Category: Large Language Models

• Llama Paper Authors "Flee," Only 3 Remaining from 14-Person Team, French Unicorn Mistral Becomes the Biggest Winner
• Prolonged Reasoning ≠ High Accuracy! Adaptive Switching Between 'Quick Response' and 'In-depth Thought': A Win-Win Philosophy for Token Saving and Accuracy Improvement
• ICML 2025 | Bursting the AI Bubble with 'Human Testing Methods': Building a Capability-Oriented Adaptive Assessment New Paradigm
• Alibaba Open-Sources New Qwen Model: A Dragon Boat Festival Gift!
• ICML 2025 | Fast and Powerful Liger! Transformer Instantly Switches to Linear RNN with only 20M Token Fine-tuning
• Can LLMs Understand Math? Latest Research Reveals Fatal Flaws in Large Models' Mathematical Reasoning
• How She Brought "System 2" to Large Language Models | An Interview with Dr. Li Zhang from Microsoft Research Asia
• 312 Trajectories Boost Performance by 241%! SJTU and SII Open-Source Computer Agent Surpasses Claude 3.7
• Historic First! o3 Finds Linux Kernel Zero-Day Vulnerability, Uncovered After 100 Scans of 12,000 Lines of Code, No Tools Required
• Statistically Controllable Data Synthesis! New Framework Breaks LLM Data Generation Limitations, McGill University Team Launches LLMSynthor
• Deep Dive | Interview with Character.AI CEO: The Best Applications Haven't Been Invented Yet, AI Field is Like Alchemy, Nobody Knows Exactly What Will Work
• The Smarter AI Gets, The Less Obedient It Becomes! New Study: Strongest Reasoning Models Only Follow Instructions 50% of the Time
• Breaking the Chain-of-Thought Reasoning Bottleneck! "Soft Thinking" Enables LLMs to Learn Human Abstract Abilities, with Reduced Token Usage
• How Does Claude 4 Think? Senior Researchers Respond: RLHF Paradigm is Out, RLVR Proven in Programming/Mathematics
• Interpretation of Seed1.5-VL Technical Report
• Train a Tiny LLM from Scratch for Just ¥8 in 9 Hours! Full Tutorial Including Reasoning, MoE, and More
• Gemini Diffusion: 1500 tokens/sec, Lightning Fast!
• More Capable Than Gemini Diffusion! The First Multimodal Large Diffusion Language Model MMaDA Released, Achieving Strong Reasoning and High Controllability
• Does AI Know When to "Think"? Thinkless Teaches Large Language Models When to Reason
• ICML 2025 | Training-Free, Instant Alignment of Large Model Preferences
• Google | Tracing RAG System Errors: Proposing a Selective Generation Framework to Boost RAG Accuracy by 10%
• Multimodal Large Models Collectively Fail, GPT-4o Only 50% Safety Pass Rate: SIUO Reveals Cross-Modal Safety Blind Spots
• Nature Sub-journal: Humans Lost to AI Again, Especially When It Knows Who You Are
• Which Model Should a Reliable Agent Use? The "Lost in Conversation" Phenomenon in LLM Multi-turn Dialogues | Microsoft Latest
• When Thinking Becomes a Burden: Unveiling the "Thinking Traps" of Large Language Models