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1659 articles tagged with Benchmark

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Mastodon discussion Oct 20

A passing agent eval can prove the wrong thing.Your agent may retrieve answers from the host machine.Do you review full ...

A passing agent eval can prove the wrong thing.Your agent may retrieve answers from the host machine.Do you review full trajectories before trusting a pass?#Bytecut #AI #AIAgents

Benchmark
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Mastodon discussion Oct 20

📊 DeepSeek V3.2 (Reasoning) — the actual numbers GPQA: 84% MMLU-Pro: 86.2% Humanity's Last Exam: 24.6% Long Context Reas...

📊 DeepSeek V3.2 (Reasoning) — the actual numbers GPQA: 84% MMLU-Pro: 86.2% Humanity's Last Exam: 24.6% Long Context Reasoning: 73.3%💰 68.3 intelligence points per dollarMeasured in...

Benchmark
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AI Blogs (RSS) news Oct 20

ALTK-Evolve: How learned memory tops the τ²-bench leaderboard on customer service tasks without a frontier model

Benchmark
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Dev.to tutorial Oct 20

Qwen3.8-Flash-Next vs Claude Opus 5.5: Six-way benchmark on a real Rust feature

A controlled comparison of Qwen3.8-Flash-Next and Claude Opus 5.5 on one LlamaStash feature, across Claude Code and Pi, at medium and xhigh effort

Anthropic Benchmark
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Mastodon discussion Oct 20

The OR-License benchmark evaluates large language model agents on real-world operations research tasks using original cl...

The OR-License benchmark evaluates large language model agents on real-world operations research tasks using original client materials.Source: arXiv cs.CLhttps://arxiv.org/abs/2610...

LLM Benchmark
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Mastodon discussion Oct 20

The study compares agentic AI systems with REST, SOAP, MCP and native function calls on a benchmark of 1,000 arithmetic ...

The study compares agentic AI systems with REST, SOAP, MCP and native function calls on a benchmark of 1,000 arithmetic expressions.Source: arXivhttps://arxiv.org/abs/2610.23921#Ma...

Agents Benchmark MCP
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Mastodon discussion Oct 20

GardenBench is a new benchmark introduced with 11 test suites that evaluate LLM capabilities across various tasks.Source...

GardenBench is a new benchmark introduced with 11 test suites that evaluate LLM capabilities across various tasks.Source: arXivhttps://arxiv.org/abs/2610.23866#MachineLearning

LLM Benchmark
9
Mastodon discussion Oct 20

Fully Remote | AI Benchmark & Red-Teaming Specialist (Llm)Contract, up to 40 hours weekly with 4 hours overlapping PST. ...

Fully Remote | AI Benchmark & Red-Teaming Specialist (Llm)Contract, up to 40 hours weekly with 4 hours overlapping PST. Pay discussed during screening.✅ Building benchmark tasks th...

LLM Benchmark
9
Mastodon discussion Oct 20

🤖 Yapay Zeka HaberiÇinli Yapay Zeka Firması Hakkında Çarpıcı İddia: Benchmark Sorularını mı Çaldı?MiniMax'in M3.1 Flash ...

🤖 Yapay Zeka HaberiÇinli Yapay Zeka Firması Hakkında Çarpıcı İddia: Benchmark Sorularını mı Çaldı?MiniMax'in M3.1 Flash modelinin benchmark testlerinde hile yaptığı iddia ediliyor....

Benchmark
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Papers with Code paper Oct 20

EvaOmni: An Evidence-Grounded Benchmark for Audio-Visual Reasoning

Omni LLMs can naturally locate key audio and visual evidence and integrate information across modalities for audiovisual reasoning. Existing audio-visual reasoning benchmarks that ...

Benchmark
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Papers with Code paper Oct 20

DecisionPivot: A Diagnostic Benchmark for Decision Models in LLM Systems

Decision models support routing, guardrails, and output verification in LLM systems. However, item accuracy alone cannot establish whether models make correct decisions across cont...

