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Artificial Intelligence
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The newest 5,000 papers, from 11 October 2026 to 5 November 2026: 4,998 arXiv preprints and 2 OpenAlex records.
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Newest papers, page 128
LAST-V2X: Language-Driven Adaptive Scenario Synthesis and Testing for Communication-Induced Failures in V2X Safety Applications
Vehicle-to-everything (V2X) communication enables connected vehicles to make safety-critical decisions, but delayed, missing, or incorrect information can compromise driving safety.ColaBench: Evaluating Memory-Guided Knowledge Acquisition in Personal Agents
Personal agents need to draw on long-term interaction history to retrieve and apply external knowledge suited to a user's current request.Truthful by Omission: Click Thinning for LLM-Native Advertising
Generative AI assistants are becoming an advertising medium, embedding sponsored content in their answers.SecLog-Bench: A Scalable Benchmark for Cybersecurity Log Reasoning with Scaffolded Evidence
Large language models (LLMs) have shown strong potential for cybersecurity, leading to growing interest in LLM-based automated cybersecurity log analysis.Agri-SCHOLAR: Simulation-Grounded In-Season Rolling Advisories for Agricultural Crops Using LLM-Bounded Optimization
In this paper, our objective is to close these gaps by developing Agri-SCHOLAR (Simulation-Grounded Crop Harvest Optimization with LLM-Guided In-Season Advisory Rollouts).Mitigating Saliency Collapse: Robust Saliency-Aware Long-Text Image-Text Alignment
Long-text image-text alignment is essential for fine-grained scene understanding, yet existing methods mainly focus on extending context length or improving local alignment.Evaluating Artificial Wisdom (AW): A Trajectory-Based Framework for Context-Sensitive Decision Regulation
Capability benchmarks measure what large language models can do, but not whether their recommendations remain appropriate as decision conditions change.Multi-Tool Selection for Robotic Systems: Comparing Semantic Retrieval and LLM
Natural-language interfaces allow users to command robotic systems without interacting directly with mission planners or robotics middleware.Mostly Reading: What Open-Book Scores Measure in Document-Level LoRA Adapters
Single-document LoRA adapters have been proposed as units of knowledge to be merged and retrieved; yet open-book scoring, with the document in the prompt, can credit a document's own adapter (its…CANNBot-CAKE: Collaborative Agentic Kernel Evolution for Ascend NPU
Efficient custom operators are essential for modern deep learning workloads, yet developing high-performance kernels for Ascend NPUs remains slow, expert-intensive, and difficult to automate.Multichoice Modeling: Exploring Decision Configuration Space under Uncertainty
Decision support has become sophisticated at exploring uncertainty, but much less so at representing the architecture of the decision itself.Algorithmic drift in generative adaptive learning
Generative artificial intelligence promises to democratize personalized tutoring, yet the longitudinal stability of adaptive systems remains under-theorized.Conflict-Aware Logit Adapters for Utility-Preserving Anti-Distillation
While reasoning traces improve model capability, they also provide supervision signals for downstream distillation.Harm Is Behavioural, Moderation Is Lexical: How Language and Culture Decide Whom Automated Safety Systems Protect and Whom They Silence
Content warning: this paper quotes slurs and hateful statements from published test suites; the racial slur among them is masked.Directing to Diversify: Multi-Directional Search for Automatic Heuristic Design
Large language models (LLMs) have demonstrated strong potential to automate heuristic design for NP-hard combinatorial optimization (CO) tasks without human intervention.Diagnosing the Explicit-to-Applied Theory of Mind Gap in LLMs
As large language models are deployed in high-stakes roles such as therapy, education, and personal assistance, their social cognition must be assessed reliably.SCOPE: Compiling Natural-Language Policies into Neurosymbolic Predicate Programs
Policy enforcement for LLM agents has shifted from single-turn content moderation to compound, application-specific policies evaluated over multi-turn transcripts and tool-call trajectories.Dual Exam: Controlled Evaluation of Multimodal Agents and World Models
World Models (WMs) can support Multimodal Agents (MAs) through simulated experience, while Agent trajectories can inform World Model refinement.MQAScore: Fine-Grained Text-Music Alignment Evaluation via Large Audio Language Model
Text-to-music alignment is commonly evaluated by the global similarity between text and audio embeddings, which collapses all described attributes into a single score and obscures which ones are…What Pairwise Evaluation Misses: Reward Scores across Prompts
Reward models score responses for preference optimization, filtering and ranking, and pooling scores across prompts needs them to be comparable.