MLLM-as-a-Judge for Image Safety without Human Labeling
Paper
• 2501.00192 • Published
• 31
Papers to Read
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2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 109 -
Xmodel-2 Technical Report
Paper • 2412.19638 • Published • 27 -
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
Paper • 2412.18925 • Published • 107 -
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings
Paper • 2501.01257 • Published • 51 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 300 -
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Paper • 2501.09686 • Published • 41 -
PaSa: An LLM Agent for Comprehensive Academic Paper Search
Paper • 2501.10120 • Published • 54 -
GuardReasoner: Towards Reasoning-based LLM Safeguards
Paper • 2501.18492 • Published • 88 -
WILDCHAT-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training
Paper • 2501.18511 • Published • 20 -
LIMO: Less is More for Reasoning
Paper • 2502.03387 • Published • 62 -
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling
Paper • 2502.06703 • Published • 152 -
Expect the Unexpected: FailSafe Long Context QA for Finance
Paper • 2502.06329 • Published • 133 -
TextAtlas5M: A Large-scale Dataset for Dense Text Image Generation
Paper • 2502.07870 • Published • 45 -
LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!
Paper • 2502.07374 • Published • 40 -
Fino1: On the Transferability of Reasoning Enhanced LLMs to Finance
Paper • 2502.08127 • Published • 59 -
BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language Models
Paper • 2502.07346 • Published • 53 -
TransMLA: Multi-head Latent Attention Is All You Need
Paper • 2502.07864 • Published • 57 -
Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model
Paper • 2502.10248 • Published • 57 -
SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?
Paper • 2502.12115 • Published • 46 -
Magma: A Foundation Model for Multimodal AI Agents
Paper • 2502.13130 • Published • 58 -
Qwen2.5-VL Technical Report
Paper • 2502.13923 • Published • 214 -
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Paper • 2502.14499 • Published • 194 -
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
Paper • 2502.14786 • Published • 158 -
S*: Test Time Scaling for Code Generation
Paper • 2502.14382 • Published • 63 -
SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines
Paper • 2502.14739 • Published • 108 -
MM-Eureka: Exploring Visual Aha Moment with Rule-based Large-scale Reinforcement Learning
Paper • 2503.07365 • Published • 61 -
Token-Efficient Long Video Understanding for Multimodal LLMs
Paper • 2503.04130 • Published • 96 -
R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model
Paper • 2503.05132 • Published • 57 -
Visual-RFT: Visual Reinforcement Fine-Tuning
Paper • 2503.01785 • Published • 86 -
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Paper • 2503.01743 • Published • 89 -
LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL
Paper • 2503.07536 • Published • 88 -
Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast Asia
Paper • 2503.07920 • Published • 101 -
Unified Reward Model for Multimodal Understanding and Generation
Paper • 2503.05236 • Published • 123 -
Vamba: Understanding Hour-Long Videos with Hybrid Mamba-Transformers
Paper • 2503.11579 • Published • 21 -
GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing
Paper • 2503.10639 • Published • 53 -
R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization
Paper • 2503.10615 • Published • 17 -
VisualPRM: An Effective Process Reward Model for Multimodal Reasoning
Paper • 2503.10291 • Published • 36 -
MicroVQA: A Multimodal Reasoning Benchmark for Microscopy-Based Scientific Research
Paper • 2503.13399 • Published • 22 -
V-STaR: Benchmarking Video-LLMs on Video Spatio-Temporal Reasoning
Paper • 2503.11495 • Published • 14 -
VideoMind: A Chain-of-LoRA Agent for Long Video Reasoning
Paper • 2503.13444 • Published • 17 -
Creation-MMBench: Assessing Context-Aware Creative Intelligence in MLLM
Paper • 2503.14478 • Published • 48 -
DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding
Paper • 2503.12797 • Published • 32 -
DropletVideo: A Dataset and Approach to Explore Integral Spatio-Temporal Consistent Video Generation
Paper • 2503.06053 • Published • 138 -
TULIP: Towards Unified Language-Image Pretraining
Paper • 2503.15485 • Published • 49 -
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
Paper • 2503.16419 • Published • 77 -
Video-T1: Test-Time Scaling for Video Generation
Paper • 2503.18942 • Published • 90 -
Video SimpleQA: Towards Factuality Evaluation in Large Video Language Models
Paper • 2503.18923 • Published • 14 -
Reasoning to Learn from Latent Thoughts
Paper • 2503.18866 • Published • 13 -
LEGO-Puzzles: How Good Are MLLMs at Multi-Step Spatial Reasoning?
