Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
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2504.01990
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Ajith V Prabhakar
ajithprabhakar
AI & ML interests
NLP, Responsible AI, Generative AI
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Advances and Challenges in Foundation Agents: From Brain-Inspired
Intelligence to Evolutionary, Collaborative, and Safe Systems
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9 days ago
ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large
Reasoning Models with Iterative Retrieval Augmented Generation
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START: Self-taught Reasoner with Tools
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ajithprabhakar's activity
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Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention
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2502.11089
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Expect the Unexpected: FailSafe Long Context QA for Finance
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2502.06329
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Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
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2502.05171
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SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model
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2502.02737
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Qwen2.5-1M Technical Report
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2501.15383
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Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
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2501.15228
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DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
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2501.12948
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