https://trueiq.si/ Find LLM evaluation frameworks, leaderboards, observability platforms and AI-powered learning and assessment tools. Curated, searchable and refreshed daily. en Tue, 06 Oct 2026 01:26:45 +0000 https://trueiq.si/guides/rag-evaluation-metrics.html RAG evaluation metrics explained: faithfulness, relevancy, context precision and recall, which need a reference, and how Ragas, DeepEval and TruLens differ. Explainers Tue, 06 Oct 2026 12:00:00 +0000 https://trueiq.si/guides/rag-evaluation-metrics.html https://trueiq.si/guides/llm-leaderboards-compared.html Every major LLM leaderboard compared: how Arena, Artificial Analysis, LiveBench, SEAL, Epoch AI and Vellum score models, and where each one can mislead you. Comparison Tue, 06 Oct 2026 12:00:00 +0000 https://trueiq.si/guides/llm-leaderboards-compared.html https://trueiq.si/guides/llm-benchmarks-explained.html LLM benchmarks explained: what MMLU, GPQA Diamond, Humanity's Last Exam, SWE-bench and ARC-AGI measure, why scores saturate, and how to spot contamination. Explainer Tue, 06 Oct 2026 12:00:00 +0000 https://trueiq.si/guides/llm-benchmarks-explained.html https://trueiq.si/guides/llm-as-a-judge.html LLM as a judge explained: how model graders work, the biases that skew them, how to validate one against human labels, and which open-source tools to use. Explainers Tue, 06 Oct 2026 12:00:00 +0000 https://trueiq.si/guides/llm-as-a-judge.html https://trueiq.si/guides/langfuse-vs-langsmith.html Langfuse vs LangSmith in 2026: open-source license, self-hosting, pricing, retention, framework fit and migration tips, so you can pick the right LLM tracer. Comparison Tue, 06 Oct 2026 12:00:00 +0000 https://trueiq.si/guides/langfuse-vs-langsmith.html https://trueiq.si/guides/how-to-evaluate-llm-applications.html How to evaluate LLM apps step by step: error analysis, code checks, calibrated LLM judges, CI gates and production sampling, with tools for each stage. Guides Tue, 06 Oct 2026 12:00:00 +0000 https://trueiq.si/guides/how-to-evaluate-llm-applications.html https://trueiq.si/guides/best-llm-observability-tools.html The best LLM observability tools in 2026 compared: Langfuse, LangSmith, Phoenix, Opik, Weave and more, with licenses, self-hosting and who now owns what. Best of Tue, 06 Oct 2026 12:00:00 +0000 https://trueiq.si/guides/best-llm-observability-tools.html https://edworkingpapers.com/ai26-1551 [Hacker News] 23 points · 12 comments Hacker News Tue, 06 Oct 2026 00:00:45 +0000 trueiq.si:hn-49972419 https://therun.gg/blog/leaderboards-speedruncom [Hacker News] 34 points · 11 comments Hacker News Fri, 02 Oct 2026 18:07:05 +0000 trueiq.si:hn-49936641 https://arxiv.org/abs/2610.03715v1 [arXiv] We introduce 4DCodeBench, a benchmark for 4D inverse graphics through code generation, in which agents reconstruct dynamic scenes from video as executable graphics programs. To accomplish this, agents must translate visual observations into compact representations of scene struct… arXiv Fri, 02 Oct 2026 17:58:49 +0000 trueiq.si:arxiv-2610.03715v1 https://arxiv.org/abs/2610.03712v1 [arXiv] Ribonucleic acid (RNA) functions through conformational changes that are not fully captured by static structures. However, large-scale standardized RNA dynamics data remain limited, and existing approaches typically treat trajectory generation and dynamics understanding as separa… arXiv Fri, 02 Oct 2026 17:58:08 +0000 trueiq.si:arxiv-2610.03712v1 https://arxiv.org/abs/2610.03662v1 [arXiv] Deploying a new decision policy creates a cold-start problem for prediction models