|
2026 |
AMA-Bench: Evaluating Long-Horizon Memory for Agentic Applications |
Zhao et al. |
arXiv |
|
2026 |
ARC-AGI-3 |
Foundation |
|
|
2026 |
BizAgentBench: Unveiling Hidden Challenges in Deploying Long-Horizon Agents for Real-World Business |
Zhao et al. |
arXiv |
|
2026 |
Company Knowledge Bench |
Kapa.ai |
|
|
2026 |
DeepPlanning: Benchmarking Long-Horizon Agentic Planning with Verifiable Constraints |
Zhang et al. |
arXiv |
|
2026 |
Digital Work Index |
AI |
|
|
2026 |
MBABench 2.0 leaderboard |
AI |
|
|
2026 |
SnorkelFinance 2.0 leaderboard |
AI |
|
|
2026 |
SnorkelLegal leaderboard |
AI |
|
|
2026 |
SnorkelManufacturing leaderboard |
AI |
|
|
2026 |
SnorkelRevOps leaderboard |
AI |
|
|
2026 |
SnorkelUnderwrite 2.0 leaderboard |
AI |
|
|
2026 |
WorkplaceAgents leaderboard |
AI |
|
|
2025 |
AgentBench: Evaluating LLMs as Agents |
Liu et al. |
arXiv |
|
2025 |
AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments |
Schmidgall et al. |
arXiv |
|
2025 |
ARE: Scaling Up Agent Environments and Evaluations |
Froger et al. |
arXiv |
|
2025 |
BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games |
Paglieri et al. |
arXiv |
|
2025 |
CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments |
Huang et al. |
arXiv |
|
2025 |
Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making |
Li et al. |
arXiv |
|
2025 |
EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents |
Yang et al. |
arXiv |
|
2025 |
Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks |
Bigeard et al. |
arXiv |
|
2025 |
GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks |
Patwardhan et al. |
arXiv |
|
2025 |
GDPval: measuring the performance of our models on real-world tasks |
OpenAI |
|
|
2025 |
MedAgentBench: A Realistic Virtual EHR Environment to Benchmark Medical LLM Agents |
Jiang et al. |
arXiv |
|
2025 |
Remote Labor Index |
CAIS |
|
|
2025 |
Remote Labor Index: Measuring AI Automation of Remote Work |
Mazeika et al. |
arXiv |
|
2025 |
TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks |
Xu et al. |
arXiv |
|
2025 |
Vending-Bench 2 |
Labs |
|
|
2025 |
Vending-Bench: A Benchmark for Long-Term Coherence of Autonomous Agents |
Backlund, Petersson |
arXiv |
|
2024 |
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents |
Ma et al. |
arXiv |
|
2024 |
BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation |
Li et al. |
arXiv |
|
2024 |
OfficeBench: Benchmarking Language Agents across Multiple Applications for Office Automation |
Wang et al. |
arXiv |
|
2024 |
TravelPlanner: A Benchmark for Real-World Planning with Language Agents |
Xie et al. |
arXiv |
|
2023 |
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning |
Liu et al. |
arXiv |
|
2022 |
Benchmarking the Spectrum of Agent Capabilities |
Hafner |
arXiv |
|
2022 |
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge |
Fan et al. |
arXiv |
|
2021 |
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning |
Shridhar et al. |
arXiv |
|
2020 |
The NetHack Learning Environment |
Küttler et al. |
arXiv |
|
2019 |
TextWorld: A Learning Environment for Text-based Games |
Côté et al. |
arXiv |