Trending Research
s1: Simple test-time scaling
simplescaling/s1
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After supervised finetuning the Qwen2. 5-32B-Instruct language model on s1K and equipping it with budget forcing, our model s1-32B exceeds o1-preview on competition math questions by up to 27% (MATH and AIME24).
Ranked #4 on
Mathematical Reasoning
on AIME24
Flaming-hot Initiation with Regular Execution Sampling for Large Language Models
volcengine/verl
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Since the release of ChatGPT, large language models (LLMs) have demonstrated remarkable capabilities across various domains.
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
qwenlm/qwen2-vl
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We present the Qwen2-VL Series, an advanced upgrade of the previous Qwen-VL models that redefines the conventional predetermined-resolution approach in visual processing.
Ranked #3 on
Video Question Answering
on TVBench
Natural Language Visual Grounding
Temporal Relation Extraction
+2
DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding
We present DeepSeek-VL2, an advanced series of large Mixture-of-Experts (MoE) Vision-Language Models that significantly improves upon its predecessor, DeepSeek-VL, through two key major upgrades.
Ranked #1 on
Referring Expression Comprehension
on RefCOCOg-test
Qwen2.5 Technical Report
qwenlm/qwen2.5
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In addition, for hosted solutions, the proprietary models currently include two mixture-of-experts (MoE) variants: Qwen2. 5-Turbo and Qwen2. 5-Plus, both available from Alibaba Cloud Model Studio.
Ranked #6 on
on GPQA
Qwen2 Technical Report
qwenlm/qwen2
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This report introduces the Qwen2 series, the latest addition to our large language models and large multimodal models.
Ranked #1 on
Arithmetic Reasoning
on GSM8K
(using extra training data)
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
deepseek-ai/deepseek-coder-v2
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Through this continued pre-training, DeepSeek-Coder-V2 substantially enhances the coding and mathematical reasoning capabilities of DeepSeek-V2, while maintaining comparable performance in general language tasks.
IntellAgent: A Multi-Agent Framework for Evaluating Conversational AI Systems
IntellAgent represents a paradigm shift in evaluating conversational AI.
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1.
Ranked #1 on
Mathematical Reasoning
on AIME24
Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling
In this work, we introduce Janus-Pro, an advanced version of the previous work Janus.
