… An LLM might give a highly fluent, partially correct answer that recommends the wrong material grade or violates a national standard—a critical failure in the real world. …
… The following papers were recommended by the Semantic Scholar API ADAPT: Benchmarking Commonsense Planning under Unspecified Affordance Constraints 2026 From Where Things Are to What They Are For: Benchmarking Spatial-Functional Intelligence in Multimodal LLMs 2026 Affordance Agent Harness: Verific… …
… Yet, in conversational benchmarks, which simulate real-world customer-centric issue resolution scenarios, these agents frequently fail due to the cascading effects of incorrect decision-making. …
… AI-generated summary Long-context large language models LLMs -for example, Gemini-3.1-Pro and Qwen-3.5-are widely used to empower many real-world applications, such as retrieval-augmented generation, autonomous agents, and AI assistants. …
… Overall, we show that provenance tracking for generated code can be made practical for real-world LLM systems. …
… However, existing research mainly focuses on static scam detection or synthetic scams, leaving open whether language models can understand how real-world scams progress over time. …