Trending Research
SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator
HKUDS/SepLLM
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This observation suggests that information of the segments between these separator tokens can be effectively condensed into the separator tokens themselves without significant information loss.
qlib
microsoft/qlib
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Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions.
s3: You Don't Need That Much Data to Train a Search Agent via RL
pat-jj/s3
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Retrieval-augmented generation (RAG) systems empower large language models (LLMs) to access external knowledge during inference.
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
lukas-blecher/LaTeX-OCR
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ICLR 2021
While the Transformer architecture has become the de-facto standard for natural language processing tasks, its applications to computer vision remain limited.
Ranked #1 on
Image Classification
on CIFAR-10
(using extra training data)
OLLA: Optimizing the Lifetime and Location of Arrays to Reduce the Memory Usage of Neural Networks
We present OLLA, an algorithm that optimizes the lifetime and memory location of the tensors used to train neural networks.
R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning
Our reward model, R1-Reward, trained using the StableReinforce algorithm on this dataset, significantly improves performance on multimodal reward modeling benchmarks.
Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution
For Maximal self-evolution, we enable the creativity of Alita by providing a suite of general-purpose components to autonomously construct, refine, and reuse external capabilities by generating task-related model context protocols (MCPs) from open source, which contributes to scalable agentic reasoning.
Fine-grained and accurate source code differencing
At the heart of software evolution is a sequence of edit actions, called an edit script, made to a source code file.
Let Them Talk: Audio-Driven Multi-Person Conversational Video Generation
Audio-driven human animation methods, such as talking head and talking body generation, have made remarkable progress in generating synchronized facial movements and appealing visual quality videos.
DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge
However, existing methods are limited to challenging image-based forecasting, which suffers from redundant information and lacks comprehensive and critical world knowledge, including dynamic, spatial and semantic information.
Ranked #1 on
Robot Manipulation
on CALVIN
