…Across multiple benchmarks and real-robot evaluation, VISUALTHINK-VLA achieves the highest success rate on most benchmarks while reducing the multi-second latency of reasoning-augmented baselines to the sub-second regime…
…WorldMemArena is a new benchmark evaluating the multimodal memory of long-horizon agents using a four-stage Action-World Interaction Loop and multi-session tasks for detailed performance diagnostics. This is an…
…Pre-launch testing exposed failures that text-only benchmarks rarely measure, including fabricated trading rules, fee paralysis, numeric anchoring, cadence trading, and misread tokenomics. Targeted harness changes reduced fabricated sell rules from…
…With a unified joint training strategy over heterogeneous image and video datasets, X2SAM delivers strong video segmentation performance, remains competitive on image segmentation benchmarks, and preserves general image and video chat ability…
…Yilun Zhao , , Tingyu Song , , , Abstract Researchers introduce BRIGHT-Pro, an expanded expert-annotated benchmark for reasoning-intensive retrieval, and RTriever-Synth, an aspect-decomposed synthetic corpus, to improve retriever performance through agentic…
…AI-generated summary Large language models perform strongly on benchmarks in mathematical reasoning , coding and document analysis , suggesting a broad ability to follow instructions. However, it remains unclear whether such success reflects…
…However, existing medical agent benchmarks primarily evaluate final outputs, providing limited visibility into agent behavior within the research process. To address this gap, we present AutoMedBench, a workflow-aware benchmark for autonomous…
…merging leads to FeatCal, a calibration method that reduces performance gaps through layer-wise weight updates without gradient descent, achieving superior benchmark results and efficiency. AI-generated summary Model merging combines task…
…determine what information to store in long-term memory for multimodal agents, improving performance on streaming video benchmarks. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Long-term memory is essential for…
…Despite recent advances in benchmark performance, strong computer-use agents remain expensive and slow in practice, since most systems invoke large multimodal models at nearly every interaction step. We argue that this…