Paper • 2503.19990 • Published • 35 -
Qwen2.5-Omni Technical Report
Paper • 2503.20215 • Published • 170 -
Scaling Vision Pre-Training to 4K Resolution
Paper • 2503.19903 • Published • 41 -
CoLLM: A Large Language Model for Composed Image Retrieval
Paper • 2503.19910 • Published • 15 -
Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation
Paper • 2503.19622 • Published • 31 -
Long-Context Autoregressive Video Modeling with Next-Frame Prediction
Paper • 2503.19325 • Published • 73 -
MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding
Paper • 2503.13964 • Published • 20 -
Think Twice: Enhancing LLM Reasoning by Scaling Multi-round Test-time Thinking
Paper • 2503.19855 • Published • 29 -
CoMP: Continual Multimodal Pre-training for Vision Foundation Models
Paper • 2503.18931 • Published • 30 -
Defeating Prompt Injections by Design
Paper • 2503.18813 • Published • 24 -
Wan: Open and Advanced Large-Scale Video Generative Models
Paper • 2503.20314 • Published • 59 -
Gemini Robotics: Bringing AI into the Physical World
Paper • 2503.20020 • Published • 31 -
Video-R1: Reinforcing Video Reasoning in MLLMs
Paper • 2503.21776 • Published • 79 -
Large Language Model Agent: A Survey on Methodology, Applications and Challenges
Paper • 2503.21460 • Published • 83 -
ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition
Paper • 2503.21248 • Published • 21 -
Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks
Paper • 2503.21696 • Published • 23 -
A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond
Paper • 2503.21614 • Published • 43 -
Your ViT is Secretly an Image Segmentation Model
Paper • 2503.19108 • Published • 25 -
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models
Paper • 2503.24235 • Published • 54 -
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
Paper • 2503.24290 • Published • 62 -
RIG: Synergizing Reasoning and Imagination in End-to-End Generalist Policy
Paper • 2503.24388 • Published • 29 -
Any2Caption:Interpreting Any Condition to Caption for Controllable Video Generation
Paper • 2503.24379 • Published • 76 -
JudgeLRM: Large Reasoning Models as a Judge
Paper • 2504.00050 • Published • 62 -
Exploring the Effect of Reinforcement Learning on Video Understanding: Insights from SEED-Bench-R1
Paper • 2503.24376 • Published • 38 -
Open-Qwen2VL: Compute-Efficient Pre-Training of Fully-Open Multimodal LLMs on Academic Resources
Paper • 2504.00595 • Published • 37 -
Z1: Efficient Test-time Scaling with Code
Paper • 2504.00810 • Published • 26 -
Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models
Paper • 2503.24377 • Published • 18 -
Improved Visual-Spatial Reasoning via R1-Zero-Like Training
Paper • 2504.00883 • Published • 67 -
Understanding R1-Zero-Like Training: A Critical Perspective
Paper • 2503.20783 • Published • 59 -
PaperBench: Evaluating AI's Ability to Replicate AI Research
Paper • 2504.01848 • Published • 37 -
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
Paper • 2504.01990 • Published • 303 -
GPT-ImgEval: A Comprehensive Benchmark for Diagnosing GPT4o in Image Generation
Paper • 2504.02782 • Published • 57 -
Rethinking RL Scaling for Vision Language Models: A Transparent, From-Scratch Framework and Comprehensive Evaluation Scheme
Paper • 2504.02587 • Published • 32 -
MedSAM2: Segment Anything in 3D Medical Images and Videos
Paper • 2504.03600 • Published • 10 -
SmolVLM: Redefining small and efficient multimodal models
Paper • 2504.05299 • Published • 205 -
One-Minute Video Generation with Test-Time Training
Paper • 2504.05298 • Published • 110 -
Rethinking Reflection in Pre-Training
Paper • 2504.04022 • Published • 80 -
Why Reasoning Matters? A Survey of Advancements in Multimodal Reasoning (v1)
Paper • 2504.03151 • Published • 15 -
Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought
Paper • 2504.05599 • Published • 85 -
DDT: Decoupled Diffusion Transformer
Paper • 2504.05741 • Published • 77 -
OmniCaptioner: One Captioner to Rule Them All
Paper • 2504.07089 • Published • 20 -
VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning
Paper • 2504.06958 • Published • 13 -
Are We Done with Object-Centric Learning?
