1. Small Language Models are the Future of Agentic AI This position paper argues that small language models (SLMs), defined as those runnable on consumer-grade hardware, are not only sufficient but superior for many agentic AI applications.
@dair_ai
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Top AI Papers of the Week: Agents and LLM Research
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Top AI Papers of The Week (June 30 – July 6): – xLSTMAD
– AI4Research
– Deep Research Agents
– SLMs are the Future of Agentic AI
– Chain-of-Thought Is Not Explainability
– Survey on Evaluation of LLM-based Agents Read on for more: -
PEVA: Egocentric Video Prediction from 3D Body Motion
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10. Whole-Body Conditioned Egocentric Video Prediction
— DAIR.AI (@dair_ai) 29 juin 2025
This paper introduces PEVA, a conditional diffusion transformer that predicts egocentric video conditioned on 3D human body motion.https://t.co/CnDXcQHUqy10. Whole-Body Conditioned Egocentric Prediction This paper introduces PEVA, a conditional diffusion transformer that predicts egocentric video conditioned on 3D human body motion.
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Security in LLM-Driven Agent Communication Protocols
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8. AI Agent Communication Protocols Presents the first comprehensive survey on security in LLM-driven agent communication, categorizing it into three stages: user-agent interaction, agent-agent communication, and agent-environment communication.
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Diffusion Steering via Reinforcement Learning for Policy Adaptation
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9. Diffusion Steering via RL
— DAIR.AI (@dair_ai) 29 juin 2025
This paper introduces Diffusion Steering via Reinforcement Learning (DSRL), a method for adapting pretrained diffusion policies by learning in their latent-noise space instead of finetuning model weights.https://t.co/qDZKfUIIGv9. Diffusion Steering via RL This paper introduces Diffusion Steering via Reinforcement Learning (DSRL), a method for adapting pretrained diffusion policies by learning in their latent-noise space instead of finetuning model weights.
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Anthropic Studies Emotional Support Seeking in Claude Conversations
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7. Claude for Affective Use Anthropic presents the first large-scale study of how users seek emotional support from its Claude assistant, analyzing over 4.5 million conversations.
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DeepRare: LLM Agentic System for Rare Disease Diagnosis
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5. DeepRare Introduces DeepRare, a modular agentic system powered by LLMs to aid rare disease diagnosis from multimodal clinical inputs (text, HPO terms, VCFs).
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Google DeepMind Introduces AlphaGenome for Genetic Variant Prediction
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6. AlphaGenome
— DAIR.AI (@dair_ai) 29 juin 2025
Google DeepMind introduces AlphaGenome, a powerful AI model designed to predict how genetic variants affect gene regulation by modeling up to 1 million DNA base pairs at single-base resolution.https://t.co/Ee0aMsvVT66. AlphaGenome Google DeepMind introduces AlphaGenome, a powerful AI model designed to predict how genetic variants affect gene regulation by modeling up to 1 million DNA base pairs at single-base resolution.
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Multi-Agent System for Advanced AI Search Tasks
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3. Towards AI Search Paradigm Proposes a modular multi-agent system that reimagines how AI handles complex search tasks, aiming to emulate human-like reasoning and information synthesis.
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Reinforcement Learning Teachers Optimize Student Model Learning
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4. Reinforcement-Learned Teachers of Test Time Scaling
— DAIR.AI (@dair_ai) 29 juin 2025
Introduces efficient LMs trained with RL not to solve problems from scratch, but to generate high-quality explanations that help downstream student models learn better.https://t.co/8a6kcI1Fdu4. Reinforcement-Learned Teachers of Test Time Scaling Introduces efficient LMs trained with RL not to solve problems from scratch, but to generate high-quality explanations that help downstream student models learn better.