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Collections including paper arxiv:2405.17399

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RLHF Workflow: From Reward Modeling to Online RLHF

Paper • 2405.07863 • Published May 13 • 65
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16 • 125
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24 • 52
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27 • 84

DataComp-LM: In search of the next generation of training sets for language models

Paper • 2406.11794 • Published Jun 17 • 48
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs

Paper • 2406.10209 • Published Jun 14 • 8
Transformers Can Do Arithmetic with the Right Embeddings

Paper • 2405.17399 • Published May 27 • 51
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Paper • 2406.11931 • Published Jun 17 • 56

Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Paper • 2406.06525 • Published Jun 10 • 64
Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning

Paper • 2406.06469 • Published Jun 10 • 23
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models

Paper • 2406.04271 • Published Jun 6 • 27
Block Transformer: Global-to-Local Language Modeling for Fast Inference

Paper • 2406.02657 • Published Jun 4 • 36

Transformers Can Do Arithmetic with the Right Embeddings

Paper • 2405.17399 • Published May 27 • 51
jinaai/jina-clip-v1

Feature Extraction • Updated 9 days ago • 36.2k • 189
Alibaba-NLP/gte-multilingual-reranker-base

Text Classification • Updated 26 days ago • 4.45k • 28

Transformers Can Do Arithmetic with the Right Embeddings

Paper • 2405.17399 • Published May 27 • 51

Papers - Training - Math

Transformers Can Do Arithmetic with the Right Embeddings

Paper • 2405.17399 • Published May 27 • 51

Transformers Can Do Arithmetic with the Right Embeddings

Paper • 2405.17399 • Published May 27 • 51

Transformers Can Do Arithmetic with the Right Embeddings

Paper • 2405.17399 • Published May 27 • 51
From Loops to Oops: Fallback Behaviors of Language Models Under Uncertainty

Paper • 2407.06071 • Published Jul 8 • 7

Transformers Can Do Arithmetic with the Right Embeddings

Paper • 2405.17399 • Published May 27 • 51

FLAME: Factuality-Aware Alignment for Large Language Models

Paper • 2405.01525 • Published May 2 • 24
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data

Paper • 2405.14333 • Published May 23 • 32
Transformers Can Do Arithmetic with the Right Embeddings

Paper • 2405.17399 • Published May 27 • 51
EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture

Paper • 2405.18991 • Published May 29 • 12

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