Paper • 2504.07092 • Published • 6 -
Kimi-VL Technical Report
Paper • 2504.07491 • Published • 137 -
DeepSeek-R1 Thoughtology: Let's <think> about LLM Reasoning
Paper • 2504.07128 • Published • 87 -
VCR-Bench: A Comprehensive Evaluation Framework for Video Chain-of-Thought Reasoning
Paper • 2504.07956 • Published • 46 -
MM-IFEngine: Towards Multimodal Instruction Following
Paper • 2504.07957 • Published • 35 -
Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model
Paper • 2504.08685 • Published • 130 -
GigaTok: Scaling Visual Tokenizers to 3 Billion Parameters for Autoregressive Image Generation
Paper • 2504.08736 • Published • 46 -
FUSION: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding
Paper • 2504.09925 • Published • 39 -
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Paper • 2504.10479 • Published • 306 -
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning
Paper • 2504.08837 • Published • 43 -
TinyLLaVA-Video-R1: Towards Smaller LMMs for Video Reasoning
Paper • 2504.09641 • Published • 16 -
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations
Paper • 2504.10481 • Published • 85 -
Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning
Paper • 2504.08672 • Published • 55 -
Pixel-SAIL: Single Transformer For Pixel-Grounded Understanding
Paper • 2504.10465 • Published • 27 -
Efficient Reasoning Models: A Survey
Paper • 2504.10903 • Published • 21 -
CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training
Paper • 2504.13161 • Published • 93 -
VistaDPO: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video Models
Paper • 2504.13122 • Published • 20 -
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Paper • 2504.11536 • Published • 63 -
ToolRL: Reward is All Tool Learning Needs
Paper • 2504.13958 • Published • 49 -
VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models
Paper • 2504.15279 • Published • 78 -
TTRL: Test-Time Reinforcement Learning
Paper • 2504.16084 • Published • 120 -
Describe Anything: Detailed Localized Image and Video Captioning
Paper • 2504.16072 • Published • 64 -
Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models
Paper • 2504.15271 • Published • 67 -
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
Paper • 2504.17192 • Published • 123 -
IV-Bench: A Benchmark for Image-Grounded Video Perception and Reasoning in Multimodal LLMs
Paper • 2504.15415 • Published • 23 -
The Bitter Lesson Learned from 2,000+ Multilingual Benchmarks
Paper • 2504.15521 • Published • 64 -
Reinforcement Learning for Reasoning in Large Language Models with One Training Example
Paper • 2504.20571 • Published • 98 -
R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning
Paper • 2505.02835 • Published • 28 -
RM-R1: Reward Modeling as Reasoning
Paper • 2505.02387 • Published • 81 -
T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT
Paper • 2505.00703 • Published • 44 -
100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models
Paper • 2505.00551 • Published • 36 -
Phi-4-Mini-Reasoning: Exploring the Limits of Small Reasoning Language Models in Math
Paper • 2504.21233 • Published • 49 -
Unified Multimodal Chain-of-Thought Reward Model through Reinforcement Fine-Tuning
Paper • 2505.03318 • Published • 92 -
Absolute Zero: Reinforced Self-play Reasoning with Zero Data
Paper • 2505.03335 • Published • 189 -
ZeroSearch: Incentivize the Search Capability of LLMs without Searching
Paper • 2505.04588 • Published • 65 -
When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs
Paper • 2505.11423 • Published -
NovelSeek: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification
Paper • 2505.16938 • Published • 121 -
Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning
Paper • 2505.15966 • Published • 53 -
Think or Not? Selective Reasoning via Reinforcement Learning for Vision-Language Models
