… More search, compute, or context alone does not remove this bottleneck. We build and maintain a community platform for cumulative and comparable iteration, and release the data and code at this https URL . …
… While reliable, traditional keyword-centric search fails to capture complex research intents. Frontier LLMs can handle complex research intents, but their high cost and tendency to hallucinate remain key limitations. …
… Selective-Complementary Reinforcement Learning at Test Time 2026 Think Through Uncertainty: Improving Long-Form Generation Factuality via Reasoning Calibration 2026 Too Correct to Learn: Reinforcement Learning on Saturated Reasoning Data 2026 AGPO: Asymmetric Group Policy Optimization for Verifiabl… …
… This reveals that models already know when tools are needed, but fail to act on this knowledge during generation. …
… Yet research-level math benchmarks remain scarce because such problems are difficult to source e.g., Riemann Bench and FrontierMath-Tier 4 contain 25 and 50 problems, respectively . …
… I am currently exploring Open-Source alternatives to OpenAI DeepResearch as it's a really great product, one of the most useful since ChatGPT was launched in 2022 for me, as the results of research are incredible high-quality not just simple research with "search" function. …