Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.
On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...
New benchmark shows top LLMs achieve only 29% pass rate on OpenTelemetry instrumentation, exposing the gap between ...
The suite was initially authored in Crystal and then translated to other languages using AI-assisted tools (DeepSeek). This approach ensures functional and algorithmic parity, though the resulting ...
It also includes automatic tuning, caching, and a Pythonic interface for ease of use. Tilus is pronounced as tie-lus, /ˈtaɪləs/. Tilus supports Ampere architecture, and we are actively working on the ...
Abstract: Generalizing language-conditioned robotic policies to new tasks remains a significant challenge, hampered by the lack of suitable simulation benchmarks. In this paper, we address this gap by ...
Abstract: Large Vision-Language Models (LVLMs) with “multimodal distractibility,” where plausible but irrelevant visual or textual inputs cause significant drops in reasoning consistency and lead to ...
Wall Street broker Benchmark views a delay of the Senate Banking Committee's crypto market structure bill as a potentially constructive pause rather than a setback. "While the delay may at first ...
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