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Collections including paper arxiv:2406.04692

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 143
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20 • 11
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24 • 50
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24 • 44

Papers I want to read

Papers in my to-read list

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 • 126
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

Papers to Read & Models to See

Papers for me to read and models to take a look at later

We Care: Multimodal Depression Detection and Knowledge Infused Mental Health Therapeutic Response Generation

Paper • 2406.10561 • Published Jun 15 • 1
AtomGPT: Atomistic Generative Pre-trained Transformer for Forward and Inverse Materials Design

Paper • 2405.03680 • Published May 6 • 1
ChemNLP: A Natural Language Processing based Library for Materials Chemistry Text Data

Paper • 2209.08203 • Published Sep 17, 2022 • 1
SeaLLMs -- Large Language Models for Southeast Asia

Paper • 2312.00738 • Published Dec 1, 2023 • 23

This collection is meant for RAG articles

GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models

Paper • 2406.14550 • Published Jun 20 • 4
Mixture-of-Agents Enhances Large Language Model Capabilities

Paper • 2406.04692 • Published Jun 7 • 55
Meta Prompting for AGI Systems

Paper • 2311.11482 • Published Nov 20, 2023 • 3
Symbolic Learning Enables Self-Evolving Agents

Paper • 2406.18532 • Published Jun 26 • 11

Associative Recurrent Memory Transformer

Paper • 2407.04841 • Published Jul 5 • 31
Mixture-of-Agents Enhances Large Language Model Capabilities

Paper • 2406.04692 • Published Jun 7 • 55
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Paper • 2405.21060 • Published May 31 • 63
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Paper • 2404.14219 • Published Apr 22 • 251

DS' Daily paper

Instruction Pre-Training: Language Models are Supervised Multitask Learners

Paper • 2406.14491 • Published Jun 20 • 85
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Paper • 2405.21060 • Published May 31 • 63
Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models

Paper • 2405.20541 • Published May 30 • 20
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Paper • 2406.01574 • Published Jun 3 • 42

Bootstrapping Language Models with DPO Implicit Rewards

Paper • 2406.09760 • Published Jun 14 • 38
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Paper • 2406.11931 • Published Jun 17 • 57
Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs

Paper • 2406.14544 • Published Jun 20 • 34
Instruction Pre-Training: Language Models are Supervised Multitask Learners

Paper • 2406.14491 • Published Jun 20 • 85

Mixture-of-Agents Enhances Large Language Model Capabilities

Paper • 2406.04692 • Published Jun 7 • 55

Mixture-of-Agents Enhances Large Language Model Capabilities

Paper • 2406.04692 • Published Jun 7 • 55

Agents and Mixture of Agents

All about Mixture of Agents

Mixture-of-Agents Enhances Large Language Model Capabilities

Paper • 2406.04692 • Published Jun 7 • 55

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