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Apple Machine Learning Research
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Apple Machine Learning Research - Software

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Apple Machine Learning Research

25.08.2025

SlowFast-LLaVA-1.5: A Family of Token-Efficient Video Large Language Models for Long-Form Video Understanding - Apple Machine Learning Research

We introduce SlowFast-LLaVA-1.5 (abbreviated as SF-LLaVA-1.5), a family of video large language models (LLMs) offering a token-efficient…

Apple Machine Learning Research

25.08.2025

Rethinking Non-Negative Matrix Factorization with Implicit Neural Representations - Apple Machine Learning Research

This paper was accepted at the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) 2025 Non-negative Matrix…

Apple Machine Learning Research

25.08.2025

Apple Workshop on Privacy-Preserving Machine Learning 2025 - Apple Machine Learning Research

Apple believes that privacy is a fundamental human right. As AI experiences become increasingly personal and a part of people's daily lives…

Apple Machine Learning Research

25.08.2025

Pitch Accent Detection Improves Pretrained Automatic Speech Recognition - Apple Machine Learning Research

We show the performance of Automatic Speech Recognition (ASR) systems that use semi-supervised speech representations can be boosted by a…

Apple Machine Learning Research

25.08.2025

The "Super Weight:" How Even a Single Parameter can Determine a Large Language Model's Behavior - Apple Machine Learning Research

A recent paper from Apple researchers, "[The Super Weight in Large Language…

Apple Machine Learning Research

25.08.2025

Checklists Are Better Than Reward Models For Aligning Language Models - Apple Machine Learning Research

Language models must be adapted to understand and follow user instructions. Reinforcement learning is widely used to facilitate this --…

Apple Machine Learning Research

25.08.2025

UICoder: Finetuning Large Language Models to Generate User Interface Code through Automated Feedback - Apple Machine Learning Research

Large language models (LLMs) struggle to consistently generate UI code that compiles and produces visually relevant designs. Existing…

Apple Machine Learning Research

25.08.2025

Investigating Intersectional Bias in Large Language Models using Confidence Disparities in Coreference Resolution - Apple Machine Learning Research

Large language models (LLMs) have achieved impressive performance, leading to their widespread adoption as decision-support tools in…

Apple Machine Learning Research

12.08.2025

Optimal Corpus Aware Training for Neural Machine Translation - Apple Machine Learning Research

Corpus Aware Training (CAT) leverages valuable corpus metadata during training by injecting corpus information into each training example…

Apple Machine Learning Research

09.08.2025

Your LLM Knows the Future: Uncovering Its Multi-Token Prediction Potential - Apple Machine Learning Research

Autoregressive language models are constrained by their inherently sequential nature, generating one token at a time. This paradigm limits…

Apple Machine Learning Research

08.08.2025

Adaptive Knowledge Distillation for Device-Directed Speech Detection - Apple Machine Learning Research

Device-directed speech detection (DDSD) is a binary classification task that separates the user’s queries to a voice assistant (VA) from…

Apple Machine Learning Research

08.08.2025

The Interspeech 2025 Speech Accessibility Project Challenge - Apple Machine Learning Research

While the last decade has witnessed significant advancements in Automatic Speech Recognition (ASR) systems, performance of these systems for…

Apple Machine Learning Research

08.08.2025

Ambisonics Super-Resolution Using A Waveform-Domain Neural Network - Apple Machine Learning Research

Ambisonics is a spatial audio format describing a sound field. First-order Ambisonics (FOA) is a popular format comprising only four…

Apple Machine Learning Research

08.08.2025

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective - Apple Machine Learning Research

We introduce DiceHuBERT, a knowledge distillation framework for compressing HuBERT, a widely used self-supervised learning (SSL)-based…

Apple Machine Learning Research

01.08.2025

STIV: Scalable Text and Image Conditioned Video Generation - Apple Machine Learning Research

The field of video generation has made remarkable advancements, yet there remains a pressing need for a clear, systematic recipe that can…

Apple Machine Learning Research

01.08.2025

Affect Models Have Weak Generalizability to Atypical Speech - Apple Machine Learning Research

Speech and voice conditions can alter the acoustic properties of speech, which could impact the performance of paralinguistic models for…

Apple Machine Learning Research

29.07.2025

How Global Calibration Strengthens Multiaccuracy - Apple Machine Learning Research

Multiaccuracy and multicalibration are multigroup fairness notions for prediction that have found numerous applications in learning and…

Apple Machine Learning Research

29.07.2025

Association for Computational Linguistics (ACL) 2025 - Apple Machine Learning Research

Apple is presenting new research at the annual meeting of the Association for Computational Linguistics (ACL), which takes place in person…

Apple Machine Learning Research

29.07.2025

mRAKL: Multilingual Retrieval-Augmented Knowledge Graph Construction for Low-Resourced Languages - Apple Machine Learning Research

