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camilochs

42 karma · joined September 11, 2016

  Researcher at Apeiron Intelligence, Barcelona. PhD in CS & AI (IIIA-CSIC and UAB).

  Web: https://camilochacon.com

  Code: https://github.com/camilochs

  Lab: https://labs.artificialfallibility.com

  Papers: https://scholar.google.com/citations?user=oEYuOoIAAAAJ
submissionscomments

When Software Outlives Its Reasons (Philosophical Essay)

papers.ssrn.com·1 pts·camilochs·
0

From Hand-Crafted to LLM-Based Variation Operators in Metaheuristics

camilochs.github.io·1 pts·camilochs·
0

A visualization of how a codebase was produced, not who produced it

codecurrents.artificialfallibility.com·2 pts·camilochs·
0

ExactTex. A gradually-typed superset of LaTeX

github.com·28 pts·camilochs·
22

Vitela. A free, type-safe alternative to Overleaf

vitela.artificialfallibility.com·2 pts·camilochs·
0

A Multilingual Auditor-Judge Safety Benchmark for Emotional-Support Chatbots

alphaxiv.org·1 pts·camilochs·
0

How to Stress-Test LLM Judges Fairly

alphaxiv.org·2 pts·camilochs·
0

Code Structure Evolution: When Software Outlives Its Reasons

papers.ssrn.com·1 pts·camilochs·
0

When generative AI makes mistakes, are they the same as human errors?

link.springer.com·1 pts·camilochs·
1

Geakg: Generative Executable Algorithm Knowledge Graphs

arxiv.org·1 pts·camilochs·
0

The Specification Gap: Coordination Failure Under Partial Knowledge in Agents

researchgate.net·1 pts·camilochs·
0

Architectures of Error: A Philosophical Inquiry into Human and AI Code

link.springer.com·1 pts·camilochs·
0

Combinatorial Optimization for All: Using LLMs to Aid Non-Experts

journal.iberamia.org·1 pts·camilochs·
0

Code World Models for Parameter Control in Evolutionary Algorithms

alphaxiv.org·7 pts·camilochs·
0

Architectures of Error: A Philosophical Inquiry into Human and AI Code

papers.ssrn.com·1 pts·camilochs·
0

Coherent Without Grounding, Grounded Without Success (Philosophy and LLMs)

papers.ssrn.com·3 pts·camilochs·
0

Code Evolution: Self-Improving Software with LLMs and Python

github.com·2 pts·camilochs·
0

LLM-Based Instance-Driven Heuristic Bias in the Context of a BRKGA

researchgate.net·1 pts·camilochs·
0

STN Analytics. A tool for the visual analysis of Search Trajectory Networks

stnweb.surge.sh·1 pts·camilochs·
0

Metaheuristics and Large Language Models Join Forces

ieeexplore.ieee.org·2 pts·camilochs·
0

A Philosophical Inquiry into AI-Generated and Human-Generated Code

papers.ssrn.com·1 pts·camilochs·
0

Architectures of Error|A Philosophical Inquiry into AI and Human Code Generation

researchgate.net·1 pts·camilochs·
0

An Interview with Jeffrey Ullman (ACM Turing Award) English/Spanish

camilocs.substack.com·2 pts·camilochs·
0

Combinatorial Optimization for All: Leveraging LLMs to Assist Non-Experts

camilochs.github.io·1 pts·camilochs·
0

Improving Existing Optimization Algorithms with LLMs

alphaxiv.org·2 pts·camilochs·
0

Interviews with Great Computer Scientists

camilocs.substack.com·1 pts·camilochs·
0

LLMs as Pattern-Matching Enhancers for Metaheuristics?

ieeexplore.ieee.org·1 pts·camilochs·
0

Can Large Vision-Language Models (LVLMs) Understand Graphs?

camilochs.github.io·1 pts·camilochs·
0

Can Large Vision-Language Models understand graphs?

camilochs.github.io·1 pts·camilochs·
0

Large Language Models for the Automated Analysis of Optimization Algorithms

dl.acm.org·1 pts·camilochs·
0
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