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Collections including paper arxiv:2409.15700

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about 19 hours ago

RLHF Workflow: From Reward Modeling to Online RLHF

Paper • 2405.07863 • Published May 13 • 67
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 • 53
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27 • 85

Text Embedding & Rankers

Jina-ColBERT-v2: A General-Purpose Multilingual Late Interaction Retriever

Paper • 2408.16672 • Published Aug 29 • 6
Precise Zero-Shot Dense Retrieval without Relevance Labels

Paper • 2212.10496 • Published Dec 20, 2022 • 2
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent

Paper • 2304.09542 • Published Apr 19, 2023 • 4
Making Text Embedders Few-Shot Learners

Paper • 2409.15700 • Published 13 days ago • 27

about 2 hours ago

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21 • 53
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17 • 51
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20 • 40
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20 • 49

CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data

Paper • 2404.15653 • Published Apr 24 • 26
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24 • 12
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Paper • 2405.12130 • Published May 20 • 45
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

Paper • 2405.12981 • Published May 21 • 28

LM Capabilities and Scaling

Compression Represents Intelligence Linearly

Paper • 2404.09937 • Published Apr 15 • 27
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Paper • 2404.06395 • Published Apr 9 • 21
Long-context LLMs Struggle with Long In-context Learning

Paper • 2404.02060 • Published Apr 2 • 34
Are large language models superhuman chemists?

Paper • 2404.01475 • Published Apr 1 • 15

Foundation Models

OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1 • 79
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Paper • 2403.05530 • Published Mar 8 • 59
StarCoder: may the source be with you!

Paper • 2305.06161 • Published May 9, 2023 • 29
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Paper • 2312.15166 • Published Dec 23, 2023 • 56

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

Paper • 2403.03507 • Published Mar 6 • 182
Yi: Open Foundation Models by 01.AI

Paper • 2403.04652 • Published Mar 7 • 61
RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs

Paper • 2407.02552 • Published Jul 2 • 4
OpenDevin: An Open Platform for AI Software Developers as Generalist Agents

Paper • 2407.16741 • Published Jul 23 • 67

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