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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 153
VGL-stGen: Learning a shared multimodal model for lung histology and spatial transcriptomics
VGL-stGen is a multimodal large language model adapted from a pretrained medical vision-language model using paired lung H&E and spatial transcriptomics with single-cell references.GALA: Geometry-Aware Language Model for Controllable Object Arrangement
Reasoning about fine-grained placement constraints, such as support and containment, is essential for realistic 3D scene creation.ChartEvo: Self-Evolving Agent Harnesses for Long-Tail Chart Reasoning
Multimodal large language models (MLLMs) have substantially advanced chart understanding and reasoning, yet their performance remains highly uneven across chart types.Local Work, Global Progress: A Convergence Theory of AI Agent Collaboration
Teams of large language model (LLM) agents are increasingly applied to complex tasks, but their collaboration protocols are mostly designed empirically, without convergence guarantees.ABACUS: A Benchmark for Image Editing Models to Assess Object Category and Counting Under Scene Conservation
Instruction-based image editing models can now add, remove a specified number of objects or change their category while preserving the scene.Is Sycophancy a Form of In-Context Updating?
Factual sycophancy, a language model's deference to a user's false beliefs, is usually understood as a bid for the user's approval at the expense of truthfulness.Identifying Dependent Components from Multi-domain Linear Mixtures
We study a linear mixing model with dependent latent components, assuming multiple data domains.Beyond a Single Sentiment Score: Topical and Affective Dimensions of Emoji Meaning on Twitter
Emoji are widely treated as compact affective tokens whose meaning is summarised by a single sentiment score.Gated Prototype Transfer for Zero-Support Medical Vision Language Model
Realistic few-shot adaptation of medical vision-language models (VLMs) can leave low-prevalence classes without any labeled support.RayCo4D: Ray-Conditioned Continuous Motion Model for Monocular 4D Dynamic Reconstruction
Reconstructing dynamic 3D scenes from monocular video requires inferring motion from noisy and intermittently visible observations.S-Agent 2.0: Spatial Reasoning with a General Coding Agent
Spatial reasoning asks a model to work out where objects are in 3D space, how they relate to one another, and how they move.CountVideoBench: A Benchmark to Evaluate Prediction Biases on the Object Counting task by Video-Language Models
Object counting in videos remains a poorly characterized capability of multimodal large language models.FALCA: Falsification-Aware Reinforcement Learning with Hierarchical Credit Assignment for Long-Horizon Deep Search Agents
Long-horizon deep search requires LLM agents to iteratively decompose complex information needs, gather evidence from external sources, and maintain a reliable research state under multiple…Context-Aware Prompt Injection Detection via Small Language Models in RAG Pipelines: nokast-secureRAG
Local Retrieval-Augmented Generation (RAG) systems are vulnerable to indirect prompt injection and retrieval poisoning, where malicious instructions in retrieved content are mistaken for trusted…Don't Skip the Baseline: A Controlled Comparison of Dynamic Expert Skipping in MoEs
A growing body of work proposes dynamic expert-skipping methods for Mixture-of-Experts (MoE) models that adjust the number of experts activated per token during inference, aiming to preserve model…RACE: RoPE-Aligned Attention Compression Based on Query-Key Activation Energies
Head-dimension compression can reduce the memory required by the key-value (KV) cache, but existing methods often reconstruct full-dimensional representations during inference, adding significant…VisualEvolve: A Skill Self-Evolution Framework for Visual Reasoning
Visual tool use enables vision-language models (VLMs) to acquire task-relevant evidence, but its effectiveness can be limited by predefined visual operations and the tool-use strategies learned…MAS-Guard: Unified Guardrails from Individual Agents to Multi-Agent LLM Systems
Agentic AI extends large language models (LLMs) from generating responses to planning and executing complex workflows, substantially expanding their utility while exposing applications to unsafe…DIVE: Benchmarking Full-Duplex Interaction with Visual Engagement in Continuous Streams
Recent advances in multimodal large language models (MLLMs) have substantially improved spoken interaction and video understanding.The Instruction Tax on Factual Recall: Base Models Can Beat Their Instruction-Tuned Counterparts
We present our solution to the AKBC LM-KBC 2026 Shared Task, where we achieved a score of 0.6836 on the official leaderboard, more than double the baseline of 0.2964.