{"id":"arxiv:2508.16204","title":"Competition and Attraction Improve Model Fusion","date":"2025-08-22","section":"Agents, open-endedness, AGI","quality":0.062343,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/0f52994edd8aa2b6a99e8b34ed0599f3bec5b5c3e95483c526e104a1a509a457/","source_url":"https://arxiv.org/abs/2508.16204","text_available":true,"authors":["João Abrantes","Robert Tjarko Lange","Yujin Tang"],"outgoing":[],"incoming":[],"text_parts":[{"start":0,"end":15841,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/0f52994edd8aa2b6a99e8b34ed0599f3bec5b5c3e95483c526e104a1a509a457/part-1.html"},{"start":15841,"end":31219,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/0f52994edd8aa2b6a99e8b34ed0599f3bec5b5c3e95483c526e104a1a509a457/part-2.html"},{"start":31219,"end":38101,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/0f52994edd8aa2b6a99e8b34ed0599f3bec5b5c3e95483c526e104a1a509a457/part-3.html"}],"contents":[{"title":"Competition and Attraction Improve Model Fusion","offset":0,"level":1,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/0f52994edd8aa2b6a99e8b34ed0599f3bec5b5c3e95483c526e104a1a509a457/part-1.html#text"},{"title":"Abstract.","offset":51,"level":6,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/0f52994edd8aa2b6a99e8b34ed0599f3bec5b5c3e95483c526e104a1a509a457/part-1.html#text"},{"title":"1. Introduction","offset":1577,"level":2,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/0f52994edd8aa2b6a99e8b34ed0599f3bec5b5c3e95483c526e104a1a509a457/part-1.html#text"},{"title":"2. Related Work","offset":5569,"level":2,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/0f52994edd8aa2b6a99e8b34ed0599f3bec5b5c3e95483c526e104a1a509a457/part-1.html#text"},{"title":"2.1. Model Merging","offset":5979,"level":3,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/0f52994edd8aa2b6a99e8b34ed0599f3bec5b5c3e95483c526e104a1a509a457/part-1.html#text"},{"title":"2.2. Overview of Diversity Preservation in Genetic Algorithms","offset":8323,"level":3,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/0f52994edd8aa2b6a99e8b34ed0599f3bec5b5c3e95483c526e104a1a509a457/part-1.html#text"},{"title":"3. Natural Niches","offset":12039,"level":2,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/0f52994edd8aa2b6a99e8b34ed0599f3bec5b5c3e95483c526e104a1a509a457/part-1.html#text"},{"title":"3.1. Eliminating Fixed Model Merging Boundaries","offset":13196,"level":3,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/0f52994edd8aa2b6a99e8b34ed0599f3bec5b5c3e95483c526e104a1a509a457/part-1.html#text"},{"title":"3.2. Encouraging Diversity via a Modified Optimization Goal","offset":15042,"level":3,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/0f52994edd8aa2b6a99e8b34ed0599f3bec5b5c3e95483c526e104a1a509a457/part-1.html#text"},{"title":"3.3. Sampling Parents via Attraction","offset":16857,"level":3,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/0f52994edd8aa2b6a99e8b34ed0599f3bec5b5c3e95483c526e104a1a509a457/part-2.html#text"},{"title":"4. Experiments","offset":18306,"level":2,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/0f52994edd8aa2b6a99e8b34ed0599f3bec5b5c3e95483c526e104a1a509a457/part-2.html#text"},{"title":"4.1. Experiment 1: Evolving MNIST classifiers","offset":18634,"level":3,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/0f52994edd8aa2b6a99e8b34ed0599f3bec5b5c3e95483c526e104a1a509a457/part-2.html#text"},{"title":"4.2. Experiment 2: Combining LLMs with Math and Agentic Skills","offset":26192,"level":3,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/0f52994edd8aa2b6a99e8b34ed0599f3bec5b5c3e95483c526e104a1a509a457/part-2.html#text"},{"title":"4.3. Experiment 3: Merging Diffusion-Based Image Generation Models","offset":29319,"level":3,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/0f52994edd8aa2b6a99e8b34ed0599f3bec5b5c3e95483c526e104a1a509a457/part-2.html#text"},{"title":"5. Limitations & Future Work","offset":35305,"level":2,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/0f52994edd8aa2b6a99e8b34ed0599f3bec5b5c3e95483c526e104a1a509a457/part-3.html#text"},{"title":"6. Conclusion","offset":36625,"level":2,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/0f52994edd8aa2b6a99e8b34ed0599f3bec5b5c3e95483c526e104a1a509a457/part-3.html#text"}],"text_code_points":38101,"source_markdown":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/0f52994edd8aa2b6a99e8b34ed0599f3bec5b5c3e95483c526e104a1a509a457/source.md"}