8 results for "agentic tasks"
How Do AI Agents Spend Your Money? Analyzing and Predicting Token Consumption in Agentic Coding Tasks
The wide adoption of AI agents in complex human workflows is driving rapid growth in LLM token consumption. When agents are deployed on tasks that require a significant amount of tokens, three questio…
Xiaomi open sources MiMo-V2.5 and MiMo-V2.5-Pro under the MIT License, saying both models are among the most efficient available for agentic "claw" tasks (Carl Franzen/VentureBeat)
Carl Franzen / VentureBeat : Xiaomi open sources MiMo-V2.5 and MiMo-V2.5-Pro under the MIT License, saying both models are among the most efficient available for agentic “claw” tasks — Xiaomi, the Chi…
A Decoupled Human-in-the-Loop System for Controlled Autonomy in Agentic Workflows
AI agents are increasingly deployed to execute tasks and make decisions within agentic workflows, introducing new requirements for safe and controlled autonomy. Prior work has established the importan…
FastOMOP: A Foundational Architecture for Reliable Agentic Real-World Evidence Generation on OMOP CDM data
The Observational Medical Outcomes Partnership Common Data Model (OMOP CDM), maintained by the Observational Health Data Sciences and Informatics (OHDSI) collaboration, enabled the harmonisation of el…
The Price of Agreement: Measuring LLM Sycophancy in Agentic Financial Applications
Given the increased use of LLMs in financial systems today, it becomes important to evaluate the safety and robustness of such systems. One failure mode that LLMs frequently display in general domain …
Speculative decoding with Gemma-4-31B + Gemma-4-E2B enables 120 - 200 tok/s output speed for specific tasks
So for my project I was using up until now either Gemini 3 / 2.5 Flash or Flash-lite. All my use cases are not agentic, simply LLM workflows for atomic tasks like extracting references from the law, c…
Xiaomi releases MiMo-v2.5 Family weights with strong coding and agent benchmarks
Peking University gives its computer science students a compiler project every semester. Build a complete SysY compiler in Rust including lexer, parser, abstract syntax tree, IR code generation, assem…
StoryTR: Narrative-Centric Video Temporal Retrieval with Theory of Mind Reasoning
Current video moment retrieval excels at action-centric tasks but struggles with narrative content. Models can see \textit{what is happening} but fail to reason \textit{why it matters}. This semantic …