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Collections including paper arxiv:2505.13417

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 24
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 84
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 149
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

about 14 hours ago

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 13
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Scaling Law for Quantization-Aware Training

Paper • 2505.14302 • Published 14 days ago • 71
Reward Reasoning Model

Paper • 2505.14674 • Published 14 days ago • 34
Qwen3 Technical Report

Paper • 2505.09388 • Published 20 days ago • 175
AdaptThink: Reasoning Models Can Learn When to Think

Paper • 2505.13417 • Published 15 days ago • 78

AdaptThink: Reasoning Models Can Learn When to Think

Paper • 2505.13417 • Published 15 days ago • 78

Chain-of-Model Learning for Language Model

Paper • 2505.11820 • Published 18 days ago • 114
AdaptThink: Reasoning Models Can Learn When to Think

Paper • 2505.13417 • Published 15 days ago • 78
Thinkless: LLM Learns When to Think

Paper • 2505.13379 • Published 15 days ago • 50

AdaptThink: Reasoning Models Can Learn When to Think

Paper • 2505.13417 • Published 15 days ago • 78

J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning

Paper • 2505.10320 • Published 19 days ago • 22
Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures

Paper • 2505.09343 • Published 20 days ago • 62
Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models

Paper • 2505.10554 • Published 19 days ago • 117
Scaling Reasoning can Improve Factuality in Large Language Models

Paper • 2505.11140 • Published 18 days ago • 6

CoRAG: Collaborative Retrieval-Augmented Generation

Paper • 2504.01883 • Published Apr 2 • 10
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Paper • 2504.08837 • Published Apr 10 • 43
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model

Paper • 2504.10068 • Published Apr 14 • 30
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations

Paper • 2504.10481 • Published Apr 14 • 84

To Read collection

interesting papers to read

about 10 hours ago

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31 • 62
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 118
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published Mar 6 • 114
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 128

RL+reason model

about 15 hours ago

RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24 • 28
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 122
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 5

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