9. A Survey of Efficient LLM Inference Serving This survey reviews recent advancements in optimizing LLM inference, addressing memory and computational bottlenecks.
@dair_ai
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MAGI: Multi-Agent System Automates Structured Psychiatric Interviews
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8. MAGI MAGI is a multi-agent system designed to automate structured psychiatric interviews by operationalizing the MINI (Mini International Neuropsychiatric Interview) protocol.
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Foundation Agents: Brain-Inspired Architecture Survey
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7. Advances and Challenges in Foundation Agents A new survey frames intelligent agents with a modular, brain-inspired architecture that integrates ideas from cognitive science, neuroscience, and computational research.
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Xiaomi Releases MiMo-7B Language Model for Advanced Reasoning Tasks
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6. MiMo-7B Xiaomi releases MiMo-7B, a new language model for reasoning tasks. MiMo-7B is explicitly designed for advanced reasoning across math and code.
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Kimi-Audio: Open-Source Foundation Model for Audio Understanding
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5. Kimi-Audio Kimi-Audio is a new open-source audio foundation model built for universal audio understanding, generation, and speech conversation.
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Microsoft Releases Phi-4-Mini-Reasoning for Mathematical Problem Solving
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1. Phi-4-Mini-Reasoning Microsoft released Phi-4-Mini-Reasoning to explore small reasoning language models for math.
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Top AI Papers of the Week: April 28 – May 4
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Here are the top AI Papers of the Week (April 28 – May 4): – Kimi-Audio
– UniversalRAG
– LLM for Engineering
– DeepSeek-Prover-V2
– Phi-4-Mini-Reasoning
– Advances and Challenges in Foundation Agents Read on for more: -
Tiny Reasoning Models: 1.5B Parameter Tina Family
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10. Tiny Reasoning Models Tina is a family of 1.5B parameter reasoning models trained using LoRA-based reinforcement learning (RL) to achieve high reasoning accuracy at very low cost.
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General-Reasoner: Reinforcement Learning Boosts LLM Reasoning
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9. General-Reasoner General-Reasoner is a reinforcement learning approach that boosts LLM reasoning across diverse domains by using a 230K-question dataset and a model-based verifier trained to understand semantics beyond exact matches.
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Assessing LLM Goal-Directedness: New Evaluation Framework
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8. Evaluate the Goal-Directedness of LLMs Introduces a new framework to assess whether LLMs use their capabilities effectively toward achieving given goals.