LLM Benchmark
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Papers with Code paper Oct 20

Code2Video-Compass: A Comprehensive Benchmark for General-Purpose Code-Based Video Generation across T2V, I2V, and V2V

Code-based video generation offers fine-grained control, targeted editing, and component reuse compared with direct video generation. This approach requires multimodal large langua...

Benchmark
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Papers with Code paper Oct 20

WORTH Benchmark: Evidence Discovery under Not-Fully-Cooperative Information -- A Two-Episode Pilot

Existing reasoning evaluations typically provide task-relevant information to models as available premises, rarely examining concurrently how models discover evidence autonomously ...

Benchmark
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Mastodon discussion Oct 19

Laya returns choice, score and yes/no answers without generating text. Its own benchmark reports 0.362 accuracy zero-sho...

Laya returns choice, score and yes/no answers without generating text. Its own benchmark reports 0.362 accuracy zero-shot and 0.766 after fine-tuning: https://github.com/NandhaKish...

Benchmark
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Dev.to tutorial Oct 19

MAI-Transcribe-2 Leads David AI’s 21-Language Speech Recognition Benchmark

Microsoft AI’s MAI-Transcribe-2 achieved the lowest transcription error rate in 18 of 21 languages in...

Benchmark
12
Mastodon discussion Oct 19

Final post: "Moondream 3.1 (Moondream) enters the leaderboard withhttps://olud.ai/latest.html#AI #LLM #OpenSource

Final post: "Moondream 3.1 (Moondream) enters the leaderboard withhttps://olud.ai/latest.html#AI #LLM #OpenSource

LLM Open Source Benchmark
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Mastodon discussion Oct 19

🧠 Atlas is a benchmark that evaluates AI agents on search-intensive tasks. The framework assesses how well agents perfor...

🧠 Atlas is a benchmark that evaluates AI agents on search-intensive tasks. The framework assesses how well agents perform when they must retrieve and process information to complet...

Benchmark
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Mastodon discussion Oct 19

Today's game: TightropeEvery day one AI-made browser game goes live for the whole world, with a single leaderboard. Top ...

Today's game: TightropeEvery day one AI-made browser game goes live for the whole world, with a single leaderboard. Top score at midnight UTC is the world champion.World record rig...

Benchmark
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Mastodon discussion Oct 19

RealCLI introduces a benchmark that evaluates both task execution and human-agent collaboration for command-line interfa...

RealCLI introduces a benchmark that evaluates both task execution and human-agent collaboration for command-line interface agents.Source: arXiv cs.CLhttps://arxiv.org/abs/2610.2250...

Benchmark
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Mastodon discussion Oct 19

Moondream 3 Preview (Moondream) lands on the leaderboard with open weights, 32k tokens, and $0.3 in / $2.5 out per 1M. T...

Moondream 3 Preview (Moondream) lands on the leaderboard with open weights, 32k tokens, and $0.3 in / $2.5 out per 1M. That pricing makes open-weight inference genuinely cheap — an...

Benchmark
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Mastodon discussion Oct 19

A benchmark score going up doesn't automatically mean a model "reasons" better. Our guide to reading AI papers criticall...

A benchmark score going up doesn't automatically mean a model "reasons" better. Our guide to reading AI papers critically: pin down what was actually measured, trace the inference ...

Benchmark
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Papers with Code paper Oct 19

DeOverlay: A Benchmark and Source-Anchored Flow for Video Overlay Removal

Video overlay removal aims to recover scenes obscured by subtitles, titles, and logos while preserving surrounding content. Existing methods use temporal propagation or source-cond...

Benchmark
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Papers with Code paper Oct 19

HandsOn: A Large-Scale Simulation Benchmark for Generalizable Dexterous Manipulation

General-purpose manipulation requires reliable behavior across embodiments, objects, and task demands. We introduce HandsOn, a composable simulation platform and benchmark for cros...

OpenAI Benchmark Robotics
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Papers with Code paper Oct 19

RoboValue: A Fine-Grained Sim-and-Real Benchmark for Unified Evaluation of Robotic Value Models

Robotic value models assess task execution from visual observations and instructions, providing feedback for policy learning and execution monitoring. However, existing evaluations...

Benchmark
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