Turning Multi‑Teacher Conflict into Dynamic Constraints: Robust Reasoning Alignment for Multimodal LLMs (ICML 2026)

APO (Autonomous Preference Optimization) converts the drift and conflict among multiple teacher multimodal LLMs into dynamic negative constraints while treating consensus as a positive preference, enabling robust concept alignment and superior diagnostic accuracy on the CXR‑MAX benchmark, as demonstrated by extensive ICML‑2026 experiments.

APOICML 2026Knowledge Distillation

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Turning Multi‑Teacher Conflict into Dynamic Constraints: Robust Reasoning Alignment for Multimodal LLMs (ICML 2026)

Machine Heart

May 13, 2026 · Artificial Intelligence

Turning Multi-Teacher Conflict into Dynamic Constraints for Precise Multimodal Model Alignment (ICML 2026)

The paper introduces APO, a novel autonomous preference optimization framework that converts concept drift among multiple teacher multimodal LLMs into dynamic negative constraints and treats consensus as a positive preference, achieving robust concept alignment and surpassing strong teachers on a high‑risk medical X‑ray benchmark.

APOCXR-MAXICML 2026

0 likes · 11 min read

Turning Multi-Teacher Conflict into Dynamic Constraints for Precise Multimodal Model Alignment (ICML 2026)

AI2ML AI to Machine Learning

Nov 3, 2025 · Artificial Intelligence

Smol Training Playbook: Secrets to Building World-Class LLMs

The article details the SmolLM3 3B‑parameter model, its architecture, dual‑mode inference, a three‑stage data‑curation strategy, rigorous ablation methods, preference optimisation (APO/DPO), model merging, and practical training‑stability tricks, offering a comprehensive guide for building high‑performing large language models.

APOLLM trainingcontext scaling

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Smol Training Playbook: Secrets to Building World-Class LLMs

Turning Multi‑Teacher Conflict into Dynamic Constraints: Robust Reasoning Alignment for Multimodal LLMs (ICML 2026)

Turning Multi-Teacher Conflict into Dynamic Constraints for Precise Multimodal Model Alignment (ICML 2026)

Smol Training Playbook: Secrets to Building World-Class LLMs

Turning Multi‑Teacher Conflict into Dynamic Constraints: Robust Reasoning Alignment for Multimodal LLMs (ICML 2026)