11 accepted papers
Long-Text Understanding (LTU) at million-token scale requires balancing reasoning fidelity with computational efficiency. Frontier long-context LLMs can process millions of token contexts end-to-end, but they suffer from high token consumption and attention dilution. In parallel, specialized LTU age…
The effectiveness of large language models (LLMs) to fact-check misinformation remains uncertain, despite their growing use. To this end, we present CANDY, a benchmark designed to systematically evaluate the capabilities and limitations of LLMs in fact-checking Chinese misinformation. Specifically,
As space exploration advances, the demand for assembling large-scale structures in orbit, such as telescopes and space stations, continues to grow due to transportation size constraints. Robotic systems play a critical role in these tasks, requiring precise control and efficient energy management in
Retrieval-Augmented Generation (RAG) significantly improves the performance of Large Language Models (LLMs) on knowledge-intensive tasks. However, varying response quality across LLMs under RAG necessitates intelligent routing mechanisms, which select the most suitable model for each query from mult…
Brain-computer interface (BCI) based on steady- state visual evoked potentials (SSVEP) is a popular paradigm for its simplicity and high information transfer rate (ITR). Accurate and fast SSVEP decoding is crucial for reliable BCI performance. However, conventional decoding methods demand longer tim…
Estimating 3D hand pose and recovering the full hand surface mesh from a single RGB image is a challenging task due to self-occlusions, viewpoint changes, and the complexity of hand articulations. In this paper, we propose a novel framework that combines an attention mechanism with heatmap regressio…
Chinese Spell Checking (CSC) aims to detect and correct spelling errors in sentences. Despite Large Language Models (LLMs) exhibit robust capabilities and are widely applied in various tasks, their performance on CSC is often unsatisfactory. We find that LLMs fail to meet the Chinese character-level…
In this paper, we present CSCD-NS, the first Chinese spelling check (CSC) dataset designed for native speakers, containing 40,000 samples from a Chinese social platform. Compared with existing CSC datasets aimed at Chinese learners, CSCD-NS is ten times larger in scale and exhibits a distinct error…
Fluidic and tendon driven actuators are widely applied in soft robotic hand design. Fluidic actuated soft robotic hands are highly compliant and can adapt to various objects. Tendon driven soft robotic hands are easier to control and have high dexterity and large force output, however, they are less
Soft robotic actuators are highly elastic bodies that oscillate drastically once excited. This oscillation is undesirable in many applications. So far, very little studies on soft actuator damping have been reported. In this paper, we report a simple and effective vibration damping method based on p…
Soft robotic actuators are highly elastic bodies that oscillate drastically once excited. This oscillation is undesirable in many applications. So far, very little studies on soft actuator damping have been reported. In this paper, we report a simple and effective vibration damping method based on p