Knowledge Graphs represent real-world entities and the relationships between them. Multilingual Knowledge Graph Construction (mKGC) refers…

Apple Machine Learning Research

29.07.2025

MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains - Apple Machine Learning Research

Recent advances in large language models (LLMs) have increased the demand for comprehensive benchmarks to evaluate their capabilities as…

Apple Machine Learning Research

29.07.2025

Apple Workshop on Human-Centered Machine Learning 2024 - Apple Machine Learning Research

A human-centered approach to machine learning (HCML) involves designing ML machine learning & AI technology that prioritizes the needs and…

Apple Machine Learning Research

29.07.2025

ASPERA: A Simulated Environment to Evaluate Planning for Complex Action Execution - Apple Machine Learning Research

This work evaluates the potential of large language models (LLMs) to power digital assistants capable of complex action execution. These…

Apple Machine Learning Research

29.07.2025

Steering into New Embedding Spaces: Analyzing Cross-Lingual Alignment Induced by Model Interventions in Multilingual Language Models - Apple Machine Learning Research

Aligned representations across languages is a desired property in multilingual large language models (mLLMs), as alignment can improve…

Apple Machine Learning Research

29.07.2025

On Information Geometry and Iterative Optimization in Model Compression: Operator Factorization - Apple Machine Learning Research

The ever-increasing parameter counts of deep learning models necessitate effective compression techniques for deployment on…

Apple Machine Learning Research

29.07.2025

Can External Validation Tools Improve Annotation Quality for LLM-as-a-Judge? - Apple Machine Learning Research

Pairwise preferences over model responses are widely collected to evaluate and provide feedback to large language models (LLMs). Given two…

Apple Machine Learning Research

29.07.2025

On the Way to LLM Personalization: Learning to Remember User Conversations - Apple Machine Learning Research

This paper was accepted at the Workshop on Large Language Model Memorization (L2M2) 2025. Large Language Models (LLMs) have quickly become…

Apple Machine Learning Research

16.07.2025

PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors - Apple Machine Learning Research

We revisit the problem of secure aggregation of high-dimensional vectors in a two-server system such as Prio. These systems are typically…

Apple Machine Learning Research

12.07.2025

Apple Machine Learning Research at ICML 2025 - Apple Machine Learning Research

Apple researchers are advancing AI and ML through fundamental research, and to support the broader research community and help accelerate…

Apple Machine Learning Research

12.07.2025

Overcoming Vocabulary Constraints with Pixel-level Fallback - Apple Machine Learning Research

Subword tokenization requires balancing computational efficiency and vocabulary coverage, which often leads to suboptimal performance on…

Apple Machine Learning Research

12.07.2025

Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers, and Gradient Clipping - Apple Machine Learning Research

While federated learning (FL) and differential privacy (DP) have been extensively studied, their application to automatic speech recognition…

Apple Machine Learning Research

12.07.2025

AXLearn: Modular Large Model Training on Heterogeneous Infrastructure - Apple Machine Learning Research

We design and implement AXLearn, a production deep learning system that facilitates scalable and high-performance training of large deep…

Apple Machine Learning Research

12.07.2025

ILuvUI: Instruction-Tuned Language-Vision Modeling of UIs from Machine Conversations - Apple Machine Learning Research

Multimodal Vision-Language Models (VLMs) enable powerful applications from their fused understanding of images and language, but many…

Apple Machine Learning Research

11.07.2025

QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache - Apple Machine Learning Research

Large Language Models (LLMs) are increasingly being deployed on edge devices for long-context settings, creating a growing need for fast and…

Apple Machine Learning Research

11.07.2025

Point-3D LLM: Studying the Impact of Token Structure for 3D Scene Understanding With Large Language Models - Apple Machine Learning Research

Effectively representing 3D scenes for Multimodal Large Language Models (MLLMs) is crucial yet challenging. Existing approaches commonly…

Apple Machine Learning Research

10.07.2025

Self-reflective Uncertainties: Do LLMs Know Their Internal Answer Distribution? - Apple Machine Learning Research

This paper was accepted at the Workshop on Reliable and Responsible Foundation Models (RRFMs) Workshop at ICML 2025. Uncertainty…

Apple Machine Learning Research

10.07.2025

Shielded Diffusion: Generating Novel and Diverse Images using Sparse Repellency - Apple Machine Learning Research

The adoption of text-to-image diffusion models raises concerns over reliability, drawing scrutiny under the lens of various metrics like…

Apple Machine Learning Research

10.07.2025

CommVQ: Commutative Vector Quantization for KV Cache Compression - Apple Machine Learning Research

Large Language Models (LLMs) are increasingly used in applications requiring long context lengths, but the key-value (KV) cache often…

