HuggingFace
When Agents Commit Too Soon: Diagnosing Premature Commitment in LLM Agents
Long-horizon LLM agents can fail quietly: they settle on one reading of the evidence early, then spend the rest of th...
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HuggingFace
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments
We introduce ShotcreteDepth, a bi-modal dataset from the construction domain that captures both an active shotcreting...
HuggingFace
Comparing Linear Probes with Mahalanobis Cosine Similarity
Linear probes are widely used in interpretability research and often compared by cosine similarity. The Mahalanobis c...
HuggingFace
Lift4D: Harmonizing Single-View 3D Estimation for 4D Reconstruction In-the-Wild
Reconstructing dynamic non-rigid objects from monocular video requires integrating visual cues from direct observatio...
HuggingFace
TROPT: An Open Framework for Unifying and Advancing Discrete Text Optimization
Discrete text-trigger optimization -- searching for text sequences that, when ingested by a model, steer it toward a ...
HuggingFace
Beyond Reward Engineering: A Data Recipe for Long-Context Reinforcement Learning
Long-context reasoning is an essential capability for large language models, particularly when they are deployed as a...
arXiv
Discovering Latent Groups for Robust Classification
Machine learning models exploit spurious correlations, achieving high average accuracy but failing disproportionately...
arXiv
Data Selection Through Iterative Self-Filtering for Vision-Language Settings
The availability of large amounts of clean data is paramount to training neural networks. However, at large scales, m...
arXiv
RECALL: Recovery Experience Collection for Active Lifelong Learning in Vision-Language-Action Models
Vision-Language-Action (VLA) models are commonly fine-tuned through passive imitation learning, where additional demo...
arXiv
DiT-Reward: Generative Representations for Text-to-Image Reward Modeling
Can representations learned for image generation also support the evaluation of generated images? We study text-to-im...
arXiv
AI-driven Optimisation of Quality of Recovery (QoR) in Remote Patient Monitoring
Remote patient monitoring depends on patient-reported data to capture the subjective dimension of recovery that devic...
arXiv
AI Exposure Scores: what they measure, what they miss, and what comes next
A set of exposure scores calculated in 2023 has become a central empirical input to the future of work debate. Produc...