When is Multicalibration Post-Processing Necessary?
Calibration is a well-studied property of predictors which guarantees meaningful uncertainty estimates. Multicalibration is a related notion -- originating in algorithmic fairness --...
On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference...
Reinforcement Learning from Human Feedback (RLHF) is an effective approach for aligning language models to human preferences. Central to RLHF is learning a...
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second
We present a foundation model for zero-shot metric monocular depth estimation. Our model, Depth Pro, synthesizes high-resolution depth maps with unparalleled sharpness and...
Improving How Machine Translations Handle Grammatical Gender Ambiguity
Machine Translation (MT) enables people to connect with others and engage with content across language barriers. Grammatical gender presents a difficult challenge for...
UI-JEPA: Towards Active Perception of User Intent Through Onscreen User Activity
Generating user intent from a sequence of user interface (UI) actions is a core challenge in comprehensive UI understanding. Recent advancements in multimodal...
Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs
Recent advancements in multimodal large language models (MLLMs) have been noteworthy, yet, these general-domain MLLMs often fall short in their ability to comprehend...
Retrieval-Augmented Correction of Named Entity Speech Recognition Errors
In recent years, end-to-end automatic speech recognition (ASR) systems have proven themselves remarkably accurate and performant, but these systems still have a significant...
Automated Code Fix Suggestions for Accessibility Issues in Mobile Apps
Accessibility is crucial for inclusive app usability, yet developers often struggle to identify and fix app accessibility issues due to a lack of...
European Conference on Computer Vision (ECCV) 2024
European Conference on Computer Vision (ECCV) 2024
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Speculative Streaming: Fast LLM Inference Without Auxiliary Models
Speculative decoding is a prominent technique to speed up the inference of a large target language model based on predictions of an auxiliary...
