…AI-generated summary On-Policy Distillation (OPD) has emerged as a dominant post-training paradigm for large language models, especially for reasoning domains. However, OPD remains unstable in practice due to the…
…However, accurately interpreting unconstrained STEM student handwritten solutions with intertwined mathematical formulas, diagrams, and textual reasoning poses a significant challenge due to the lack of authentic and domain-specific benchmarks. Additionally, current…
…Moonshot AI claimed it matched the performance of OpenAI o1 in mathematics, coding, and multimodal reasoning capabilities. [ 12 ] In April 2025, Kimi-VL, an open source 16 billion parameter mixture of experts…
…Otherwise, return {false, reason_for_flag}.” Math: With better math skills, the model can now more accurately answer questions. For example: “If I get 26 paychecks per year, how much should I…
Hello everyone. In the last two years I spent, as a dev, part of my free time stretching the limits of my knowledge. Not being a mathematician myself, I discovered that formalizing concepts in mathematical language could…
I'm a big fan of on-device AI inference for a million reasons, especially its potential to significantly reduce or even potentially eliminate the need for massive AI data center projects in the United States. But so far,…
!UPDATE!(20.05.2026) WE HAVE NEW NUMBERS FROM 1.500+ TESTS IT'S WORKING! check my update post https://www.reddit.com/r/LocalLLaMA/s/AyNOehjkYT Or the go straight to the my Github https://github.com/OttoRenner/Gentle-Codi…
This is an upgrade of a tool I created 15 years ago in Python to learn OOP and solve some inadequacies in the HDR stacking tools I could find at the time. The problem was, none of them were really "batch friendly". None …
Hi HN, I'm Antoine Zambelli, AI Director at Texas Instruments.I built Forge, an open-source reliability layer for self-hosted LLM tool-calling.What it does:- Adds domain-and-tool-agnostic guardrails (retry nudges, step e…
…focusing on AI for physical simulation, surrogate modeling and design optimization with PhysicsNeMo. Before joining NVIDIA, he completed a PhD at the University of Cambridge Department of Applied Mathematics and Theoretical Physics…
…Amirreza Mohseni , , , Abstract CurveBench presents a benchmark for hierarchical topological reasoning using visual inputs, demonstrating significant challenges in exact topology-aware visual reasoning even with advanced models. AI-generated summary We introduce…
…Experiments on mathematical reasoning benchmarks show that the discovered strategies improve the overall accuracy--cost tradeoff over strong manually designed baselines. The discovered strategies generalize to held-out benchmarks and model scales…
Agentic AI / Generative AI Run High-Throughput Reinforcement Learning Training with End-to-End FP8 Precision Apr 20, 2026 By Guyue Huang , Shuang Yu , Zhaopeng Qiu , Oleg Rybakov , Wenwen Gao and Sylendran…
…July 23, 2026 Benchmarking AI Systems: from Model Metrics to Real-World Performance The agentic AI stack has evolved to fast multi-model orchestration, tool-augmented reasoning, and long-running inference chains…
…AI-generated summary Patent examination is a complex, multi-stage process requiring both technical expertise and legal reasoning , increasingly challenged by rising application volumes. Prior benchmark s predominantly view patent examination as…
