Identifying the strategic uses of reformulation in discourse remains a key challenge for computational argumentation. While LLMs can detect surface-level similarity, they often fail to capture the pragmatic functions of rephrasing, such as its role w...
Nerve agents, sometimes also called nerve gases, are a class of organic chemicals that disrupt the mechanisms by which nerves transfer messages to organs
TradingAgents: Multi-Agents LLM Financial Trading Framework (⭐ 31519)
TRIZ, the Theory of Inventive Problem Solving, is a structured, knowledge-based framework for innovation and abstracting problems to find inventive solutions. However, its application is often limited by the complexity and deep interdisciplinary know...
Bollocks I’ve been doing the plan develop cycle very wrong and writing code from the main context :-( Originally workflow went something like; start a planning session, discuss feature/bug/user sto...
I haven’t bought any reps since 2024 when I did a 7kg Pandabuy haul and they got raided, sort of been a bit scared to since but I’m looking to get more reps and I’m out of the loop with the best...
Just came across this thought-provoking article on X, it really hit hard about how fast AI is moving right now, so I wanted to share it here! \*\*\* Think back to February 2020. If you were paying...
Comparion is an independent insurance agency and comparison service that shops multiple carriers to find policies for customers, not a direct insurance carrier. We work with licensed agents to compare …
The Agentic Commerce Protocol (ACP) is an interaction model and open standard for connecting buyers, their AI agents, and businesses to complete purchases seamlessly. The specification is currently maintained by OpenAI and Stripe. (⭐ 1241)
Designing effective task sequences is crucial for curriculum reinforcement learning (CRL), where agents must gradually acquire skills by training on intermediate tasks. A key challenge in CRL is to identify tasks that promote exploration, yet are sim...
Hyperparameters are a critical factor in reliably training well-performing reinforcement learning (RL) agents. Unfortunately, developing and evaluating automated approaches for tuning such hyperparameters is both costly and time-consuming. As a resul...
Check out in seconds when you use Link to autofill your payment details. Easily store and switch between your cards, banks, and buy now, pay later across devices, browsers, and AI agents. Your …
played any role in the abduction; however, Italian prosecutors Armando Spataro and Ferdinand Enrico Pomarici indicted 26 CIA agents, including the Rome
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In this paper, we investigate whether artificial agents can develop a shared language in an ecological setting where communication relies on a sensory-motor channel. To this end, we introduce the Graphical Referential Game (GREG) where a speaker must...
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Political realism aims to describe the interaction of agents involved in struggles for political power. This article formulates realism in terms of quantitative postulates that depict political power as a fluid-like substance flowing through a networ...
Rode past the Kroger on Terry and greenwood rd this morning around 9 am. A bunch of undercover agents and cars (assuming ICE) along with some sheriffs all rallying there, probably 25-30 vehicles in to...
Recent advances in large language models (LLMs) have shown great potential to accelerate drug discovery. However, the specialized nature of biochemical data often necessitates costly domain-specific fine-tuning, posing major challenges. First, it hin...