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Collections including paper arxiv:2505.19443

MLLM-as-a-Judge for Image Safety without Human Labeling

Paper • 2501.00192 • Published Dec 31, 2024 • 31
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining

Paper • 2501.00958 • Published Jan 1 • 107
Xmodel-2 Technical Report

Paper • 2412.19638 • Published Dec 27, 2024 • 27
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs

Paper • 2412.18925 • Published Dec 25, 2024 • 105

Interesting articles

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI

Paper • 2505.19443 • Published 12 days ago • 15

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI

Paper • 2505.19443 • Published 12 days ago • 15

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI

Paper • 2505.19443 • Published 12 days ago • 15

s3: You Don't Need That Much Data to Train a Search Agent via RL

Paper • 2505.14146 • Published 18 days ago • 17
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI

Paper • 2505.19443 • Published 12 days ago • 15
ARM: Adaptive Reasoning Model

Paper • 2505.20258 • Published 11 days ago • 43
Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles

Paper • 2505.19914 • Published 11 days ago • 40

CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging

Paper • 2502.05664 • Published Feb 8 • 23
AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation

Paper • 2312.13010 • Published Dec 20, 2023 • 5
HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scale

Paper • 2409.16299 • Published Sep 9, 2024 • 12
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI

Paper • 2505.19443 • Published 12 days ago • 15

Scaling Laws for Native Multimodal Models Scaling Laws for Native Multimodal Models

Paper • 2504.07951 • Published Apr 10 • 28
Have we unified image generation and understanding yet? An empirical study of GPT-4o's image generation ability

Paper • 2504.08003 • Published Apr 9 • 49
SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models

Paper • 2504.11468 • Published Apr 10 • 28
Towards Learning to Complete Anything in Lidar

Paper • 2504.12264 • Published Apr 16 • 10

InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU

Paper • 2502.08910 • Published Feb 13 • 149
From Hours to Minutes: Lossless Acceleration of Ultra Long Sequence Generation up to 100K Tokens

Paper • 2502.18890 • Published Feb 26 • 30
MPO: Boosting LLM Agents with Meta Plan Optimization

Paper • 2503.02682 • Published Mar 4 • 27
SWE-rebench: An Automated Pipeline for Task Collection and Decontaminated Evaluation of Software Engineering Agents

Paper • 2505.20411 • Published 11 days ago • 85

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LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 59
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 53
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 43
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 61

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