Trending Research
The Unreasonable Effectiveness of Eccentric Automatic Prompts
stanfordnlp/dspy
•
•
Given the combinatorial complexity, and thus computation time, of experimenting with hand-tuning prompts for large black-box models, we then compared the performance of the best "positive thinking" prompt against the output of systematic prompt optimization.
Ranked #104 on
Arithmetic Reasoning
on GSM8K
Bilateral Reference for High-Resolution Dichotomous Image Segmentation
It comprises two essential components: the localization module (LM) and the reconstruction module (RM) with our proposed bilateral reference (BiRef).
Ranked #1 on
RGB Salient Object Detection
on HRSOD
(using extra training data)
Camouflaged Object Segmentation
Dichotomous Image Segmentation
+3
LLoCO: Learning Long Contexts Offline
We introduce LLoCO, a technique that combines context compression, retrieval, and parameter-efficient finetuning using LoRA.
High-Fidelity Audio Compression with Improved RVQGAN
descriptinc/descript-audio-codec
•
•
NeurIPS 2023
Language models have been successfully used to model natural signals, such as images, speech, and music.
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
idea-research/groundingdino
•
•
To effectively fuse language and vision modalities, we conceptually divide a closed-set detector into three phases and propose a tight fusion solution, which includes a feature enhancer, a language-guided query selection, and a cross-modality decoder for cross-modality fusion.
Ranked #1 on
Zero-Shot Object Detection
on MSCOCO
VMamba: Visual State Space Model
mzeromiko/vmamba
•
•
Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) have long been the predominant backbone networks for visual representation learning.
What Makes Good In-Context Examples for GPT-$3$?
stanfordnlp/dsp
•
•
Inspired by the recent success of leveraging a retrieval module to augment large-scale neural network models, we propose to retrieve examples that are semantically-similar to a test sample to formulate its corresponding prompt.
DualFocus: Integrating Macro and Micro Perspectives in Multi-modal Large Language Models
InternLM/InternLM-XComposer
•
•
We present DualFocus, a novel framework for integrating macro and micro perspectives within multi-modal large language models (MLLMs) to enhance vision-language task performance.
FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
We present FoundationPose, a unified foundation model for 6D object pose estimation and tracking, supporting both model-based and model-free setups.
CreativeSynth: Creative Blending and Synthesis of Visual Arts based on Multimodal Diffusion
Large-scale text-to-image generative models have made impressive strides, showcasing their ability to synthesize a vast array of high-quality images.
