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ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Causal Direct Preference Optimization for Distributionally Robust Generative Recommendation
arXiv:2603.22335v1 Announce Type: cross Abstract: Direct Preference Optimization (DPO) guides large language models (LLMs) to generate recommendations aligned w
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Graphs RAG at Scale: Beyond Retrieval-Augmented Generation With Labeled Property Graphs and Resource Description Framework for Complex and Unknown Search Spaces
arXiv:2603.22340v1 Announce Type: cross Abstract: Recent advances in Retrieval-Augmented Generation (RAG) have revolutionized knowledge-intensive tasks, yet tra
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
T-MAP: Red-Teaming LLM Agents with Trajectory-aware Evolutionary Search
arXiv:2603.22341v1 Announce Type: cross Abstract: While prior red-teaming efforts have focused on eliciting harmful text outputs from large language models (LLM
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 1w ago
First-Mover Bias in Gradient Boosting Explanations: Mechanism, Detection, and Resolution
arXiv:2603.22346v1 Announce Type: cross Abstract: We isolate and empirically characterize first-mover bias -- a path-dependent concentration of feature importan
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
WIST: Web-Grounded Iterative Self-Play Tree for Domain-Targeted Reasoning Improvement
arXiv:2603.22352v1 Announce Type: cross Abstract: Recent progress in reinforcement learning with verifiable rewards (RLVR) offers a practical path to self-impro
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 1w ago
Bridging neuroscience and AI: adaptive, culturally sensitive technologies transforming aphasia rehabilitation
arXiv:2603.22357v1 Announce Type: cross Abstract: Aphasia, a language impairment primarily resulting from stroke or brain injury, profoundly disrupts communicat
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 1w ago
Unveiling the Mechanism of Continuous Representation Full-Waveform Inversion: A Wave Based Neural Tangent Kernel Framework
arXiv:2603.22362v1 Announce Type: cross Abstract: Full-waveform inversion (FWI) estimates physical parameters in the wave equation from limited measurements and
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Early Discoveries of Algorithmist I: Promise of Provable Algorithm Synthesis at Scale
arXiv:2603.22363v1 Announce Type: cross Abstract: Designing algorithms with provable guarantees that also work well in practice remains difficult, requiring bot
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
MCLR: Improving Conditional Modeling in Visual Generative Models via Inter-Class Likelihood-Ratio Maximization and Establishing the Equivalence between Classifier-Free Guidance and Alignment Objectives
arXiv:2603.22364v1 Announce Type: cross Abstract: Diffusion models have achieved state-of-the-art performance in generative modeling, but their success often re
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Q-AGNN: Quantum-Enhanced Attentive Graph Neural Network for Intrusion Detection
arXiv:2603.22365v1 Announce Type: cross Abstract: With the rapid growth of interconnected devices, accurately detecting malicious activities in network traffic
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Modeling Quantum Federated Autoencoder for Anomaly Detection in IoT Networks
arXiv:2603.22366v1 Announce Type: cross Abstract: We propose a Quantum Federated Autoencoder for Anomaly Detection, a framework that leverages quantum federated
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Reasoner-Executor-Synthesizer: Scalable Agentic Architecture with Static O(1) Context Window
arXiv:2603.22367v1 Announce Type: cross Abstract: Large Language Models (LLMs) deployed as autonomous agents commonly use Retrieval-Augmented Generation (RAG),
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 1w ago
When Visuals Aren't the Problem: Evaluating Vision-Language Models on Misleading Data Visualizations
arXiv:2603.22368v1 Announce Type: cross Abstract: Visualizations help communicate data insights, but deceptive data representations can distort their interpreta
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 1w ago
SynLeaF: A Dual-Stage Multimodal Fusion Framework for Synthetic Lethality Prediction Across Pan- and Single-Cancer Contexts
arXiv:2603.22369v1 Announce Type: cross Abstract: Accurate prediction of synthetic lethality (SL) is important for guiding the development of cancer drugs and t
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
FAAR: Format-Aware Adaptive Rounding for NVFP4
arXiv:2603.22370v1 Announce Type: cross Abstract: Deploying large language models (LLMs) on edge devices requires extremely low-bit quantization. Ultra-low prec
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 1w ago
Rethinking Multimodal Fusion for Time Series: Auxiliary Modalities Need Constrained Fusion
arXiv:2603.22372v1 Announce Type: cross Abstract: Recent advances in multimodal learning have motivated the integration of auxiliary modalities such as text or
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Three Creates All: You Only Sample 3 Steps
arXiv:2603.22375v1 Announce Type: cross Abstract: Diffusion models deliver high-fidelity generation but remain slow at inference time due to many sequential net
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
AI Co-Scientist for Ranking: Discovering Novel Search Ranking Models alongside LLM-based AI Agents with Cloud Computing Access
arXiv:2603.22376v1 Announce Type: cross Abstract: Recent advances in AI agents for software engineering and scientific discovery have demonstrated remarkable ca
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 1w ago
Abnormalities and Disease Detection in Gastro-Intestinal Tract Images
arXiv:2603.22378v1 Announce Type: cross Abstract: Gastrointestinal (GI) tract image analysis plays a crucial role in medical diagnosis. This research addresses
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Instruction-Tuned, but Not More Verifiable Instruction-Following: A Cross-Task Diagnosis for LoRA Adapters
arXiv:2603.22379v1 Announce Type: cross Abstract: Adapters are often selected and deployed based on nominal labels (e.g., instruction-tuned), which implicitly s