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All ⚡ AI Lessons (5636) ArXiv cs.AIOpenAI NewsForbes InnovationHugging Face BlogDev.to AIHackernoon
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
DIAL-KG: Schema-Free Incremental Knowledge Graph Construction via Dynamic Schema Induction and Evolution-Intent Assessment
arXiv:2603.20059v1 Announce Type: new Abstract: Knowledge Graphs (KGs) are foundational to applications such as search, question answering, and recommendation.
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Pitfalls in Evaluating Interpretability Agents
arXiv:2603.20101v1 Announce Type: new Abstract: Automated interpretability systems aim to reduce the need for human labor and scale analysis to increasingly lar
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Learning Dynamic Belief Graphs for Theory-of-mind Reasoning
arXiv:2603.20170v1 Announce Type: new Abstract: Theory of Mind (ToM) reasoning with Large Language Models (LLMs) requires inferring how people's implicit, evolv
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Grounded Multimodal Retrieval-Augmented Drafting of Radiology Impressions Using Case-Based Similarity Search
arXiv:2603.17765v1 Announce Type: cross Abstract: Automated radiology report generation has gained increasing attention with the rise of deep learning and large
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
L-PRISMA: An Extension of PRISMA in the Era of Generative Artificial Intelligence (GenAI)
arXiv:2603.19236v1 Announce Type: cross Abstract: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework provides a rigorous
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
When Prompt Optimization Becomes Jailbreaking: Adaptive Red-Teaming of Large Language Models
arXiv:2603.19247v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly integrated into high-stakes applications, making robust safety g
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
DuCCAE: A Hybrid Engine for Immersive Conversation via Collaboration, Augmentation, and Evolution
arXiv:2603.19248v1 Announce Type: cross Abstract: Immersive conversational systems in production face a persistent trade-off between responsiveness and long-hor
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
GeoChallenge: A Multi-Answer Multiple-Choice Benchmark for Geometric Reasoning with Diagrams
arXiv:2603.19252v1 Announce Type: cross Abstract: Evaluating the symbolic reasoning of large language models (LLMs) calls for geometry benchmarks that require m
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
A comprehensive study of LLM-based argument classification: from Llama through DeepSeek to GPT-5.2
arXiv:2603.19253v1 Announce Type: cross Abstract: Argument mining (AM) is an interdisciplinary research field focused on the automatic identification and classi
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
LARFT: Closing the Cognition-Action Gap for Length Instruction Following in Large Language Models
arXiv:2603.19255v1 Announce Type: cross Abstract: Despite the strong performance of Large Language Models (LLMs) on complex instruction-following tasks, precise
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
MAPLE: Metadata Augmented Private Language Evolution
arXiv:2603.19258v1 Announce Type: cross Abstract: While differentially private (DP) fine-tuning of large language models (LLMs) is a powerful tool, it is often
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 1w ago
Breeze Taigi: Benchmarks and Models for Taiwanese Hokkien Speech Recognition and Synthesis
arXiv:2603.19259v1 Announce Type: cross Abstract: Taiwanese Hokkien (Taigi) presents unique opportunities for advancing speech technology methodologies that can
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
HATL: Hierarchical Adaptive-Transfer Learning Framework for Sign Language Machine Translation
arXiv:2603.19260v1 Announce Type: cross Abstract: Sign Language Machine Translation (SLMT) aims to bridge communication between Deaf and hearing individuals. Ho
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 1w ago
How Motivation Relates to Generative AI Use: A Large-Scale Survey of Mexican High School Students
arXiv:2603.19263v1 Announce Type: cross Abstract: This study examined how high school students with different motivational profiles use generative AI tools in m
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Generative Active Testing: Efficient LLM Evaluation via Proxy Task Adaptation
arXiv:2603.19264v1 Announce Type: cross Abstract: With the widespread adoption of pre-trained Large Language Models (LLM), there exists a high demand for task-s
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
When the Pure Reasoner Meets the Impossible Object: Analytic vs. Synthetic Fine-Tuning and the Suppression of Genesis in Language Models
arXiv:2603.19265v1 Announce Type: cross Abstract: This paper investigates the ontological consequences of fine-tuning Large Language Models (LLMs) on "impossibl
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Probing to Refine: Reinforcement Distillation of LLMs via Explanatory Inversion
arXiv:2603.19266v1 Announce Type: cross Abstract: Distilling robust reasoning capabilities from large language models (LLMs) into smaller, computationally effic
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Full-Stack Domain Enhancement for Combustion LLMs: Construction and Optimization
arXiv:2603.19268v1 Announce Type: cross Abstract: Large language models (LLMs) in the direction of task adaptation and capability enhancement for professional f
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
A Human-Centered Workflow for Using Large Language Models in Content Analysis
arXiv:2603.19271v1 Announce Type: cross Abstract: While many researchers use Large Language Models (LLMs) through chat-based access, their real potential lies i
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Transformers are Stateless Differentiable Neural Computers
arXiv:2603.19272v1 Announce Type: cross Abstract: Differentiable Neural Computers (DNCs) were introduced as recurrent architectures equipped with an addressable