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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 149
How Fine-Tuning Objectives Shape Layer-Wise Information in LLM Hallucination Detection
Under matched conditions, classifier-head fine-tuning (\textsc{cls}) paradigm consistently outperforms the LLM-as-Judge sequence-to-sequence (\textsc{s2s}) on binary hallucination detection.RLSplat: Resource-Linear Budget Control for Feed-forward 3D Gaussian Splatting
Feed-forward 3D Gaussian Splatting (FF3DGS) reconstructs 3D scenes from images in a single forward pass, making it well-suited to applications that must operate within limited resource budgets.When Does Experience Memory Help Closed-Loop LLM Driving Agents? A Controlled Evaluation with Resampled Warmup Pools, Token-Matched Fillers, and Audited Baselines
When does experience memory help a closed-loop LLM driving agent?How Language Models Organize Task Information
Dense linear probes assess task readability from language model (LM) representations, but do not directly reveal how many features suffice for prediction.World2HOSI: A Multi-Expert Harness for Long-Horizon Human-Object-Scene Interaction Generation
Long-horizon human-object-scene interaction (HOSI) is central to embodied AI, animation, and game development.Anytime-Valid Runtime Monitoring of Learned Barrier Certificates
Learned barrier certificates provide a principled mechanism for establishing safety of stochastic systems, but their validity may deteriorate during deployment when the underlying dynamics differ…RSI Control: Can AI Models Perform Covert Sabotage in the Self-Improvement Process?
Recursive self-improvement, in which frontier AI models work on training the next generation, is quickly becoming a reality.Hearsay or Fact? How Framing and Elicitation Shape LLM Probability Updates
Large language models (LLMs) are increasingly used as judgment assistants and as stand-in participants in psychology experiments, yet little is known about how much their probability estimates move…S$^2$-MAS: A Society-Scale Multi-Agent Simulation Framework with 500 Million Household Persona Agents
Simulating economic responses at society scale requires agents whose decisions reflect household circumstances.Give the Model a Finger: Developmentally Aligned Evaluation of Counting in Vision-Language Models
Vision-language models (VLMs) are exact on small sets and drift into estimation on larger ones, a profile reminiscent of children before they master counting.CrystalAR: Autoregressive Modeling for Symmetric Crystal Generation
Deep generative modeling has achieved remarkable progress in crystal generation.How Much Do $\ell_1$ Attacks Need Concentrated Perturbations?
A global $\ell_1$ budget limits how much an adversary may change an image, not how that change is distributed.Radar-Based 3D Human Pose Estimation via Motion-Aware Pose Initialization and Observation-Guided Refinement
3D Human Pose Estimation (3D HPE) is used in indoor environments, such as smart homes, to analyze human movement and monitor human states.RITE: Evaluating End-to-End Resilience to Silent Tool Errors in E-Commerce Agentic Systems
Tool-using LLM agents increasingly answer e-commerce queries through multi-step tool interactions.GRADUS: Discovering and Recovering Agent Lessons from the Environment's Latent Syllabus
Training LLM agents for policy-constrained tool environments, such as an airline backend with booking, refund, and cancellation policies, requires tasks that exercise the environment's rules…RELAY: Scaling Historical Build Restoration through Rule Reuse and Agentic Repair
Vulnerability benchmarks and software engineering research depend on rebuilding historical software.SLM-SS: Token-Based Speech Separation with Speech Language Models
Speech separation (SS) has witnessed substantial progress in recent years with the advent of neural network-based methods, achieving notable improvements on signal-level evaluation metrics.Toward Agentic AI for the 6G Physical Layer: From Algorithm Discovery to Verified Baseband Silicon
6G will be designed faster than it can be built: AI-driven search already proposes physical-layer algorithms at machine speed, while carrying a single one onto embedded baseband silicon remains…LatBridge: Efficient and Stable Model Replacement in Latent-Communication Multi-Agent Systems
Multi-agent systems rely on communication to complete tasks, and latent communication passes continuous representations to reduce text generation and re-encoding.RAG-NIMBF: A Non-Invasive, Modular Benchmarking Framework for Automated RAG Configuration Analysis
Retrieval-Augmented Generation (RAG) has become the dominant paradigm for grounding the outputs of large language models (LLM) in external knowledge.