Models
Datasets
Spaces
Docs
Enterprise
Pricing
Log In
Sign Up

Collections

Discover the best community collections!

Collections including paper arxiv:2501.05707

LinFusion: 1 GPU, 1 Minute, 16K Image

Paper • 2409.02097 • Published Sep 3, 2024 • 34
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Paper • 2409.11406 • Published Sep 17, 2024 • 27
Diffusion Models Are Real-Time Game Engines

Paper • 2408.14837 • Published Aug 27, 2024 • 126
Segment Anything with Multiple Modalities

Paper • 2408.09085 • Published Aug 17, 2024 • 22

about 10 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 • 14
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

Structured Agent Operations

Agents for self-driving laboratories applied to quantum computing

Paper • 2412.07978 • Published Dec 10, 2024 • 1
Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges

Paper • 2412.11427 • Published Dec 16, 2024 • 3
AEGIS: An Agent-based Framework for General Bug Reproduction from Issue Descriptions

Paper • 2411.18015 • Published Nov 27, 2024 • 1
LLM4SR: A Survey on Large Language Models for Scientific Research

Paper • 2501.04306 • Published Jan 8 • 35

Papers exploring autonomous AI systems and frameworks for building intelligent agents that can perceive environment, plan actions and use tools.

Agent Laboratory: Using LLM Agents as Research Assistants

Paper • 2501.04227 • Published Jan 8 • 95
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains

Paper • 2501.05707 • Published Jan 10 • 20
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training

Paper • 2501.11425 • Published Jan 20 • 109

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Paper • 2501.04519 • Published Jan 8 • 286
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains

Paper • 2501.05707 • Published Jan 10 • 20
The Lessons of Developing Process Reward Models in Mathematical Reasoning

Paper • 2501.07301 • Published Jan 13 • 99

Synthetic Data and Self-Improvement

Training Software Engineering Agents and Verifiers with SWE-Gym

Paper • 2412.21139 • Published Dec 30, 2024 • 24
Evaluating Language Models as Synthetic Data Generators

Paper • 2412.03679 • Published Dec 4, 2024 • 48
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6, 2024 • 117

Dolphin: Closed-loop Open-ended Auto-research through Thinking, Practice, and Feedback

Paper • 2501.03916 • Published Jan 7 • 16
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though

Paper • 2501.04682 • Published Jan 8 • 99
Agent Laboratory: Using LLM Agents as Research Assistants

Paper • 2501.04227 • Published Jan 8 • 95
Search-o1: Agentic Search-Enhanced Large Reasoning Models

Paper • 2501.05366 • Published Jan 9 • 102

Foundation Models Empirical Analysis

An Empirical Study of Autoregressive Pre-training from Videos

Paper • 2501.05453 • Published Jan 9 • 41
LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs

Paper • 2501.06186 • Published Jan 10 • 65
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains

Paper • 2501.05707 • Published Jan 10 • 20
The Lottery LLM Hypothesis, Rethinking What Abilities Should LLM Compression Preserve?

Paper • 2502.17535 • Published Feb 24 • 8

Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains

Paper • 2501.05707 • Published Jan 10 • 20

SLM e Moe structure PHD tesis: SOTA e valutazione parametri

collezione di paper utili per redazione tesi 1-2-3- capitolo da valutare cambio di rotta e gestione PHD

2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining

Paper • 2501.00958 • Published Jan 1 • 107
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings

Paper • 2501.01257 • Published Jan 2 • 52
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Paper • 2501.01423 • Published Jan 2 • 44
REDUCIO! Generating 1024times1024 Video within 16 Seconds using Extremely Compressed Motion Latents

Paper • 2411.13552 • Published Nov 20, 2024

LinFusion: 1 GPU, 1 Minute, 16K Image

Paper • 2409.02097 • Published Sep 3, 2024 • 34
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Paper • 2409.11406 • Published Sep 17, 2024 • 27
Diffusion Models Are Real-Time Game Engines

Paper • 2408.14837 • Published Aug 27, 2024 • 126
Segment Anything with Multiple Modalities

Paper • 2408.09085 • Published Aug 17, 2024 • 22

Synthetic Data and Self-Improvement

Training Software Engineering Agents and Verifiers with SWE-Gym

Paper • 2412.21139 • Published Dec 30, 2024 • 24
Evaluating Language Models as Synthetic Data Generators

Paper • 2412.03679 • Published Dec 4, 2024 • 48
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6, 2024 • 117

about 10 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 • 14
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

Dolphin: Closed-loop Open-ended Auto-research through Thinking, Practice, and Feedback

Paper • 2501.03916 • Published Jan 7 • 16
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though

Paper • 2501.04682 • Published Jan 8 • 99
Agent Laboratory: Using LLM Agents as Research Assistants

Paper • 2501.04227 • Published Jan 8 • 95
Search-o1: Agentic Search-Enhanced Large Reasoning Models

Paper • 2501.05366 • Published Jan 9 • 102

Structured Agent Operations

Agents for self-driving laboratories applied to quantum computing

Paper • 2412.07978 • Published Dec 10, 2024 • 1
Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges

Paper • 2412.11427 • Published Dec 16, 2024 • 3
AEGIS: An Agent-based Framework for General Bug Reproduction from Issue Descriptions

Paper • 2411.18015 • Published Nov 27, 2024 • 1
LLM4SR: A Survey on Large Language Models for Scientific Research

Paper • 2501.04306 • Published Jan 8 • 35

Foundation Models Empirical Analysis

An Empirical Study of Autoregressive Pre-training from Videos

Paper • 2501.05453 • Published Jan 9 • 41
LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs

Paper • 2501.06186 • Published Jan 10 • 65
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains

Paper • 2501.05707 • Published Jan 10 • 20
The Lottery LLM Hypothesis, Rethinking What Abilities Should LLM Compression Preserve?

Paper • 2502.17535 • Published Feb 24 • 8

Papers exploring autonomous AI systems and frameworks for building intelligent agents that can perceive environment, plan actions and use tools.

Agent Laboratory: Using LLM Agents as Research Assistants

Paper • 2501.04227 • Published Jan 8 • 95
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains

Paper • 2501.05707 • Published Jan 10 • 20
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training

Paper • 2501.11425 • Published Jan 20 • 109

Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains

Paper • 2501.05707 • Published Jan 10 • 20

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Paper • 2501.04519 • Published Jan 8 • 286
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains

Paper • 2501.05707 • Published Jan 10 • 20
The Lessons of Developing Process Reward Models in Mathematical Reasoning

Paper • 2501.07301 • Published Jan 13 • 99

SLM e Moe structure PHD tesis: SOTA e valutazione parametri

collezione di paper utili per redazione tesi 1-2-3- capitolo da valutare cambio di rotta e gestione PHD

2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining

Paper • 2501.00958 • Published Jan 1 • 107
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings

Paper • 2501.01257 • Published Jan 2 • 52
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Paper • 2501.01423 • Published Jan 2 • 44
REDUCIO! Generating 1024times1024 Video within 16 Seconds using Extremely Compressed Motion Latents

Paper • 2411.13552 • Published Nov 20, 2024

Previous
1
2
Next

Company

TOS Privacy About Jobs

Website

Models Datasets Spaces Pricing Docs