Apple Machine Learning Research

10.07.2025

A Variational Framework for Improving Naturalness in Generative Spoken Language Models - Apple Machine Learning Research

The success of large language models in text processing has inspired their adaptation to speech modeling. However, since speech is…

Apple Machine Learning Research

10.07.2025

Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion - Apple Machine Learning Research

Discrete diffusion is a promising framework for modeling and generating discrete data. In this work, we present Target Concrete Score…

Apple Machine Learning Research

09.07.2025

Addressing Misspecification in Simulation-based Inference through Data-driven Calibration - Apple Machine Learning Research

Driven by steady progress in deep generative modeling, simulation-based inference (SBI) has emerged as the workhorse for inferring the…

home›Apple Machine Learning Research›Software

Apple Machine Learning Research - Software

SlowFast-LLaVA-1.5: A Family of Token-Efficient Video Large Language Models for Long-Form Video Understanding - Apple Machine Learning Research

Rethinking Non-Negative Matrix Factorization with Implicit Neural Representations - Apple Machine Learning Research

Apple Workshop on Privacy-Preserving Machine Learning 2025 - Apple Machine Learning Research

Pitch Accent Detection Improves Pretrained Automatic Speech Recognition - Apple Machine Learning Research

The "Super Weight:" How Even a Single Parameter can Determine a Large Language Model's Behavior - Apple Machine Learning Research

Checklists Are Better Than Reward Models For Aligning Language Models - Apple Machine Learning Research

UICoder: Finetuning Large Language Models to Generate User Interface Code through Automated Feedback - Apple Machine Learning Research

Investigating Intersectional Bias in Large Language Models using Confidence Disparities in Coreference Resolution - Apple Machine Learning Research

Optimal Corpus Aware Training for Neural Machine Translation - Apple Machine Learning Research

Your LLM Knows the Future: Uncovering Its Multi-Token Prediction Potential - Apple Machine Learning Research

Adaptive Knowledge Distillation for Device-Directed Speech Detection - Apple Machine Learning Research

The Interspeech 2025 Speech Accessibility Project Challenge - Apple Machine Learning Research

Ambisonics Super-Resolution Using A Waveform-Domain Neural Network - Apple Machine Learning Research

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective - Apple Machine Learning Research

STIV: Scalable Text and Image Conditioned Video Generation - Apple Machine Learning Research

Affect Models Have Weak Generalizability to Atypical Speech - Apple Machine Learning Research

How Global Calibration Strengthens Multiaccuracy - Apple Machine Learning Research

Association for Computational Linguistics (ACL) 2025 - Apple Machine Learning Research

mRAKL: Multilingual Retrieval-Augmented Knowledge Graph Construction for Low-Resourced Languages - Apple Machine Learning Research

MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains - Apple Machine Learning Research

Apple Workshop on Human-Centered Machine Learning 2024 - Apple Machine Learning Research

ASPERA: A Simulated Environment to Evaluate Planning for Complex Action Execution - Apple Machine Learning Research

Steering into New Embedding Spaces: Analyzing Cross-Lingual Alignment Induced by Model Interventions in Multilingual Language Models - Apple Machine Learning Research

On Information Geometry and Iterative Optimization in Model Compression: Operator Factorization - Apple Machine Learning Research

Can External Validation Tools Improve Annotation Quality for LLM-as-a-Judge? - Apple Machine Learning Research

On the Way to LLM Personalization: Learning to Remember User Conversations - Apple Machine Learning Research

PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors - Apple Machine Learning Research

Apple Machine Learning Research at ICML 2025 - Apple Machine Learning Research

Overcoming Vocabulary Constraints with Pixel-level Fallback - Apple Machine Learning Research

Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers, and Gradient Clipping - Apple Machine Learning Research

AXLearn: Modular Large Model Training on Heterogeneous Infrastructure - Apple Machine Learning Research

ILuvUI: Instruction-Tuned Language-Vision Modeling of UIs from Machine Conversations - Apple Machine Learning Research

QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache - Apple Machine Learning Research

Point-3D LLM: Studying the Impact of Token Structure for 3D Scene Understanding With Large Language Models - Apple Machine Learning Research

Self-reflective Uncertainties: Do LLMs Know Their Internal Answer Distribution? - Apple Machine Learning Research

Shielded Diffusion: Generating Novel and Diverse Images using Sparse Repellency - Apple Machine Learning Research

CommVQ: Commutative Vector Quantization for KV Cache Compression - Apple Machine Learning Research

A Variational Framework for Improving Naturalness in Generative Spoken Language Models - Apple Machine Learning Research

Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion - Apple Machine Learning Research

Addressing Misspecification in Simulation-based Inference through Data-driven Calibration - Apple Machine Learning Research

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Apple Machine Learning Research
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Software