https://arxiv.org/abs/2406.13975v2
Abstract page for arXiv paper 2406.13975v2: MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs
mr benmetareasoningbenchmarkevaluating
https://openreview.net/forum?id=itBDglVylS&referrer=%5Bthe%20profile%20of%20Siddharth%20Garg%5D(%2Fprofile%3Fid%3D~Siddharth_Garg1)
Large Language Models (LLMs) are being deployed across various domains today. However, their capacity to solve Capture the Flag (CTF) challenges in...
open sourcenyuctfbenchscalable
https://simonwillison.net/2025/Nov/24/claude-opus/
Anthropic released Claude Opus 4.5 this morning, which they call “best model in the world for coding, agents, and computer use”. This is their attempt to...
claude opusevaluatingnewllms
https://openreview.net/forum?id=bJCQMKwPVq&referrer=%5Bthe%20profile%20of%20Haohan%20Wang%5D(%2Fprofile%3Fid%3D~Haohan_Wang1)
Existing reasoning evaluation frameworks for Large Language Models (LLMs) and Large Vision-Language Models (LVLMs) predominantly assess either text-based...
evaluatingreasoningcapabilitiesllms
https://arxiv.org/abs/2410.15939
Abstract page for arXiv paper 2410.15939: CausalGraph2LLM: Evaluating LLMs for Causal Queries
evaluating llmscausalqueries
https://aclanthology.org/2025.sicon-1.4/
Shruthi Chockkalingam, Seyed Hossein Alavi, Raymond T. Ng, Vered Shwartz. Proceedings of the Third Workshop on Social Influence in Conversations (SICon 2025)....
go veganevaluatingllms
https://intelepeer.ai/resource-center/white-paper/evaluating-llms-for-enterprise-use-a-strategic-guide
Aug 22, 2025 - Download “Best Practices for Evaluating LLMs” to deepen your understanding of how to responsibly and effectively integrate LLMs into enterprise systems.
evaluating llmsstrategic guideenterpriseuseintelepeer