· ai
[Paper] Web World Models
Language agents increasingly require persistent worlds in which they can act, remember, and learn. Existing approaches sit at two extremes: conventional web fra...
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- · ai
[Paper] End-to-End Test-Time Training for Long Context
We formulate long-context language modeling as a problem in continual learning rather than architecture design. Under this formulation, we only use a standard a...
- · ai
[Paper] Calibrated Multi-Level Quantile Forecasting
We present an online method for guaranteeing calibration of quantile forecasts at multiple quantile levels simultaneously. A sequence of α-level quantile foreca...
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[Paper] Random Controlled Differential Equations
We introduce a training-efficient framework for time-series learning that combines random features with controlled differential equations (CDEs). In this approa...
- · ai
[Paper] IDT: A Physically Grounded Transformer for Feed-Forward Multi-View Intrinsic Decomposition
Intrinsic image decomposition is fundamental for visual understanding, as RGB images entangle material properties, illumination, and view-dependent effects. Rec...
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[Paper] Less is more: Probabilistic reduction is best explained by small-scale predictability measures
The primary research questions of this paper center on defining the amount of context that is necessary and/or appropriate when investigating the relationship b...
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[Paper] RoboMirror: Understand Before You Imitate for Video to Humanoid Locomotion
Humans learn locomotion through visual observation, interpreting visual content first before imitating actions. However, state-of-the-art humanoid locomotion sy...
- · ai
[Paper] Nested Browser-Use Learning for Agentic Information Seeking
Information-seeking (IS) agents have achieved strong performance across a range of wide and deep search tasks, yet their tool use remains largely restricted to ...
- · ai
[Paper] OmniAgent: Audio-Guided Active Perception Agent for Omnimodal Audio-Video Understanding
Omnimodal large language models have made significant strides in unifying audio and visual modalities; however, they often lack the fine-grained cross-modal und...
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[Paper] Simultaneous Approximation of the Score Function and Its Derivatives by Deep Neural Networks
We present a theory for simultaneous approximation of the score function and its derivatives, enabling the handling of data distributions with low-dimensional s...
- · ai
[Paper] A Dataset and Benchmark for Consumer Healthcare Question Summarization
The quest for seeking health information has swamped the web with consumers health-related questions. Generally, consumers use overly descriptive and peripheral...
- · ai
[Paper] Rethinking the Spatio-Temporal Alignment of End-to-End 3D Perception
Spatio-temporal alignment is crucial for temporal modeling of end-to-end (E2E) perception in autonomous driving (AD), providing valuable structural and textural...