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Artificial Intelligence
The newest papers in Artificial Intelligence that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
The newest 5,000 papers, from 11 October 2026 to 5 November 2026: 4,993 arXiv preprints and 7 OpenAlex records.
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Newest papers, page 31
EEFA: A Framework for the Ethical Evaluation of AI Agents
The rapid deployment of autonomous AI agents across consequential domains including healthcare, legal services, nancial management, and enterprise workows has created an urgent governance challenge.Probing Local Conditional Fit for Diffusion Model Membership Inference
Membership inference determines whether a candidate example was used to train a text-to-image diffusion model and is an important tool for auditing training-data use.BasisKV: Value Latents for Communication and Key Routing
Long-context large language model (LLM) inference is increasingly constrained by the cost of maintaining an ever-growing KV-cache.They Know Where It Is, But Not What It Says: A Bilingual Hallucination Benchmark of Hadith Recall in Open LLMs
Large language models are increasingly consulted for religious knowledge, including the recall of specific Hadith (recorded sayings and actions of the Prophet Muhammad, peace be upon him).AVID: A 5T fMRI Dataset for Benchmarking Auditory-induced Visual Mental Imagery Decoding
Visual mental imagery (VMI) decoding uses brain activity to reconstruct internally generated visual scenes, providing a potential pathway for externalizing internal experiences and developing…Parallelism-Aligned Pruning and Round-Aware Context Reuse for On-Device Multimodal Agents
On-device multimodal agents are limited by two deployment mismatches: pretrained attention structures may not divide evenly across the compute cores of an edge accelerator, causing irregular…StateFence: Task-State Protection Against Evidence-Chain Contamination in Blue-Team LLM Agents
Indirect prompt injection creates a distinctive risk for blue-team Large Language Model (LLM) agents in Security Operations Centers (SOCs).Whitened Advantage Summation Policy Optimization: Correlation-Aware Aggregation for Multi-Reward Reinforcement Learning
Reinforcement learning for language models often combines several rewards by normalizing each one and adding them with fixed weights.Scalaris: A Scalable Enterprise Memory Architecture for Conversational AI Assistants
Enterprise conversational systems require memory to personalize interactions, retain information across sessions, and maintain conversational coherence.Widening Harm Evaluation Coverage with a Judge that Reads the World
An agent acting in a stateful environment can leave evidence of harm in two places: the record of what it did and said, or the world it changed.Measuring AI Agents as Teammates with Collaborative Intelligence
Progress in AI is often measured by what a single model can do on its own.SYNC: A Training-Free Inference Controller for Dynamic Layer Selection in Multi-Persona Alignment
Steering vectors align a model at inference time without touching its weights, but eliciting several personas at once is a different problem from eliciting one.Variable names provide priors: semantic grounding enables data-efficient numerical prediction by large language models
Large language models (LLMs) have achieved strong performance across diverse tasks, from question answering to code generation.Where Is a Prediction Model Miscalibrated, and for Whom? Local Audits in Outcome-Learned Pockets
Overall and group-level averages, and ranking metrics such as the AUC, can hide sets of observations for which a prediction model systematically over- or under-predicts.InterFuse: Interaction-Guided Adaptive Fusion of Heterogeneous Models for Payment Risk Ranking
Payment platforms use view-specific models trained on transaction attributes, behavioral histories, and relational structures to rank transactions under limited review budgets.SearchInject: Retrieval Exposure Control for Indirect Prompt Injection in Language-Model Search
An indirect prompt injection can affect a search-augmented large language model only after its carrier page reaches model context.Probe-Guided Gradient Balancing for Multimodal Learning
Jointly trained multimodal networks frequently underutilize weaker modalities, as faster-learning modalities dominate the shared fusion objective and suppress gradients reaching slower ones.Parametric CAD Bench v3: Evaluating Agentic Parametric CAD Authoring from Text and Engineering Drawings
Producing an executable CAD script is not sufficient to establish that an agent has satisfied an engineering design request.UPSHIFT: User Preference Steering from Human-AI Interaction Feedback Traces
Personalizing large language model assistants requires adapting their responses to individual users, including the selection of content, reasoning approach, level of detail, and form of presentation.Chain of Faith: Policy-Internal Rewards for Reasoning Reliance
Chain-of-thought (CoT) explanations can sound plausible while having little influence on a model's final answer.