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ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Language Models Can Explain Visual Features via Steering

arXiv:2603.22593v1 Announce Type: cross Abstract: Sparse Autoencoders uncover thousands of features in vision models, yet explaining these features without requ

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Do Consumers Accept AIs as Moral Compliance Agents?

arXiv:2603.22617v1 Announce Type: cross Abstract: Consumers are generally resistant to Artificial Intelligence (AI) involvement in moral decision-making, percei

ArXiv cs.AI 📄 Paper ⚡ AI Lesson 2w ago

Causal Discovery in Action: Learning Chain-Reaction Mechanisms from Interventions

arXiv:2603.22620v1 Announce Type: cross Abstract: Causal discovery is challenging in general dynamical systems because, without strong structural assumptions, t

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

To Agree or To Be Right? The Grounding-Sycophancy Tradeoff in Medical Vision-Language Models

arXiv:2603.22623v1 Announce Type: cross Abstract: Vision-language models (VLMs) adapted to the medical domain have shown strong performance on visual question a

ArXiv cs.AI 📄 Paper ⚡ AI Lesson 2w ago

Toward Faithful Segmentation Attribution via Benchmarking and Dual-Evidence Fusion

arXiv:2603.22624v1 Announce Type: cross Abstract: Attribution maps for semantic segmentation are almost always judged by visual plausibility. Yet looking convin

ArXiv cs.AI 📄 Paper ⚡ AI Lesson 2w ago

LGSE: Lexically Grounded Subword Embedding Initialization for Low-Resource Language Adaptation

arXiv:2603.22629v1 Announce Type: cross Abstract: Adapting pretrained language models to low-resource, morphologically rich languages remains a significant chal

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Learning to Trust: How Humans Mentally Recalibrate AI Confidence Signals

arXiv:2603.22634v1 Announce Type: cross Abstract: Productive human-AI collaboration requires appropriate reliance, yet contemporary AI systems are often miscali

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

AwesomeLit: Towards Hypothesis Generation with Agent-Supported Literature Research

arXiv:2603.22648v1 Announce Type: cross Abstract: There are different goals for literature research, from understanding an unfamiliar topic to generate hypothes

ArXiv cs.AI 📄 Paper ⚡ AI Lesson 2w ago

Generalizing Dynamics Modeling More Easily from Representation Perspective

arXiv:2603.22655v1 Announce Type: cross Abstract: Learning system dynamics from observations is a critical problem in many applications over various real-world

ArXiv cs.AI 📄 Paper ⚡ AI Lesson 2w ago

Vision-based Deep Learning Analysis of Unordered Biomedical Tabular Datasets via Optimal Spatial Cartography

arXiv:2603.22675v1 Announce Type: cross Abstract: Tabular data are central to biomedical research, from liquid biopsy and bulk and single-cell transcriptomics t

ArXiv cs.AI 📄 Paper ⚡ AI Lesson 2w ago

WiFi2Cap: Semantic Action Captioning from Wi-Fi CSI via Limb-Level Semantic Alignment

arXiv:2603.22690v1 Announce Type: cross Abstract: Privacy-preserving semantic understanding of human activities is important for indoor sensing, yet existing Wi

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

PopResume: Causal Fairness Evaluation of LLM/VLM Resume Screeners with Population-Representative Dataset

arXiv:2603.22714v1 Announce Type: cross Abstract: We present PopResume, a population-representative resume dataset for causal fairness auditing of LLM- and VLM-

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

KALAVAI: Predicting When Independent Specialist Fusion Works -- A Quantitative Model for Post-Hoc Cooperative LLM Training

arXiv:2603.22755v1 Announce Type: cross Abstract: Independently trained domain specialists can be fused post-hoc into a single model that outperforms any indivi

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

DALDALL: Data Augmentation for Lexical and Semantic Diverse in Legal Domain by leveraging LLM-Persona

arXiv:2603.22765v1 Announce Type: cross Abstract: Data scarcity remains a persistent challenge in low-resource domains. While existing data augmentation methods

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

From Overload to Convergence: Supporting Multi-Issue Human-AI Negotiation with Bayesian Visualization

arXiv:2603.22766v1 Announce Type: cross Abstract: As AI systems increasingly mediate negotiations, understanding how the number of negotiated issues impacts hum

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

From Arithmetic to Logic: The Resilience of Logic and Lookup-Based Neural Networks Under Parameter Bit-Flips

arXiv:2603.22770v1 Announce Type: cross Abstract: The deployment of deep neural networks (DNNs) in safety-critical edge environments necessitates robustness aga

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

KARMA: Knowledge-Action Regularized Multimodal Alignment for Personalized Search at Taobao

arXiv:2603.22779v1 Announce Type: cross Abstract: Large Language Models (LLMs) are equipped with profound semantic knowledge, making them a natural choice for i

ArXiv cs.AI 📄 Paper ⚡ AI Lesson 2w ago

Exposure-Normalized Bed and Chair Fall Rates via Continuous AI Monitoring

arXiv:2603.22785v1 Announce Type: cross Abstract: This retrospective cohort study used continuous AI monitoring to estimate fall rates by exposure time rather t

ArXiv cs.AI 📄 Paper ⚡ AI Lesson 2w ago

Quantum Random Forest for the Regression Problem

arXiv:2603.22790v1 Announce Type: cross Abstract: The Random Forest model is one of the popular models of Machine learning. We present a quantum algorithm for t

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

PhotoAgent: A Robotic Photographer with Spatial and Aesthetic Understanding

arXiv:2603.22796v1 Announce Type: cross Abstract: Embodied agents for creative tasks like photography must bridge the semantic gap between high-level language c

ArXiv cs.AI 📄 Paper ⚡ AI Lesson 2w ago

Focus, Don't Prune: Identifying Instruction-Relevant Regions for Information-Rich Image Understanding

arXiv:2603.22815v1 Announce Type: cross Abstract: Large Vision-Language Models (LVLMs) have shown strong performance across various multimodal tasks by leveragi

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

When AI Shows Its Work, Is It Actually Working? Step-Level Evaluation Reveals Frontier Language Models Frequently Bypass Their Own Reasoning

arXiv:2603.22816v1 Announce Type: cross Abstract: Language models increasingly "show their work" by writing step-by-step reasoning before answering. But are the

ArXiv cs.AI 📄 Paper ⚡ AI Lesson 2w ago

TDATR: Improving End-to-End Table Recognition via Table Detail-Aware Learning and Cell-Level Visual Alignment

arXiv:2603.22819v1 Announce Type: cross Abstract: Tables are pervasive in diverse documents, making table recognition (TR) a fundamental task in document analys

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

URA-Net: Uncertainty-Integrated Anomaly Perception and Restoration Attention Network for Unsupervised Anomaly Detection

arXiv:2603.22840v1 Announce Type: cross Abstract: Unsupervised anomaly detection plays a pivotal role in industrial defect inspection and medical image analysis