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Found 9 papers, 2 papers with code
QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines
Large language models (LLMs) have been widely used for relevance assessment in information retrieval.
SLM as Guardian: Pioneering AI Safety with Small Language Models
In this paper, we leverage a smaller LLM for both harmful query detection and safeguard response generation.
Taxonomy and Analysis of Sensitive User Queries in Generative AI Search
Although there has been a growing interest among industries in integrating generative LLMs into their services, limited experience and scarcity of resources act as a barrier in launching and servicing large-scale LLM-based services.
ConcatPlexer: Additional Dim1 Batching for Faster ViTs
Transformers have demonstrated tremendous success not only in the natural language processing (NLP) domain but also the field of computer vision, igniting various creative approaches and applications.
AADiff: Audio-Aligned Video Synthesis with Text-to-Image Diffusion
Recent advances in diffusion models have showcased promising results in the text-to-video (T2V) synthesis task.
MAFiD: Moving Average Equipped Fusion-in-Decoder for Question Answering over Tabular and Textual Data
Transformer-based models for question answering (QA) over tables and texts confront a “long” hybrid sequence over tabular and textual elements, causing long-range reasoning problems.
Ranked #1 on
Question Answering
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Unifying Vision-Language Representation Space with Single-tower Transformer
Contrastive learning is a form of distance learning that aims to learn invariant features from two related representations.
Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation
Fashion attribute editing is a task that aims to convert the semantic attributes of a given fashion image while preserving the irrelevant regions.
