Autonomous agents, tool use, and agentic systems
Wondering if it worth submitting paper I’m working on to NeurIPS. I have formal mathematical proof for convergence of a novel agentic sys...
Measured the actual token waste on a local Qwen 3.5 122B setup. The numbers are unreal. Found a compile-time approach that cuts query con...
The viral AI agentic tool let attackers silently gain admin unauthenticated access.
![[2602.20639] Grounding LLMs in Scientific Discovery via Embodied Actions](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
The paper presents EmbodiedAct, a framework that enhances Large Language Models (LLMs) by grounding them in embodied actions for scientif...
The paper discusses a method for identifying two piecewise linear additive value functions from anonymous preference information, enhanci...
This paper explores the challenges of ensuring safety in AI systems using untrusted monitoring. It develops a taxonomy of collusion strat...
The CausalReasoningBenchmark introduces a new framework for evaluating automated causal inference, distinguishing between identification ...
The paper presents MIMIC, a framework that enhances human-AI coordination by using inner speech to guide behavior imitation in artificial...
The paper presents ActionEngine, a novel framework that enhances GUI agents by transitioning from reactive execution to programmatic plan...
The paper introduces KairosVL, a novel framework that enhances time series analysis by integrating semantic reasoning, achieving competit...
The paper introduces PreScience, a benchmark for forecasting scientific contributions using AI. It evaluates four generative tasks relate...
This paper presents Trace-Free+, a curriculum learning framework designed to enhance the quality of tool interfaces for LLM-based agents,...
The paper presents an evaluation framework called Implicit Intelligence, which assesses AI agents' ability to understand unstated user re...
The paper presents a novel approach, Diffusion Modulation via Environment Mechanism Modeling (DMEMM), to enhance trajectory generation in...
The DMCD framework integrates LLM-based semantic drafting with statistical validation for causal discovery, enhancing performance across ...
The article discusses the importance of knowledge in maximizing the creative potential of AI tools, suggesting that informed users will a...
The article discusses the integration of AI into Linux shell commands, suggesting that AI can enhance user experience by simplifying comp...
Uber engineers have developed an AI chatbot modeled after CEO Dara Khosrowshahi to enhance their presentation preparation, reflecting the...
Anthropic predicts that recursive self-improvement (RSI) in AI could be realized as early as 2027, highlighting significant advancements ...
MIT and Microsoft researchers have developed AI-designed molecular sensors that can detect early cancer signs through urine tests, enhanc...
Charlie Lieu's work with Darwin's Ark leverages big data to enhance pet genetics research, improving understanding of health and behavior...
Hegseth urges Anthropic to allow military access to its AI technology, emphasizing the importance of defense applications in AI development.
The article discusses the potential for artificial intelligence to understand sexual orientation more quickly than human researchers, rai...
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