LOTUS: Enabling Semantic Queries with LLMs Over Tables of Unstructured and Structured Data

stanford-futuredata/lotus 16 Jul 2024

We introduce semantic operators, a declarative programming interface that extends the relational model with composable AI-based operations for semantic queries over datasets (e. g., sorting or aggregating records using natural language criteria).

Extreme Multi-Label Classification Fact Checking

0.56 stars / hour

AudioLCM: Text-to-Audio Generation with Latent Consistency Models

Text-to-Audio/AudioLCM 1 Jun 2024

To overcome the convergence issue inherent in LDMs with reduced sample iterations, we propose the Guided Latent Consistency Distillation with a multi-step Ordinary Differential Equation (ODE) solver.

Audio Generation Audio Synthesis

0.52 stars / hour

RouteLLM: Learning to Route LLMs with Preference Data

lm-sys/routellm 26 Jun 2024

Large language models (LLMs) exhibit impressive capabilities across a wide range of tasks, yet the choice of which model to use often involves a trade-off between performance and cost.

Data Augmentation Transfer Learning

0.48 stars / hour

Large Language Models for Cyber Security: A Systematic Literature Review

hiyouga/llama-efficient-tuning 8 May 2024

Overall, our survey provides a comprehensive overview of the current state-of-the-art in LLM4Security and identifies several promising directions for future research.

Explainable Models Malware Analysis +3

0.44 stars / hour

IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce

hiyouga/llama-factory 14 Jun 2024

Enhancing Language Models' (LMs) ability to understand purchase intentions in E-commerce scenarios is crucial for their effective assistance in various downstream tasks.

Multiple-choice Question Answering

0.44 stars / hour

Scaling Diffusion Transformers to 16 Billion Parameters

feizc/dit-moe 16 Jul 2024

In this paper, we present DiT-MoE, a sparse version of the diffusion Transformer, that is scalable and competitive with dense networks while exhibiting highly optimized inference.

Attribute Conditional Image Generation +2

0.42 stars / hour

SEED-Story: Multimodal Long Story Generation with Large Language Model

tencentarc/seed-story 11 Jul 2024

We further propose multimodal attention sink mechanism to enable the generation of stories with up to 25 sequences (only 10 for training) in a highly efficient autoregressive manner.

Image Generation Language Modelling +3

0.42 stars / hour

Real-time Transformer-based Open-Vocabulary Detection with Efficient Fusion Head

om-ai-lab/OmDet 11 Mar 2024

End-to-end transformer-based detectors (DETRs) have shown exceptional performance in both closed-set and open-vocabulary object detection (OVD) tasks through the integration of language modalities.

Open Vocabulary Object Detection Real-Time Object Detection +1

0.41 stars / hour

Deep-TEMPEST: Using Deep Learning to Eavesdrop on HDMI from its Unintended Electromagnetic Emanations

emidan19/deep-tempest 12 Jul 2024

As a result, eavesdropping systems designed for the analog case obtain unclear and difficult-to-read images when applied to digital video.

0.39 stars / hour

GRUtopia: Dream General Robots in a City at Scale

openrobotlab/grutopia 15 Jul 2024

Recent works have been exploring the scaling laws in the field of Embodied AI.

Language Modelling Large Language Model

0.39 stars / hour