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Collections including paper arxiv:2507.03724

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 • 23
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 85
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

MemOS: A Memory OS for AI System

Paper • 2507.03724 • Published Jul 4 • 157
Zep: A Temporal Knowledge Graph Architecture for Agent Memory

Paper • 2501.13956 • Published Jan 20 • 7
MIRIX: Multi-Agent Memory System for LLM-Based Agents

Paper • 2507.07957 • Published Jul 10 • 79
Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Paper • 2504.19413 • Published Apr 28 • 34

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 491
When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs

Paper • 2510.07499 • Published Oct 8 • 48
Improving Context Fidelity via Native Retrieval-Augmented Reasoning

Paper • 2509.13683 • Published Sep 17 • 8
Multimodal Iterative RAG for Knowledge-Intensive Visual Question Answering

Paper • 2509.00798 • Published Aug 31 • 1

Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations

Paper • 2508.09789 • Published Aug 13 • 5
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents

Paper • 2508.13186 • Published Aug 14 • 18
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents

Paper • 2508.04038 • Published Aug 6 • 1
Prompt Orchestration Markup Language

Paper • 2508.13948 • Published Aug 19 • 48

MemOS: A Memory OS for AI System

Paper • 2507.03724 • Published Jul 4 • 157
MIRIX: Multi-Agent Memory System for LLM-Based Agents

Paper • 2507.07957 • Published Jul 10 • 79

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 142
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 138
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21 • 88

NBA/Recommenders

FinTRec: Transformer Based Unified Contextual Ads Targeting and Personalization for Financial Applications

Paper • 2511.14865 • Published 18 days ago • 3
TradingAgents: Multi-Agents LLM Financial Trading Framework

Paper • 2412.20138 • Published Dec 28, 2024 • 14
MemOS: A Memory OS for AI System

Paper • 2507.03724 • Published Jul 4 • 157

Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30 • 276
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 262
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1 • 240
A Survey of Context Engineering for Large Language Models

Paper • 2507.13334 • Published Jul 17 • 259

MemOS: A Memory OS for AI System

Paper • 2507.03724 • Published Jul 4 • 157

MemOS: A Memory OS for AI System

Paper • 2507.03724 • Published Jul 4 • 157
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1 • 240

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 • 23
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 85
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 142
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 138
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21 • 88

MemOS: A Memory OS for AI System

Paper • 2507.03724 • Published Jul 4 • 157
Zep: A Temporal Knowledge Graph Architecture for Agent Memory

Paper • 2501.13956 • Published Jan 20 • 7
MIRIX: Multi-Agent Memory System for LLM-Based Agents

Paper • 2507.07957 • Published Jul 10 • 79
Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Paper • 2504.19413 • Published Apr 28 • 34

NBA/Recommenders

FinTRec: Transformer Based Unified Contextual Ads Targeting and Personalization for Financial Applications

Paper • 2511.14865 • Published 18 days ago • 3
TradingAgents: Multi-Agents LLM Financial Trading Framework

Paper • 2412.20138 • Published Dec 28, 2024 • 14
MemOS: A Memory OS for AI System

Paper • 2507.03724 • Published Jul 4 • 157

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 491
When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs

Paper • 2510.07499 • Published Oct 8 • 48
Improving Context Fidelity via Native Retrieval-Augmented Reasoning

Paper • 2509.13683 • Published Sep 17 • 8
Multimodal Iterative RAG for Knowledge-Intensive Visual Question Answering

Paper • 2509.00798 • Published Aug 31 • 1

Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30 • 276
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 262
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1 • 240
A Survey of Context Engineering for Large Language Models

Paper • 2507.13334 • Published Jul 17 • 259

Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations

Paper • 2508.09789 • Published Aug 13 • 5
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents

Paper • 2508.13186 • Published Aug 14 • 18
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents

Paper • 2508.04038 • Published Aug 6 • 1
Prompt Orchestration Markup Language

Paper • 2508.13948 • Published Aug 19 • 48

MemOS: A Memory OS for AI System

Paper • 2507.03724 • Published Jul 4 • 157

MemOS: A Memory OS for AI System

Paper • 2507.03724 • Published Jul 4 • 157
MIRIX: Multi-Agent Memory System for LLM-Based Agents

Paper • 2507.07957 • Published Jul 10 • 79

MemOS: A Memory OS for AI System

Paper • 2507.03724 • Published Jul 4 • 157
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1 • 240

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