arXiv Publishes New Research: Enhancing Reliability and Efficiency of Autonomous Coding Agents
arXiv has published a study on improving the reliability of autonomous coding agents, prop…
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arXiv has published a study on improving the reliability of autonomous coding agents, prop…
LLMs & Foundation Models· 2026-10-07
A new study published on arXiv examines the effectiveness of Large Language Models (LLMs) …
Research & Papers· 2026-10-07
A new study published on arXiv presents significant advancements in the sample complexity …
LLMs & Foundation Models· 2026-10-07
A new arXiv study investigates the combined application of knowledge distillation and quan…
LLMs & Foundation Models· 2026-10-07
Fiorillo v0.5 is an open-source lightweight AI model focused on inferring the impact of in…
LLMs & Foundation Models· 2026-10-07
A new study published on arXiv introduces WavePrune, a technique designed to address the r…
Research & Papers· 2026-10-07
Wang Research Lab has released a study on the refusal mechanisms in Transformer models. Th…
Agentic· 2026-10-07
A new study published on arXiv introduces CPW-Drive, a closed-loop Retrieval-Augmented Gen…
LLMs & Foundation Models· 2026-10-07
arXiv has released a new study on external guidance in large language model (LLM) reasonin…
LLMs & Foundation Models· 2026-10-07
A new study published on arXiv has uncovered a critical safety flaw in agentic multimodal …
LLMs & Foundation Models· 2026-10-07
arXiv has released a new study on emotion-aware speech language modeling, introducing EMOD…
LLMs & Foundation Models· 2026-10-07
A new study published on arXiv introduces Condition-Anchored Generative Distillation (CAGD…