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Collections including paper arxiv:2502.01237

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 146
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20, 2024 • 13
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24, 2024 • 54
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24, 2024 • 47

The Differences Between Direct Alignment Algorithms are a Blur

Paper • 2502.01237 • Published 7 days ago • 108
s1: Simple test-time scaling

Paper • 2501.19393 • Published 10 days ago • 97
Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs

Paper • 2501.18585 • Published 11 days ago • 51
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published 13 days ago • 101

Evalution-Alignment

The Differences Between Direct Alignment Algorithms are a Blur

Paper • 2502.01237 • Published 7 days ago • 108

The Differences Between Direct Alignment Algorithms are a Blur

Paper • 2502.01237 • Published 7 days ago • 108

The Differences Between Direct Alignment Algorithms are a Blur

Paper • 2502.01237 • Published 7 days ago • 108

Reinforce learning 🔃

REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models

Paper • 2501.03262 • Published Jan 4 • 90
Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation

Paper • 2412.06531 • Published Dec 9, 2024 • 71
The Differences Between Direct Alignment Algorithms are a Blur

Paper • 2502.01237 • Published 7 days ago • 108
Process Reinforcement through Implicit Rewards

Paper • 2502.01456 • Published 7 days ago • 53

about 4 hours ago

WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning

Paper • 2411.02337 • Published Nov 4, 2024 • 35
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models

Paper • 2411.04996 • Published Nov 7, 2024 • 50
Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level

Paper • 2411.03562 • Published Nov 5, 2024 • 65
StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization

Paper • 2410.08815 • Published Oct 11, 2024 • 45

Differential Transformer

Paper • 2410.05258 • Published Oct 7, 2024 • 169
PaliGemma 2: A Family of Versatile VLMs for Transfer

Paper • 2412.03555 • Published Dec 4, 2024 • 126
VisionZip: Longer is Better but Not Necessary in Vision Language Models

Paper • 2412.04467 • Published Dec 5, 2024 • 106
o1-Coder: an o1 Replication for Coding

Paper • 2412.00154 • Published Nov 29, 2024 • 43

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 58
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 52
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 42
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 55

manga_translation

EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 22
PALO: A Polyglot Large Multimodal Model for 5B People

Paper • 2402.14818 • Published Feb 22, 2024 • 23
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Paper • 2403.09611 • Published Mar 14, 2024 • 126
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD

Paper • 2404.06512 • Published Apr 9, 2024 • 30

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