Scaling Law for Quantization-Aware Training
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2505.14302
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Published
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76
AI
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Reward Reasoning Model
Paper • 2505.14674 • Published • 37 -
Qwen3 Technical Report
Paper • 2505.09388 • Published • 320 -
AdaptThink: Reasoning Models Can Learn When to Think
Paper • 2505.13417 • Published • 83 -
Thinkless: LLM Learns When to Think
Paper • 2505.13379 • Published • 50 -
Absolute Zero: Reinforced Self-play Reasoning with Zero Data
Paper • 2505.03335 • Published • 188 -
Seed1.5-VL Technical Report
Paper • 2505.07062 • Published • 154 -
MiniMax-Speech: Intrinsic Zero-Shot Text-to-Speech with a Learnable Speaker Encoder
Paper • 2505.07916 • Published • 134 -
Chain-of-Model Learning for Language Model
Paper • 2505.11820 • Published • 121 -
Emerging Properties in Unified Multimodal Pretraining
Paper • 2505.14683 • Published • 133 -
Parallel Scaling Law for Language Models
Paper • 2505.10475 • Published • 83 -
Flow-GRPO: Training Flow Matching Models via Online RL
Paper • 2505.05470 • Published • 86 -
RM-R1: Reward Modeling as Reasoning
Paper • 2505.02387 • Published • 79 -
ZeroSearch: Incentivize the Search Capability of LLMs without Searching
Paper • 2505.04588 • Published • 65 -
Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models
Paper • 2505.14810 • Published • 62 -
Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space
Paper • 2505.15778 • Published • 18 -
NovelSeek: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification
Paper • 2505.16938 • Published • 120 -
Learning to Reason via Mixture-of-Thought for Logical Reasoning
Paper • 2505.15817 • Published • 18 -
One RL to See Them All: Visual Triple Unified Reinforcement Learning
Paper • 2505.18129 • Published • 61 -
MemOS: A Memory OS for AI System
Paper • 2507.03724 • Published • 157 -
4KAgent: Agentic Any Image to 4K Super-Resolution
Paper • 2507.07105 • Published • 105 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 259