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Computer Science & AI
Much of the new work in computer science and AI appears first as a preprint on arXiv. ReadSearch reads those listings every day, with papers OpenAlex files under the same subjects, and this page shows the newest it has, from machine learning and language to systems, theory and security.
The newest 1,000 papers, from 4 November 2026 to 5 November 2026: 1,000 arXiv preprints.
Newest papers, page 14
Generate-then-Rank: Learning Symbolic Goal Interpretation for Embodied Agents
Goal interpretation is to translate a natural language instruction into a formal symbolic goal that a planner can execute.Estimating Spectrum-Free Information Bounds for Generative Surrogates Beyond Conditional Collapse
Conditional generative surrogates in high-energy physics, such as models that predict reconstructed jets from partons, are often evaluated on $1\text{D}$ marginal divergences among other metrics.Instantiating the Knowledge Plane
In 2003, Clark et al. proposed the "Knowledge Plane", a layer of intelligent agents that share rich information about network state in order to collaboratively manage the Internet across…STAG-Net: Structure-Aware Attention over Landmark Groups for Lightweight Head Pose Estimation
Head pose estimation is important for human computer interaction and driver monitoring, but many image based methods remain too costly for resource constrained deployment.Operationalizing NCII and CSAM Law in the Age of AI: Open Problems
Advances in generative AI have driven a surge in synthetic non-consensual intimate imagery (NCII) and child sexual abuse material (CSAM), prompting a series of legal reforms.THG-Omni: Traceable Human-Centric Graph Supervision for Video Reasoning
Omni-modal models can answer questions about video, but their predictions rarely show which participant, event, or interval supports an answer.Enhanced MRI brain tumor detection using deep learning in conjunction with explainable AI SHAP based diverse and multi feature analysis
Recent innovations in medical imaging have markedly improved brain tumor identification, surpassing conventional diagnostic approaches that suffer from low resolution, radiation exposure, and…Masked diffusion as random sequential adsorption: an exactly solvable model for parallel decoding
Masked diffusion models generate text by reversing a stochastic masking process.Computation, not weight access: large language models as auditors of clinical prediction networks
Frontier large language models (LLMs) have been reported to read, edit and write the weights of small neural networks, raising the prospect of auditing clinical prediction models from their files…Learning Robotic World Models with Semantic and Visual Feedback
Robot world models predict action-conditioned future visual states to support robotic planning and decision making.Tasteply: Externalizing Stable and Situational Preference as Manipulable Spatial Objects
Most recommender systems treat user preferences as a single signal to infer and optimize, yet human preferences are a mix of a stable preference and situational preferences that turn on and off…Towards Foundation Decision Models: Drex
Autoregressive approaches with large language models, such as long chain-of-thought reasoning, have become the default for new AI applications because they reach higher accuracy on a wide range of…Quantum Communication and Phase Sensing over a Dephasing Channel with Thermal Noise
Dephasing is a prominent source of decoherence in quantum communication, degrading phase coherence and transmission reliability.CORE: Coarse-to-Fine Search with Context Management for Deep Research
Deep research agents answer complex questions through repeated search.OcTreeMamba: Topology-Aware Mamba for 3D Medical Segmentation via Octree Sparsification
Accurate segmentation of 3D anatomical structures is crucial to medical image analysis.Do Recommenders Need to Think in Words? Latent Reasoning for Efficient LLM-Based Recommendation
LLM-based recommender systems increasingly generate chain-of-thought (CoT) text before each item prediction to activate the LLM's reasoning capacity, costing tens to hundreds of extra tokens per…PlayGen2: Learning Real-Time Playable Worlds with Explicit 3D State
Building a playable world requires more than generating plausible video: it demands responsive control, persistent spatial structure, and coherent interactions with dynamic entities.FARR: Forecast-Aware Residual Refinement with Matched Endpoint Evidence for Long-Horizon Time-Series Forecasting
Large language models use auxiliary conditioning to incorporate additional information into time-series forecasts.PVDepth: Panoramic Video Depth Estimation via Geometry-Aware Spatiotemporal Adaptation
Panoramic video depth estimation is pivotal for applications such as Virtual Reality and World Models.Responsible GenAI Use During Active Armed Conflict: Evidence from Sudan's Emergency Response Rooms
Armed conflict can increase the value of Generative AI (GenAI) while undermining the conditions required for its responsible use.
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