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Artificial Intelligence
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The newest 5,000 papers, from 12 October 2026 to 6 November 2026: 4,992 arXiv preprints and 8 OpenAlex records.
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Newest papers, page 246
Towards a Data-Centric Understanding of Spatial Reasoning in Multimodal Large Language Models
Multimodal Large Language Models (MLLMs) have been widely applied in embodied agents and robotics for vision tasks.From Copying to Composition: How Language Models Develop In-Context Learning
In-context learning (ICL) allows language models to adapt their behavior from instructions and demonstrations in a prompt, but accuracy alone does not reveal how contextual information controls…Genesis Steering: Better Activation Steering Through Training Data
Activation steering controls large language models at inference time, but its effectiveness depends on the choice of reference data.Unlocking Structured Pruning for Reasoning Language Models via Attention-Preserving MLP Trimming
Structured pruning reduces LLM inference costs by removing model components to produce smaller dense models.Learning in Orbit: Onboard Training and Closed-Loop Attitude Control with a Thermal Segmentation Model on a Spacecraft
Deep space missions increasingly require spacecraft capable of autonomously operating in environments with communication delays and bandwidth limitations.PairIT: Autoregressive Transformers for Low-Data Molecule Optimization
Generating novel molecules with desired properties is a central challenge in drug discovery.Imagining Goals with Geometric Horizon Models for Policy Generalization
Training from offline data has allowed for substantial progress in domains such as robotics, leading to general-purpose policies that can be easily applied zero-shot or efficiently finetuned for…Plant Memory: Technical Language Processing and a Verified Maintenance Ontology for Agent-Accessible Failure Knowledge from SAP PM Work Orders
Maintenance work orders are the largest written record of how industrial equipment fails, yet in most plants they are close to unusable for analysis.CAFE: Confining Feature Distillation to Language-Routed Adapters for Compact Multilingual Automatic Speech Recognition
Feature distillation is usually expected to add to logit distillation.Graph-Based Orchestration of Heterogeneous AI Models: A Control Node Approach to Composite Intelligence
We present a graph-based framework for Composite AI systems that integrate multiple AI techniques to address complex problems.MA-Bench: Measuring Operational Planning in Language Models
How well can a language model turn a large, incomplete and partly contradictory body of documents into a plan when no single correct answer exists?Compiling Expert Procedures into Verified Programs: When a Small Model Is Enough
In procedural tool-use domains, how much of the gap between base models is procedure rather than capability?AgentCIScope: Grounded Contextual Integrity Evaluation for LLM Agents
LLM agents are becoming increasingly capable of handling daily workspace tasks by interacting with application environments through tool calls.Into the Unknown: Benchmarking AI agents on open scientific research problems
Can AI agents carry out research on open scientific problems?ListQA: A Benchmark for Evaluating List-Formatted Factual Knowledge Retrieval in Large Language Models
Many real-world questions demand not a single fact but an organized collection of them, yet existing factual knowledge benchmarks almost exclusively target single answer retrieval.Verification Turns Capability Gaps into Routing Decisions: Small Language Models for Clinical Documentation
Clinical note generation from doctor--patient dialogue is high-volume and hallucination-intolerant: a fabricated laboratory value can create patient-safety risk, not a quality regression.Learning from Self-Generated Responses: Reliability--Uncertainty Self-Distillation for Reasoning
Reference solutions and question-specific rubrics are not always available to guide the teacher in self-distillation.Multi-System Cognitive Steering for Generative Communication
A fundamental bottleneck for translating thoughts to speech is the high physical cost of motor input forcing a strict tradeoff between communication speed and expressivity.Diagnosing Low-Confidence Patient Profiles via Localized Harmful Covariate Shift Detection
Before deploying clinical prediction models, their reliability must be assessed to ensure safe use.Identity, Incentives, and Cooperative Behavior for AI: Reverse-Engineering Multiagent Cooperation
The behavior of AI systems increasingly depends on the extent to which agents cooperate or coordinate with one another, in ways that may be desirable or not depending on the situation.