Trending Research
LettuceDetect: A Hallucination Detection Framework for RAG Applications
Retrieval Augmented Generation (RAG) systems remain vulnerable to hallucinated answers despite incorporating external knowledge sources.
olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models
PDF documents have the potential to provide trillions of novel, high-quality tokens for training language models.
ELIZA Reanimated: The world's first chatbot restored on the world's first time sharing system
The entire stack is open source, so that any user of a unix-like OS can run the world's first chatbot on the world's first time-sharing system.
GENERator: A Long-Context Generative Genomic Foundation Model
Recent developments in genomic language models have underscored the potential of LLMs in deciphering DNA sequences.
Underwater Organism Color Enhancement via Color Code Decomposition, Adaptation and Interpolation
ColorCode offers three key features: 1) color enhancement, producing an enhanced image with a fixed color; 2) color adaptation, enabling controllable adjustments of long-wavelength color components using guidance images; and 3) color interpolation, allowing for the smooth generation of multiple colors through continuous sampling of the color code.
Online 3D Bin Packing with Constrained Deep Reinforcement Learning
alexfrom0815/Online-3D-BPP-DRL
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We solve a challenging yet practically useful variant of 3D Bin Packing Problem (3D-BPP).
Liquid: Language Models are Scalable Multi-modal Generators
We present Liquid, an auto-regressive generation paradigm that seamlessly integrates visual comprehension and generation by tokenizing images into discrete codes and learning these code embeddings alongside text tokens within a shared feature space for both vision and language.
CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning
In this work, we take the first step to analyze the limitations of existing backdoor attacks and propose new DPBAs called CorruptEncoder to CL.
AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems
Introducing AgiBot World, a large-scale platform comprising over 1 million trajectories across 217 tasks in five deployment scenarios, we achieve an order-of-magnitude increase in data scale compared to existing datasets.
Fooling the Image Dehazing Models by First Order Gradient
guijiejie/aadn
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In this paper, we focus on designing a group of attack methods based on first order gradient to verify the robustness of the existing dehazing algorithms.
