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Found 8 papers, 3 papers with code
ESPERANTO: Evaluating Synthesized Phrases to Enhance Robustness in AI Detection for Text Origination
In response to the identified shortcomings of existing AI text detectors, we present a countermeasure to improve the robustness against this form of manipulation.
Security Attacks on LLM-based Code Completion Tools
The rapid development of large language models (LLMs) has significantly advanced code completion capabilities, giving rise to a new generation of LLM-based Code Completion Tools (LCCTs).
Research, Applications and Prospects of Event-Based Pedestrian Detection: A Survey
Event-based cameras, inspired by the biological retina, have evolved into cutting-edge sensors distinguished by their minimal power requirements, negligible latency, superior temporal resolution, and expansive dynamic range.
QAQ: Quality Adaptive Quantization for LLM KV Cache
The emergence of LLMs has ignited a fresh surge of breakthroughs in NLP applications, particularly in domains such as question-answering systems and text generation.
Central Similarity Multi-View Hashing for Multimedia Retrieval
Hash representation learning of multi-view heterogeneous data is the key to improving the accuracy of multimedia retrieval.
Learning Autonomous Ultrasound via Latent Task Representation and Robotic Skills Adaptation
As medical ultrasound is becoming a prevailing examination approach nowadays, robotic ultrasound systems can facilitate the scanning process and prevent professional sonographers from repetitive and tedious work.
W2KPE: Keyphrase Extraction with Word-Word Relation
This paper describes our submission to ICASSP 2023 MUG Challenge Track 4, Keyphrase Extraction, which aims to extract keyphrases most relevant to the conference theme from conference materials.
ST-MNIST -- The Spiking Tactile MNIST Neuromorphic Dataset
We anticipate that our ST-MNIST dataset will be of interest and useful to the neuromorphic and robotics research communities.
