QCon London 2026: Addressing Ethical AI as a Key Engineering Challenge
Navigating the Ethical Challenges of AI: Insights from Clara Higuera at QCon London 2026 At QCon London 2026, Clara Higuera,…
Challenges in Aligning Large Language Models with Asian Public Opinion
Understanding the Gaps in Large Language Models' Alignment with Asian Public Opinion The rapid advancement of technology has ushered in…
Reducing Overthinking in LLMs: Effective Strategies Using Cumulative Entropy Regulation
Mitigating LLM Overthinking: A Deep Dive into "Explore Briefly, Then Decide" Large Language Models (LLMs) are astonishingly capable of tackling…
Optimizing Visual Question Answering with Task Progressive Curriculum Learning
Submitted on 26 Nov 2024 (v1), last revised 23 Mar 2026 (this version, v2) Discover an in-depth examination of TPCL:…
QCon London 2026: Implementing AI at the Edge – Executing Real Workloads Directly in Your Browser
Running AI at the Edge: Practical Workloads Directly in the Browser At QCon London 2026, James Hall, the founder and…
Comprehensive Framework for Addressing Hallucinations in Large Language Models (LLMs)
HalluClean: A Breakthrough Framework to Eliminate Hallucinations in Large Language Models Large language models (LLMs) have taken the world of…
Machine Learning for Interpretable Early Warning Systems in Online Game Experiments: A Study on Effective Predictive Models
Interpretable Early Warnings Using Machine Learning in an Online Game-Experiment In a world increasingly driven by complex data systems, the…
QCon London 2026: Solving AI Infrastructure Scaling Challenges with 1 Million Sandboxes on One Server
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Enhancing Generalized Planning with Large Language Models: Strategy Refinement and Reflection Techniques
Submitted on: 19 Aug 2025 (v1), last revised 20 Mar 2026 (this version, v2) View a PDF of the paper…
Enhanced Visualization Techniques for Comparative Analysis of Regression Models
A Visualization for Comparative Analysis of Regression Models Submitted on: 10 Mar 2026 <p>Authors: Nassime Mountasir (ICube) and collaborators.</p> <p>Explore…


