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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: 4,993 arXiv preprints and 7 OpenAlex records.
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Newest papers, page 28
Hybrid Spark: Adaptive Speculative Decoding That Lets the Content Choose the Drafter
Speculative decoding (SD) speeds up large language model (LLM) serving, but its gain depends on the workload's \emph{shape}, such as batch size and context length, and on its \emph{content}.Whiel: A Neurosymbolic Platform for Certified Relational Program Verification
We present the Whiel (a contraction of Whi(le-R)el) system for Lean-certified reasoning about imperative relational programs.ViBench 2.0: A Benchmark for Long-Horizon Software Building
On Replit, our agentic engineering platform, users now build entire products without writing code, through successive feature requests to an agent.Assurance-Conditioned Continuous Authorization for Autonomous AI Agents
Autonomous software agents can act through tools, delegate work, and change their models or execution environments while earlier authorizations remain in flight.Spatio-Temporal Multi-Order Interaction for Video Recognition
Many temporal approaches for video recognition rely on explicit cross-channel aggregation projections, which have quadratic complexity in the number of channels, introducing significant…Route to Remember: Adaptive Memory Selection for LLM Agents
The memory of production agents is increasingly becoming a bottleneck and is built almost exclusively from text: key points are extracted from out-of-limit context and retrieved into context at…VIPBench: A Human-Aligned Benchmark for Voice Identity Perception in the Age of Voice Cloning
Speaker-recognition benchmarks test how accurately a model recovers the speaker label of a recording, treating voice identity as a property of the person who produced it.Attributing Agent Failures to Their History Needs an Executed Counterfactual: Toward a Reporting Standard
Published explanations of why long-horizon agents fail are commonly taxonomies labeled over completed trajectories: a judge reads a transcript and names the failure.Quantifying Trait-State Hierarchy in EEG Foundation Model and Signal Processing Embeddings
Electroencephalography (EEG) measures brain activity through recording electrical potentials of the scalp.Grounded but Not Immune: Confirmation Bias in Agent-as-a-judge
Evaluating open-ended agent tasks increasingly falls to an Agent-as-a-Judge: an evaluator handed tools and the agent's full trajectory so it can verify a result against the environment.Combining Relevant Expert Knowledge Using Mixtures of Feedback Fuzzy Cognitive Maps
A neuro-symbolic system should combine only relevant answers from expert agents or other knowledge sources.How Do Artificial Agents Make Decisions in Light of Visual Data?
Vision-language models (VLMs) have demonstrated significant advances in reasoning with visual data, which is particularly important given that much of human knowledge is encoded visually in…TACT: A Pragmatic Approach to Qualitative Analysis with an AI Council
Qualitative data can tell software teams what their stakeholders need, yet rigorously analyzing thousands of qualitative responses takes expert time that few teams can afford or justify.From Type to Token: Petri Nets, Individual Token Philosophy, and Individualized Causal Effects
Structural Causal Models and Bayesian Networks are the dominant framework for representing causal relations.Agents, Think Only When it Helps
LLM agent distillation transfers agentic capabilities to student models by training on complete teacher trajectories that typically interleave thoughts and actions.Self-Supervised Pretraining for Label-Efficient Facial Expression Recognition using Smart Glasses
Facial Expression Recognition (FER) on optomyographic (OMG) smart glasses such as OCOsense enables privacy-preserving, camera-free affect sensing for health and well-being.Do Language Models Know Which Constraints Belong Together?
Dantzig-Wolfe reformulation strengthens the linear relaxation of a mixed-integer program by convexifying a chosen set of constraint families, and every candidate costs a column generation run.OdorSpaces: Visual-Olfactory Embodied Navigation in 3D Environments
Olfaction provides critical information about airborne chemical cues, yet it remains largely underexplored in embodied AI, with limited prior machine olfaction work focusing primarily on semantic…PersonaCodeBench: Evaluating Coding Agents in Persona-driven Human-Interactive Sessions
Coding agents must deliver correct software while respecting users' expertise, preferences, and working conditions.Learning Hierarchical Patch Splitting Policies for Faster Vision Transformers
Vision Transformers (ViTs) are bottlenecked by the length of their input token sequence.