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ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Probabilistic Abstract Interpretation on Neural Networks via Grids Approximation
arXiv:2603.25266v1 Announce Type: new Abstract: Probabilistic abstract interpretation is a theory used to extract particular properties of a computer program wh
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 1w ago
Distribution and Clusters Approximations as Abstract Domains in Probabilistic Abstract Interpretation to Neural Network Analysis
arXiv:2603.25273v1 Announce Type: new Abstract: The probabilistic abstract interpretation framework of neural network analysis analyzes a neural network by anal
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 1w ago
A Gait Foundation Model Predicts Multi-System Health Phenotypes from 3D Skeletal Motion
arXiv:2603.25283v1 Announce Type: new Abstract: Gait is increasingly recognized as a vital sign, yet current approaches treat it as a symptom of specific pathol
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
SliderQuant: Accurate Post-Training Quantization for LLMs
arXiv:2603.25284v1 Announce Type: new Abstract: In this paper, we address post-training quantization (PTQ) for large language models (LLMs) from an overlooked p
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 1w ago
DAGverse: Building Document-Grounded Semantic DAGs from Scientific Papers
arXiv:2603.25293v1 Announce Type: new Abstract: Directed Acyclic Graphs (DAGs) are widely used to represent structured knowledge in scientific and technical dom
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Evaluating Language Models for Harmful Manipulation
arXiv:2603.25326v1 Announce Type: new Abstract: Interest in the concept of AI-driven harmful manipulation is growing, yet current approaches to evaluating it ar
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Macroscopic Characteristics of Mixed Traffic Flow with Deep Reinforcement Learning Based Automated and Human-Driven Vehicles
arXiv:2603.25328v1 Announce Type: new Abstract: Automated Vehicle (AV) control in mixed traffic, where AVs coexist with human-driven vehicles, poses significant
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Agentic Trust Coordination for Federated Learning through Adaptive Thresholding and Autonomous Decision Making in Sustainable and Resilient Industrial Networks
arXiv:2603.25334v1 Announce Type: new Abstract: Distributed intelligence in industrial networks increasingly integrates sensing, communication, and computation
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
4OPS: Structural Difficulty Modeling in Integer Arithmetic Puzzles
arXiv:2603.25356v1 Announce Type: new Abstract: Arithmetic puzzle games provide a controlled setting for studying difficulty in mathematical reasoning tasks, a
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 1w ago
Does Structured Intent Representation Generalize? A Cross-Language, Cross-Model Empirical Study of 5W3H Prompting
arXiv:2603.25379v1 Announce Type: new Abstract: Does structured intent representation generalize across languages and models? We study PPS (Prompt Protocol Spec
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models
arXiv:2603.25412v1 Announce Type: new Abstract: Large language models (LLMs) increasingly rely on explicit chain-of-thought (CoT) reasoning to solve complex tas
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Modernising Reinforcement Learning-Based Navigation for Embodied Semantic Scene Graph Generation
arXiv:2603.25415v1 Announce Type: new Abstract: Semantic world models enable embodied agents to reason about objects, relations, and spatial context beyond pure
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Cross-Model Disagreement as a Label-Free Correctness Signal
arXiv:2603.25450v1 Announce Type: new Abstract: Detecting when a language model is wrong without ground truth labels is a fundamental challenge for safe deploym
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Retraining as Approximate Bayesian Inference
arXiv:2603.25480v1 Announce Type: new Abstract: Model retraining is usually treated as an ongoing maintenance task. But as Harrison Katz now argues, retraining
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
EcoThink: A Green Adaptive Inference Framework for Sustainable and Accessible Agents
arXiv:2603.25498v1 Announce Type: new Abstract: As the Web transitions from static retrieval to generative interaction, the escalating environmental footprint o
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 1w ago
Voxtral TTS
arXiv:2603.25551v1 Announce Type: new Abstract: We introduce Voxtral TTS, an expressive multilingual text-to-speech model that generates natural speech from as
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Is Mathematical Problem-Solving Expertise in Large Language Models Associated with Assessment Performance?
arXiv:2603.25633v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly used in math education not only as problem solvers but also as ass
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 1w ago
Agent Factories for High Level Synthesis: How Far Can General-Purpose Coding Agents Go in Hardware Optimization?
arXiv:2603.25719v1 Announce Type: new Abstract: We present an empirical study of how far general-purpose coding agents -- without hardware-specific training --
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
R-C2: Cycle-Consistent Reinforcement Learning Improves Multimodal Reasoning
arXiv:2603.25720v1 Announce Type: new Abstract: Robust perception and reasoning require consistency across sensory modalities. Yet current multimodal models oft
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Back to Basics: Revisiting ASR in the Age of Voice Agents
arXiv:2603.25727v1 Announce Type: new Abstract: Automatic speech recognition (ASR) systems have achieved near-human accuracy on curated benchmarks, yet still fa