How do you keep reinforcement learning for large reasoning models from stalling on a few very long, …
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MIT and NUS Researchers Introduce MEM1: A Memory-Efficient Framework for Long-Horizon Language Agents
by Techaiappby Techaiapp 4 minutes readModern language agents need to handle multi-turn conversations, retrieving and updating information as tasks evolve. However, most …
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Researchers from Princeton University Introduce Metadata Conditioning then Cooldown (MeCo) to Simplify and Optimize Language Model Pre-training
by Techaiappby Techaiapp 4 minutes readThe pre-training of language models (LMs) plays a crucial role in enabling their ability to understand and …
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JetBrains Researchers Introduce CoqPilot: A Plugin for LLM-Based Generation of Proofs
by Techaiappby Techaiapp 4 minutes readIn recent years, formal software verification has gained prominence, especially in fields where software reliability is critical, …
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Google Researchers Introduce UNBOUNDED: An Interactive Generative Infinite Game based on Generative AI Models
by Techaiappby Techaiapp 3 minutes readGames can be thought of as either finite or infinite. Finite games are structured around achieving a …
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NVIDIA Researchers Introduce Order-Preserving Retrieval-Augmented Generation (OP-RAG) for Enhanced Long-Context Question Answering with Large Language Models (LLMs)
by Techaiappby Techaiapp 4 minutes readRetrieval-augmented generation (RAG), a technique that enhances the efficiency of large language models (LLMs) in handling extensive …
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Google DeepMind and Isomorphic Labs introduce AlphaFold 3 AI model
by Techaiappby Techaiapp 1 minutes readInside every plant, animal and human cell are billions of molecular machines. They’re made up of proteins, …
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NVIDIA Researchers Introduce Order-Preserving Retrieval-Augmented Generation (OP-RAG) for Enhanced Long-Context Question Answering with Large Language Models (LLMs)
by Techaiappby Techaiapp 4 minutes readRetrieval-augmented generation (RAG), a technique that enhances the efficiency of large language models (LLMs) in handling extensive …
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TECH
MIT Researchers Introduce Stochastic Quantum Signal Processing (QSP) as a Randomly-Compiled Version of QSP, and Reduce the Cost of QSP-based Algorithms by a Factor of 1/2
by Techaiappby Techaiapp 4 minutes readClassical randomness has emerged as an important tool in addressing the challenge of designing quantum protocols and …