whose targets depend on the policy's actions: historical observations reflect earlier policies, while real observations under the new policy are not yet available. Simulation offers a way to addres… arXiv Fri, 02 Oct 2026 17:37:14 +0000 trueiq.si:arxiv-2610.03662v1 https://arxiv.org/abs/2610.03639v1 [arXiv] Large language models (LLMs) are increasingly used to support legal practice, education, and research, yet their reliability in national legal systems outside the United States remains largely undocumented. We introduce an expert-validated benchmark for evaluating LLM reliability… arXiv Fri, 02 Oct 2026 17:27:41 +0000 trueiq.si:arxiv-2610.03639v1 https://arxiv.org/abs/2610.03632v1 [arXiv] Physical fidelity has received increasing attention in world models and video generation, yet how video representations encode physical information remains less understood. We introduce the World Embedding Benchmark, comprising 8,000 controlled simulation cases from 80 families s… arXiv Fri, 02 Oct 2026 17:24:25 +0000 trueiq.si:arxiv-2610.03632v1 https://arxiv.org/abs/2610.03585v1 [arXiv] Security benchmarks for LLM-based agents often report the attack success rate (ASR) as a measure of model robustness and use these scores to compare different models and defense mechanisms, assuming that they describe the security of the agent. In this paper, we explore whether i… arXiv Fri, 02 Oct 2026 16:55:50 +0000 trueiq.si:arxiv-2610.03585v1 https://arxiv.org/abs/2610.03526v1 [arXiv] Explainers for Graph Neural Networks (GNNs) are commonly evaluated by their plausibility, i.e., how well their explanations recover a predefined ground truth, such as a motif planted in the data. This protocol implicitly assumes that a GNN trained on such data relies on the inten… arXiv Fri, 02 Oct 2026 16:14:19 +0000 trueiq.si:arxiv-2610.03526v1 https://arxiv.org/abs/2610.03524v1 [arXiv] General-purpose Text-to-SQL systems achieve strong performance on academic benchmarks like Spider and BIRD, where schemas are relatively shallow and column values are often human readable. In production financial databases, where concepts are stored as opaque integer keys rather … arXiv Fri, 02 Oct 2026 16:13:40 +0000 trueiq.si:arxiv-2610.03524v1 https://arxiv.org/abs/2610.03500v1 [arXiv] Deep tabular generative models are benchmarked on datasets with tens of thousands of rows; clinical datasets have hundreds. We preregistered and ran a size-ladder benchmark to find where the two regimes diverge: 8 public datasets subsampled from 200 to 20,000 training rows, seven… arXiv Fri, 02 Oct 2026 15:58:41 +0000 trueiq.si:arxiv-2610.03500v1 https://arxiv.org/abs/2610.03456v1 [arXiv] Drug-target affinity (DTA) prediction is widely used to prioritize candidate compounds before costly experimental screening. DTA models are often compared under a single data split, even though deployment may require extrapolation to new chemical series, new protein targets, or b… arXiv Fri, 02 Oct 2026 15:33:20 +0000 trueiq.si:arxiv-2610.03456v1 https://arxiv.org/abs/2610.03448v1 [arXiv] LLM agents increasingly screen tool outputs with small prompt-injection detectors, and teams choose among detectors by their scores on public benchmarks. We ask whether those scores predict how a detector behaves inside an agent. We replay the ground-truth tool calls of two agent… arXiv Fri, 02 Oct 2026 15:30:11 +0000 trueiq.si:arxiv-2610.03448v1 https://arxiv.org/abs/2610.03387v1 [arXiv] Typed decision models return choices or distributions over answer options supplied at request time. Accuracy with complete