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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 8
Stress Testing Chain-of-Thought Monitoring Against Covert Misalignment
As LLM agents advance rapidly in autonomy, the risk of hidden objectives that bypass safety constraints becomes increasingly plausible.Fine-Tuning a Transducer for Impaired Speech: Where the Gains Appear and What They Mean for Evaluation
Speech recognition still works poorly for many people whose speech is affected by conditions such as ALS, Parkinson's disease, cerebral palsy, Down syndrome or stroke.What Gets Hacked in a Collaborative Reward for LLM Recommenders: The Part That Does Not Depend on the User
Collaborative-filtering (CF) scores provide graded, personalized rewards for training large language model (LLM) recommenders through reinforcement learning.Learning and Steering in Incomplete-Information Games
In many modern multi-agent systems, a mediator seeks to influence strategic decision dynamics using only outcome-level feedback and without knowing agents' utilities.Beyond Independent Predictions: Learning the Browsing Journey for Sequence-Level Re-ranking
Re-ranking aims to present users with an ordered list that maximizes sequence-level utility.Re-Planning Budgets under Admission Control in Grant-Free LEO Beam-Hopping Access
Reordering low-Earth-orbit (LEO) beam-hopping visits can reduce grant-free update delivery even when each region receives the same service time.TACT-KV: Tri-Axis Cosine Transform for Compressing Volumetric KV Caches in Medical VLMs
Vision-language models (VLMs) applied to 3D medical scans face a structural memory wall.Evolver: Turning Agent Exploration into Evolving Capabilities
Agent exploration produces valuable procedural knowledge, yet much of this experience remains confined to transient execution traces and is not systematically reused.Align Before Aggregation: Basis-Consistent Federated LoRA under Heterogeneous Ranks
Federated fine-tuning of large language models (LLMs) under heterogeneous client capacities is increasingly important, and low-rank adaptation (LoRA) with heterogeneous ranks makes it practical.Binding Paraphrased Instructions to Encountered Objects in sLLM Agents under Partial Observability
Reliable deployment of LLM agents requires grounding diverse user expressions in their environments.Sharp Limits of Graph-Based Nearest Neighbor Search on the Sphere
We study the degree needed for greedy graph search to find the exact nearest neighbor from every starting point on graphs of $n$ independent data points on the unit sphere in $\mathbb R^d$.FisherDistill: Diffusion Distribution Distillation via Closed-Form Fisher Critics
Recent advances in diffusion distillation have enabled high-quality image generation in only one or a few network function evaluations (NFEs).The Gating Mechanism of KV Cache Eviction
KV cache eviction must decide which entries carry information that the rest of the cache can no longer supply.Combinatorial limitations of list-decoding Reed-Solomon codes
For infinitely many rates $R \in (0,1)$, we show that full-length Reed-Solomon codes over fields of low characteristic can contain super-polynomially many codewords in a Hamming ball of radius just…Embedding-Space Fingerprinting of LoRA Fine-Tunes: Recovering the Training-Data Domain from the Model Artifact Alone
When a base language model is fine-tuned with Low-Rank Adaptation (LoRA), how much of the training data domain leaks into the resulting artifact?Towards Real-Time Full-Waveform LiDAR Transformers via Intensity-Guided Token Reduction and Physics-Aware Augmentation
LiDAR is a critical sensor for autonomous driving and robotics, yet it remains vulnerable to adverse conditions such as fog, rain, transparent objects, and low-reflectance surfaces.The Popular Get More Popular: Auditing Brand Bias in Generative Search
The shift from traditional to generative search has fundamentally transformed online product discovery.Monotone Viability Learning for Offline Safe Reinforcement Learning
Offline safe reinforcement learning requires reliable long-horizon safety estimates from fixed data.A Bilevel Neurodynamic Approach for Distributed SCAD-Regularized Sparse Least Squares
This paper proposes a bilevel particle swarm optimization (PSO)-neurodynamic method for solving the distributed sparse least-squares problem regularized by the smoothly clipped absolute deviation…Data-Driven Configuration of Protective Separation Zones in Collaborative Robot Cells from Operator Occupancy
The protective separation zone of a collaborative robot cell is commonly dimensioned for a worst case that disregards where the operator is actually present during the task.
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