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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: 4,998 arXiv preprints and 2 OpenAlex records.
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Newest papers, page 62
RE-SciVQA: Improving Scientific VQA With Context-Relevant Retrieval and Lightweight MLLM Adaptation
A deep understanding of scientific literature often relies on interpreting figures that contain key information beyond the main text.OmniPiano: Diverse Dexterous Piano-Playing Challenges for Standard, Robust, Safe, and Multi-Agent RL
Dexterous robotic manipulation remains a major challenge in robotics, exemplified by piano playing, which requires coordinated control of fingers and provides a demanding testbed for reinforcement…Taurus: LLM-in-the-Loop CT Annotation Matches Coding Agents at Half the Cost
Dense labels of the aorta in CT are slow to draw, and the public aortic CT datasets that could stand in for them each label different structures under their own conventions.A generative foundation model for computational brain imaging
Computational brain imaging is constrained by a mismatch between increasingly diverse tasks and scarce, heterogeneous clinical data.Outstrumental Variable Regression
Estimating the causal effect of a treatment $X$ on an outcome $Y$ from observational data in the presence of unobserved confounding requires additional structure or assumptions.Automated Theorem Generation in First-Order Logic by Construction from Triangular Standard Contradictions
Automated theorem generation (ATG) seeks to construct new theorems rather than merely prove given conjectures.DELBERT-2: Pretrained Fingerprint Language Models for DEL Protein Binder Prediction
We present DELBERT-2, a pretrained fingerprint language model that converts sparse molecular fingerprints into unified token sequences using a ModernBERT encoder trained with masked language…VerusWeave: A Benchmark for Proof Repair in Concurrent Verus Programs
Concurrent software underpins critical infrastructure, including operating systems and databases, yet thread interactions can have bugs that bypass conventional testing.Quantifying Local and Global Fidelity of Nonlinear Embeddings
Dimension reduction rests on a claim: t-SNE and UMAP preserve local structure, PCA global structure.When AI Agents Act on Our Behalf: A Taxonomy of Human-Agent Interaction Failure
AI agents write and execute code, manipulate user interfaces, and transact on their users' behalf.TADA: Technology Aware DNN Accelerator Performance and Energy Estimator
Deep neural network (DNN) accelerators for edge inference must meet tight energy, latency, and area (EDP) constraints, and their optimal hardware architecture and dataflow configuration is typically…A Framework for Task-Agnostic Counterfactual Fairness in Transformers through Activation Steering
Bias in transformer-based models is a growing concern as these architectures become more prevalent in automated decision-making systems, such as prediction models for hiring, lending, and clinical…Decentralized Multi-Agent Coordination and Communication in Shared Codebases
Coding agents working in shared repositories may receive separate, independently-motivated requests from human developers, creating a setting that is multi-agent by necessity.Beyond Semantic IDs: Atomic Creator Tokens for Large-Scale Generative Recommendation
Recommending creators that a user does not yet follow is a cold-start problem: from hundreds of thousands of popular creators and only a short trail of prior engagements, the system must predict the…C3: Speech-Guided KV Retrieval for Long-Context SpeechLLM Inference
Speech language models encode audio at a much higher rate than text, causing the KV cache to dominate the memory, bandwidth, and decoding cost of long-form generation.Decomposing Irregular Time Series into Interpretable Temporal Patterns with Mixture-of-Experts
Irregularly-spaced sequential data, such as transaction logs, encode multi-scale temporal structure that is critical for prediction but difficult to recover explicitly with standard sequence models…Efficient NPN Classification for Large Functions using Graph Neural Network
Two Boolean functions are considered NPN equivalent if one can be transformed into the other by negating inputs, permuting inputs, or negating the output.SPARK: Self-Correcting Embodied Memory via Physical Re-Observation
Retrieval-augmented generation (RAG) systems have seen growing adoption in embodied settings as language-queryable memories of the environment.On the Limits of Test-Time Compute for Self-Evaluation
Self-verification and aggregation have emerged as popular approaches for bridging the gap between pass@1 and pass@N.Cross-Prompt Reuse of Entity-Replacement Responses
With model weights fixed, we measure how much of an entity-replacement response transfers between English factual questions, beyond whether answers change.