options does not establish whether a model recognizes that a reference answer is missing or avoids rejecting valid candidates. We present a paired candidate-… arXiv Fri, 02 Oct 2026 14:36:46 +0000 trueiq.si:arxiv-2610.03387v1 https://arxiv.org/abs/2609.36178 [Hacker News] 23 points · 3 comments Hacker News Fri, 02 Oct 2026 14:36:04 +0000 trueiq.si:hn-49934012 https://arxiv.org/abs/2610.03356v1 [arXiv] Large Language Model (LLM) agents are increasingly deployed in high-stakes settings such as industrial maintenance and equipment fault troubleshooting, where workers occupy a variety of roles. A capable agent must therefore act in a way that is calibrated to user's role: taking a… arXiv Fri, 02 Oct 2026 14:21:26 +0000 trueiq.si:arxiv-2610.03356v1 https://arxiv.org/abs/2610.03324v1 [arXiv] The scale of online content makes hate-speech moderation challenging, while Large Language Models (LLMs) enable harmful material to be produced and adapted more easily. Moderation therefore requires efficient classifiers that can accommodate different definitions of hate speech. … arXiv Fri, 02 Oct 2026 13:59:21 +0000 trueiq.si:arxiv-2610.03324v1 https://arxiv.org/abs/2610.03315v1 [arXiv] Trajectory evaluation is essential for improving the reliability of LLM-based agents, but production use makes it expensive to run repeatedly. Modern agents generate long traces containing tool calls, observations, retries, and external outputs, while not all raw tokens are equal… arXiv Fri, 02 Oct 2026 13:51:06 +0000 trueiq.si:arxiv-2610.03315v1 https://developers.redhat.com/articles/2026/10/02/benchmarking-ai-decision-models-against-traditional-guardrails [Hacker News] 153 points · 70 comments Hacker News Fri, 02 Oct 2026 13:47:41 +0000 trueiq.si:hn-49933476 https://www.kapa.ai/blog/company-knowledge-bench [Hacker News] 26 points · 3 comments Hacker News Fri, 02 Oct 2026 13:37:18 +0000 trueiq.si:hn-49933381 https://arxiv.org/abs/2610.03259v1 [arXiv] We release PaMIR (Public Arrival-ordered Measurement for Inference in Risk), an open benchmark for credit-default prediction when labels are scarce and arrive late. The field's reference benchmark studies use eight datasets each, only two or four of them public. PaMIR brings toge… arXiv Fri, 02 Oct 2026 13:04:45 +0000 trueiq.si:arxiv-2610.03259v1 https://dogbench.ai/ [Hacker News] 18 points · 3 comments Hacker News Thu, 01 Oct 2026 23:10:32 +0000 trueiq.si:hn-49928118 https://huggingface.co/papers/2610.03574 [HF Daily Papers] 51 upvotes HF Daily Papers Thu, 01 Oct 2026 20:00:00 +0000 trueiq.si:hfp-2610.03574 https://huggingface.co/papers/2610.03715 [HF Daily Papers] 19 upvotes HF Daily Papers Thu, 01 Oct 2026 20:00:00 +0000 trueiq.si:hfp-2610.03715 https://huggingface.co/papers/2610.01780 [HF Daily Papers] 250 upvotes HF Daily Papers Wed, 30 Sep 2026 20:00:00 +0000 trueiq.si:hfp-2610.01780 https://huggingface.co/papers/2610.02304 [HF Daily Papers] 45 upvotes HF Daily Papers Wed, 30 Sep 2026 20:00:00 +0000 trueiq.si:hfp-2610.02304 https://huggingface.co/papers/2610.02298 [HF Daily Papers] 44 upvotes HF Daily Papers Wed, 30 Sep 2026 20:00:00 +0000 trueiq.si:hfp-2610.02298 https://huggingface.co/papers/2610.02486 [HF Daily Papers] 11 upvotes HF Daily Papers Wed, 30 Sep 2026 20:00:00 +0000 trueiq.si:hfp-2610.02486 https://huggingface.co/papers/2610.00531 [HF Daily Papers] 47 upvotes HF Daily Papers Tue, 29 Sep 2026 20:00:00 +0000 trueiq.si:hfp-2610.00531 https://huggingface.co/papers/2610.00722 [HF Daily Papers] 2 upvotes HF Daily Papers Tue, 29 Sep 2026 20:00:00 +0000 trueiq.si:hfp-2610.00722