FlowReasoner: How AI is Reinventing Multi-Agent Systems for Every Query
The Rise of Query-Level AI Agents
Large language models (LLMs) have become the backbone of modern AI applications, powering everything
Breaking the Creative Limits of AI: How Next-Token Prediction Falls Short in Open-Ended Tasks
Artificial intelligence has made staggering progress in recent years, particularly in language modeling. But when it comes to tasks requiring
Stop Summation: How Min-Form Credit Assignment Solves Reward Hacking in AI Reasoning
The Problem with Process Reward Models
Large Language Models (LLMs) have shown promise in tackling complex reasoning tasks, but fine-tuning
MIG: How AI is Revolutionizing Data Selection for Instruction Tuning
The Problem with Instruction Tuning Datasets
Large Language Models (LLMs) have become incredibly adept at following human instructions, thanks to
Not All Rollouts Are Created Equal: How PODS Makes AI Training Faster and Smarter
Reinforcement learning (RL) has become a go-to method for supercharging large language models (LLMs) in reasoning tasks—think math problems,
Does Reinforcement Learning Really Expand LLM Reasoning Beyond Base Models?
Reinforcement Learning with Verifiable Rewards (RLVR) has been hailed as a breakthrough for enhancing reasoning in large language models (LLMs)
MIB: A Mechanistic Interpretability Benchmark for Business AI
The field of mechanistic interpretability (MI) is rapidly advancing, but how do we know if new methods actually improve our
Sleep-time Compute: How Offline Thinking Can Revolutionize AI Efficiency in Business
Large language models (LLMs) have become indispensable tools for businesses, but their high latency and computational costs at inference time
Beyond Transformers: How Miras is Redefining Sequence Models with Attentional Bias and Retention Gates
In a groundbreaking paper titled It’s All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization,
PerceptionLM: A Fully Open and Reproducible Framework for Detailed Visual Understanding
Vision-language models (VLMs) are now a cornerstone of computer vision research, widely used in both academia and industry. However, many
