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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 49
Do Social Influence Pressures Move LLM Agents? Evidence from Delegated Audit Judgment
Large language model (LLM) agents are rapidly being integrated into complex professional workflows such as auditing and entrusted with judgments under human review.AStockArena: Beyond Returns, Can We Entrust Real Capital to the Decisions of Financial Agents?
Large language models (LLMs) are increasingly used in dynamic financial trading, yet real-time trading benchmarks mainly evaluate agents by cumulative returns and risk-adjusted performance.Agentic Context Management for Multi-Turn Human-AI Conversations
LLMs degrade in multi-turn conversation partly because of context pollution: the model's own earlier outputs stay in context and anchor later turns, so an early misreading of the user's intent can…Reflex: Fast Robot Policy Serving by Reusing and Correcting Past Actions
Modern robot policies often perform expensive inference to generate action chunks, making serving a latency bottleneck for real-time control and a throughput bottleneck for multi-robot serving.Faster Imitation by Re-timing Demonstrations Within the Controller Limit
Imitation policies inherit the operator's pace, and re-timing the demonstrations to run faster works only until success collapses at two to three times demonstration speed.Skill++: Towards Lifelong Agents via Routing-Aware Skill Refinement
Large language model (LLM) agents extend their capabilities with skills, each with a name, a description, and a body.Low-Margin Branch Points in Deterministic LLM Deliberatio
Deterministic multi-agent LLM deliberation can exactly re- play a fixed transcript, yet exact replay alone does not test local resistance to controlled internal interventions.Governing Equations of Human Sleep Macro-Structure:Symbolic Discovery from 1,106 Nights
Human sleep is organized into a small number of cycles per night: deep sleep dominates early cycles, REM lengthens toward morning, and light sleep clusters at cycle boundaries.WAR-CRAFT: Refining Web API Recommendations through Requirement Auditing
Web API recommenders return a set of APIs for a mashup request but do not check it against provider documentation, the main public evidence of an API's capabilities.The First-Order Value of Free Covariates in Budgeted Risk Monitoring
A deployed model sees its inputs for free, but checking whether its risk has risen requires costly labels.Evolving Scientific Intelligence: From Fragmented Evidence to Distributed Experimental Loops
Scientific discovery advances when evidence from different investigations is brought into contact.Conic Certification of Transformer Attention
Attention is the computational core of large language models, yet the verifiers that bound how far an attention head's output can move under input perturbations give no guarantee on how loose their…Guarded Compression of Adam Optimizer State with Shared-Gradient Bounds
Adam keeps two FP32 moments per parameter, twice the bytes of the FP32 weights, yet compressing them is risky: the update divides by the square root of the second moment, so small reconstruction…State-Aware Activation Recomputation with Replay Contracts and Selective Preservation
Activation recomputation saves accelerator memory by replaying forward segments during the backward pass, but replay is only correct if it sees the state the original forward pass saw.X-World 1.6: Building Controllable Virtual Cities with World Models
Deploying generative world models for end-to-end closed-loop evaluation and policy learning requires precise scenario control, consistent observations, and sustained generation quality during…Multi-Estimate Elicitation Does Not Uniformly Debias Language Model Judgments
Does eliciting five weighted estimates within a single response consistently improve numerical judgments?Editing the Goal: Per-Token SAE Steering and Its Depth Limits in $π_{0.5}$
Sparse autoencoders (SAEs) have recovered interpretable, causally relevant features in robot foundation models (RFMs) such as $π_{0.5}$ (arXiv:2603.19183, arXiv:2603.19233).Conversational Interaction for LLM-Based Clinical Text-to-SQL: A User Study with Healthcare Professionals
Conversational text-to-SQL interfaces could give healthcare professionals natural-language access to electronic health record (EHR) data, but evidence for their real-world usability remains limited…Sparse Autoencoder Attribution Graphs Are Decided at the Margin
Attribution graphs over the features of sparse autoencoders (SAEs) are used to predict what an ablation does and are compared across training seeds.Words Before Pixels: Selective Modality Routing for Vision-Language Model Unlearning
Vision-language model (VLM) unlearning is often treated as an objective-design problem: given multimodal forget data, the goal is to optimize a loss that removes undesirable behavior while…