRリーダーボードのご紹介：実世界におけるASRのベンチマーク】https://huggingface.co/blog/ffasr-leaderboard※AI生成の自動投稿（見出し＋リンク）#AI #生成AI #LLM #AIGenerated
Stratagems #1: Mark Johnson Walked Into an AI Audit. The Benchmark Had Everything Figured Out — Except the Truth.
Complete preparation breeds complacency. What is seen every day no longer raises suspicion. The...
My eval harness paid for itself on the first run: 0.57 0.96, two bugs no unit test could catch
I almost shipped a RAG pipeline that, on certain questions, cited exactly the right document — and...
Zorgm Pro achieves 98.5% on NEET PG benchmark with source
Mumbai (Maharashtra) [India], June 24: In a major breakthrough for clinical artificial intelligence, the LaennecAI Clinical Research Team announced today that Zorgm Pro, an educati...
The Galaxy's Guide to the Tokenizer: A Benchmark for Scientific Foundation Models
Tokenization is central to adapting scientific data for transformer-based foundation models, yet its impact on learned representations remains poorly understood. We compare four to...
🧠 Researchers have developed the first benchmark for measuring AI performance in marketing tasks. The benchmark enables ...
🧠 Researchers have developed the first benchmark for measuring AI performance in marketing tasks. The benchmark enables systematic evaluation of how well AI systems handle marketin...
Eval-Driven Agent Development: How I Stopped Tuning Prompts on Vibes
Series context: This is a follow-up to How I Automate Parts of My SDLC with AI Agents. Earlier posts...
An AI Feature Has No "Tests Pass" Moment. So I Write the Eval First.
I was building an "Ask This Book" feature: readers can ask questions about a book while they're...
Emmimal/context-graph-benchmark: A pure-Python structured memory benchmark for multi-agent LLM systems — context graph vs vector RAG vs raw history dump, five scenarios, 18 graded queries, zero API calls.
A pure-Python structured memory benchmark for multi-agent LLM systems — context graph vs vector RAG vs raw history dump, five scenarios, 18 graded queries, zero API calls.
I built a Rust entropy monitor to route LLM inference — here's what the benchmark showed
Frontier LLM inference is expensive. I wanted to see how far a 4B local model could go before needing...
🧠 #GLM 5.2 ha raggiunto il 44% di pass@1 su #DeepSWE, diventando il primo modello open-source nella leaderboard.👉 I dett...
🧠 #GLM 5.2 ha raggiunto il 44% di pass@1 su #DeepSWE, diventando il primo modello open-source nella leaderboard.👉 I dettagli: https://www.linkedin.com/posts/alessiopomaro_glm-deeps...
Are Text-to-Image Models Inductivist Turkeys? A Counterfactual Benchmark for Causal Reasoning
Text-to-image (T2I) generation models have achieved remarkable progress in producing visually realistic images from natural language prompts. Yet it remains unclear whether their s...
AGORA: An Archive-Grounded Benchmark for Agentic Workplace Document Reasoning
Large language models are increasingly deployed as agents that reason over documents rather than answer from parametric knowledge. We study archive-grounded reasoning: locating spa...
Why eval startups fail (2025)
Why eval startups fail (2025)
RELEASE!!! Red Team AI Benchmark v2.0: From 12 Questions to 60 — A Technical Deep Dive - A major evolution in LLM offens...
RELEASE!!! Red Team AI Benchmark v2.0: From 12 Questions to 60 — A Technical Deep Dive - A major evolution in LLM offensive-security evaluation, built in collaboration with POXEK A...
Red Team AI Benchmark v2.0: From 12 Questions to 60 — A Technical Deep Dive
A major evolution in LLM offensive-security evaluation, built in collaboration with POXEK...
HAKARI-Bench: A Lightweight Benchmark for Comparing Retrieval Architectures and Efficiency Settings under Unified Conditions
With the rapid spread of retrieval-augmented generation and semantic search, choosing the right embedding and retrieval configuration is increasingly hard. Large retrieval benchmar...
📢 Benchmark CTI : Fable 5 d'Anthropic jugé contre-productif pour les défenseurs cyber📝 ## 🔍 ContextePublié le 17 juin 20...
📢 Benchmark CTI : Fable 5 d'Anthropic jugé contre-productif pour les défenseurs cyber📝 ## 🔍 ContextePublié le 17 juin 2026 par Graphistry sur leur blog officiel, cet article consti...