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Found 5 papers, 0 papers with code
On the Utility of Accounting for Human Beliefs about AI Behavior in Human-AI Collaboration
Specifically, we developed a model of human beliefs that accounts for how humans reason about the behavior of their AI partners.
Data-Driven Goal Recognition Design for General Behavioral Agents
Goal recognition design aims to make limited modifications to decision-making environments with the goal of making it easier to infer the goals of agents acting within those environments.
ReLU$^2$ Wins: Discovering Efficient Activation Functions for Sparse LLMs
To find the most efficient activation function for sparse computation, we propose a systematic framework to examine the sparsity of LLMs from three aspects: the trade-off between sparsity and performance, the predictivity of sparsity, and the hardware affinity.
OTFDM: A Novel 2D Modulation Waveform Modeling Dot-product Doubly-selective Channel
OTFDM uses a 2D dot-product channel model to cope with doubly-selectivity.
Highly Efficient Waveform Design and Hybrid Duplex for Joint Communication and Sensing
This paper proposes a novel waveform design named max-aperture radar slicing (MaRS) to gain a large time-frequency aperture, which is generated by orthogonal frequency division multiplexing (OFDM) and occupies only a tiny fraction of OFDM resources.
