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upvoted a paper 23 days ago

OmniFlatten: An End-to-end GPT Model for Seamless Voice Conversation

Paper • 2410.17799 • Published Oct 23, 2024 • 16

upvoted a collection 23 days ago

Qwen3.5

Collection

21 items • Updated Mar 9 • 1.72k

upvoted an article 4 months ago

view article

Article

使用 DPO 微调 Llama 2

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• +1

kashif, ybelkada, lvwerra

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Aug 8, 2023

• 1

upvoted 17 papers 4 months ago

Astrolabe: Steering Forward-Process Reinforcement Learning for Distilled Autoregressive Video Models

Paper • 2603.17051 • Published Mar 17 • 109

On the Direction of RLVR Updates for LLM Reasoning: Identification and Exploitation

Paper • 2603.22117 • Published Mar 23 • 29

Sparse but Critical: A Token-Level Analysis of Distributional Shifts in RLVR Fine-Tuning of LLMs

Paper • 2603.22446 • Published Mar 23 • 11

CanViT: Toward Active-Vision Foundation Models

Paper • 2603.22570 • Published Mar 23 • 13

Rethinking Token-Level Policy Optimization for Multimodal Chain-of-Thought

Paper • 2603.22847 • Published Mar 24 • 26

CUA-Suite: Massive Human-annotated Video Demonstrations for Computer-Use Agents

Paper • 2603.24440 • Published Mar 25 • 99

MemMA: Coordinating the Memory Cycle through Multi-Agent Reasoning and In-Situ Self-Evolution

Paper • 2603.18718 • Published Mar 19 • 10

MuRF: Unlocking the Multi-Scale Potential of Vision Foundation Models

Paper • 2603.25744 • Published Mar 26 • 13

SpecEyes: Accelerating Agentic Multimodal LLMs via Speculative Perception and Planning

Paper • 2603.23483 • Published Mar 24 • 62

Qwen3-Coder-Next Technical Report

Paper • 2603.00729 • Published Feb 28 • 65

LongCat-Flash-Prover: Advancing Native Formal Reasoning via Agentic Tool-Integrated Reinforcement Learning

Paper • 2603.21065 • Published Mar 22 • 78

Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale

Paper • 2603.25040 • Published Mar 26 • 134

Mixture-of-Depths Attention

Paper • 2603.15619 • Published Mar 16 • 83

Look Where It Matters: High-Resolution Crops Retrieval for Efficient VLMs

Paper • 2603.16932 • Published Mar 14 • 91

Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders

Paper • 2603.06569 • Published Mar 6 • 120

OpenClaw-RL: Train Any Agent Simply by Talking

Paper • 2603.10165 • Published Mar 10 • 158

OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data

Paper • 2603.15594 • Published Mar 16 • 150