Search Results for author:
Found 16 papers, 10 papers with code
Chain-of-Tools: Utilizing Massive Unseen Tools in the CoT Reasoning of Frozen Language Models
However most of the existing methods either need to finetune that the model can only use tools seen in the training data, or add tool demonstrations into the prompt with lower efficiency.
Event-Based Tracking Any Point with Motion-Augmented Temporal Consistency
Tracking Any Point (TAP) plays a crucial role in motion analysis.
NesTools: A Dataset for Evaluating Nested Tool Learning Abilities of Large Language Models
Large language models (LLMs) combined with tool learning have gained impressive results in real-world applications.
Double-Side Polarization and Beamforming Alignment in Polarization Reconfigurable MISO System with Deep Neural Networks
Polarization reconfigurable (PR) antennas enhance spectrum and energy efficiency between next-generation node B(gNB) and user equipment (UE).
Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark
Therefore, Seal-Tools can serve as a new benchmark to evaluate the tool-calling ability of LLMs.
Active Sensing for Multiuser Beam Tracking with Reconfigurable Intelligent Surface
Specifically, the mobile UEs send uplink pilots to the AP periodically during the channel sensing intervals, the AP then adaptively configures the beamformers and the RIS reflection coefficients for subsequent data transmission based on the received pilots.
MambaPupil: Bidirectional Selective Recurrent model for Event-based Eye tracking
Event-based eye tracking has shown great promise with the high temporal resolution and low redundancy provided by the event camera.
Event-Based Eye Tracking. AIS 2024 Challenge Survey
This survey reviews the AIS 2024 Event-Based Eye Tracking (EET) Challenge.
Traffic Sign Interpretation in Real Road Scene
Following the above issues, we propose a traffic sign interpretation (TSI) task, which aims to interpret global semantic interrelated traffic signs (e. g.,~driving instruction-related texts, symbols, and guide panels) into a natural language for providing accurate instruction support to autonomous or assistant driving.
Fitting Auditory Filterbanks with Multiresolution Neural Networks
Waveform-based deep learning faces a dilemma between nonparametric and parametric approaches.
Mesostructures: Beyond Spectrogram Loss in Differentiable Time-Frequency Analysis
Computer musicians refer to mesostructures as the intermediate levels of articulation between the microstructure of waveshapes and the macrostructure of musical forms.
Perceptual-Neural-Physical Sound Matching
On the other hand, mean square error in the spectrotemporal domain, known as "spectral loss", is perceptually motivated and serves in differentiable digital signal processing (DDSP).
Differentiable Time-Frequency Scattering on GPU
Joint time-frequency scattering (JTFS) is a convolutional operator in the time-frequency domain which extracts spectrotemporal modulations at various rates and scales.
Multi-Grained Spatio-Temporal Features Perceived Network for Event-Based Lip-Reading
To recognize words from the event data, we propose a novel Multi-grained Spatio-Temporal Features Perceived Network (MSTP) to perceive fine-grained spatio-temporal features from microsecond time-resolved event data.
Reconfigurable Intelligent Surface-induced Randomness for mmWave Key Generation
In this paper, for mmWave secret key generation of physical layer security, we use a reconfigurable intelligent surface (RIS) to induce randomness directly in wireless environments, without adding complexity to transceivers.
wav2shape: Hearing the Shape of a Drum Machine
Disentangling and recovering physical attributes, such as shape and material, from a few waveform examples is a challenging inverse problem in audio signal processing, with numerous applications in musical acoustics as well as structural engineering.