Paper • 2505.16854 • Published • 11 -
GRIT: Teaching MLLMs to Think with Images
Paper • 2505.15879 • Published • 13 -
Reason-RFT: Reinforcement Fine-Tuning for Visual Reasoning
Paper • 2503.20752 • Published • 1 -
SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models
Paper • 2504.11468 • Published • 30 -
Visionary-R1: Mitigating Shortcuts in Visual Reasoning with Reinforcement Learning
Paper • 2505.14677 • Published • 15 -
Emerging Properties in Unified Multimodal Pretraining
Paper • 2505.14683 • Published • 133 -
UniVG-R1: Reasoning Guided Universal Visual Grounding with Reinforcement Learning
Paper • 2505.14231 • Published • 53 -
Visual Agentic Reinforcement Fine-Tuning
Paper • 2505.14246 • Published • 32 -
VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to Rank
Paper • 2505.14460 • Published • 33 -
GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning
Paper • 2505.11049 • Published • 61 -
Visual Planning: Let's Think Only with Images
Paper • 2505.11409 • Published • 57 -
OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning
Paper • 2505.08617 • Published • 42 -
Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models
Paper • 2505.10554 • Published • 120 -
BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset
Paper • 2505.09568 • Published • 99 -
DeCLIP: Decoupled Learning for Open-Vocabulary Dense Perception
Paper • 2505.04410 • Published • 44 -
Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging
Paper • 2505.05464 • Published • 11 -
Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models
Paper • 2505.04921 • Published • 186 -
Fin-R1: A Large Language Model for Financial Reasoning through Reinforcement Learning
Paper • 2503.16252 • Published • 30 -
Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence
Paper • 2505.23747 • Published • 69 -
Table-R1: Inference-Time Scaling for Table Reasoning
Paper • 2505.23621 • Published • 93 -
The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
Paper • 2505.22617 • Published • 131 -
FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian
Paper • 2505.22759 • Published • 19 -
D-AR: Diffusion via Autoregressive Models
Paper • 2505.23660 • Published • 34 -
Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding
Paper • 2505.22618 • Published • 45 -
Sherlock: Self-Correcting Reasoning in Vision-Language Models
Paper • 2505.22651 • Published • 48 -
Skywork Open Reasoner 1 Technical Report
Paper • 2505.22312 • Published • 54 -
Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO
Paper • 2505.22453 • Published • 46 -
Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start
Paper • 2505.22334 • Published • 36 -
MME-Reasoning: A Comprehensive Benchmark for Logical Reasoning in MLLMs
Paper • 2505.21327 • Published • 83 -
Paper2Poster: Towards Multimodal Poster Automation from Scientific Papers
Paper • 2505.21497 • Published • 109 -
ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows
Paper • 2505.19897 • Published • 104 -
MMMR: Benchmarking Massive Multi-Modal Reasoning Tasks
Paper • 2505.16459 • Published • 45 -
BizFinBench: A Business-Driven Real-World Financial Benchmark for Evaluating LLMs
Paper • 2505.19457 • Published • 64 -
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Paper • 2505.17667 • Published • 88 -
One RL to See Them All: Visual Triple Unified Reinforcement Learning
Paper • 2505.18129 • Published • 62 -
Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning
Paper • 2505.16410 • Published • 58 -
MiMo-VL Technical Report
Paper • 2506.03569 • Published • 80 -
Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning
Paper • 2506.04207 • Published • 48 -
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 277 -
VS-Bench: Evaluating VLMs for Strategic Reasoning and Decision-Making in Multi-Agent Environments
Paper • 2506.02387 • Published • 58 -
FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation
Paper • 2505.24714 • Published • 37 -
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI
Paper • 2505.19443 • Published • 15 -
RoboRefer: Towards Spatial Referring with Reasoning in Vision-Language Models for Robotics
Paper • 2506.04308 • Published • 43 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 263 -
RuleReasoner: Reinforced Rule-based Reasoning via Domain-aware Dynamic Sampling
Paper • 2506.08672 • Published • 30 -
Geopolitical biases in LLMs: what are the "good" and the "bad" countries according to contemporary language models
Paper • 2506.06751 • Published • 71 -
ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning
Paper • 2506.09513 • Published • 102 -
Scientists' First Exam: Probing Cognitive Abilities of MLLM via Perception, Understanding, and Reasoning
Paper • 2506.10521 • Published • 73 -
MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation
Paper • 2506.14028 • Published • 93 -
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Paper • 2506.09985 • Published • 31 -
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
Paper • 2506.16406 • Published • 131 -
Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models
Paper • 2506.06395 • Published • 133 -
Vision Matters: Simple Visual Perturbations Can Boost Multimodal Math Reasoning
Paper • 2506.09736 • Published • 9 -
ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark
Paper • 2506.10960 • Published • 12 -
Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning
Paper • 2507.00432 • Published • 79 -
BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset
Paper • 2507.03483 • Published • 24 -
Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers
Paper • 2506.23918 • Published • 90 -
MemOS: A Memory OS for AI System
Paper • 2507.03724 • Published • 159 -
Scaling RL to Long Videos
Paper • 2507.07966 • Published • 160 -
Vision-Language-Vision Auto-Encoder: Scalable Knowledge Distillation from Diffusion Models
Paper • 2507.07104 • Published • 46 -
Open Vision Reasoner: Transferring Linguistic Cognitive Behavior for Visual Reasoning
Paper • 2507.05255 • Published • 75 -
Vision Foundation Models as Effective Visual Tokenizers for Autoregressive Image Generation
Paper • 2507.08441 • Published • 62 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 261 -
VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning
Paper • 2507.13348 • Published • 79 -
ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning
Paper • 2507.16815 • Published • 42 -
MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization
Paper • 2507.14683 • Published • 134 -
Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning
Paper • 2507.16746 • Published • 34 -
Beyond Context Limits: Subconscious Threads for Long-Horizon Reasoning
Paper • 2507.16784 • Published • 122 -
VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning
Paper • 2507.22607 • Published • 47 -
A Survey of Self-Evolving Agents: On Path to Artificial Super Intelligence
Paper • 2507.21046 • Published • 84 -
Agentic Reinforced Policy Optimization
Paper • 2507.19849 • Published • 158 -
SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment
Paper • 2507.20984 • Published • 58 -
Group Sequence Policy Optimization
Paper • 2507.18071 • Published • 317 -
Captain Cinema: Towards Short Movie Generation
Paper • 2507.18634 • Published • 42 -
MegaScience: Pushing the Frontiers of Post-Training Datasets for Science Reasoning
Paper • 2507.16812 • Published • 63 -
Intern-S1: A Scientific Multimodal Foundation Model
Paper • 2508.15763 • Published • 269 -
A Survey on Large Language Model Benchmarks
Paper • 2508.15361 • Published • 20 -
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 98 -
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Paper • 2508.06471 • Published • 206