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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 151
When Do Humans and Machines Truly Complement Each Other? Formal Conditions and Empirical Evidence for Human-AI Synergy
Can humans and artificial intelligence cooperate such that their combination yields greater accuracy than either agent alone?Recast the Past: Stable Long Video Generation with Full Context Memory
Long-horizon video generation requires retaining an ever-expanding history, but conditioning on its growing token sequence is costly.Building Telecom Language Models with RSOD: Domain Data, Specialist Post-Training, Memory-Conscious Distillation, and Networking Evaluation
Telecom language models must combine broad networking knowledge with specialist behavior across routing, broadband services, access technologies, and operational diagnostics while remaining…Learning Tactile-Aware Hand Representations from Human Hand-Object Interaction Data
Tactile representation learning for dexterous manipulation often requires substantial robot-side data collection, limiting its scalability across different hands and sensors.Dancing Diffusion: Learning Continuous Programs for Image Generation and Editing
Diffusion models generate samples through a multi-step denoising trajectory, yet condition every step on the same instruction, so the trajectory cannot be addressed at the level of individual…On-Policy Transition Distillation
On-policy distillation (OPD) consolidates expert capabilities into a single student by matching teacher and student final-layer distributions on student-generated rollouts.Assessing Representation Semantics Under Language Pretraining in Fine-Grained Classification
Understanding how supervision signals shape semantic visual representations remains challenging, particularly in fine-grained, low-data settings.Slots Are Not Speakers: Training-Free Speaker Linking for Frozen Streaming Diarizers
This paper presents a causal, training-free linker that allows a frozen streaming diarizer to track more speakers than it has output slots.Auditing Where Concept Bottleneck Accuracy Comes From on CUB
Concept Bottleneck Models (CBMs) promise predictions that humans can inspect and correct through concepts such as "curved beak".TrajEvolve: Trajectory Evolution for Reinforcement Learning with Hindsight Credit Assignment
The Reinforcement Learning (RL) paradigm has achieved remarkable success in enhancing the reasoning capabilities of Large Language Models (LLMs).Quantifying the Threat: A Bayesian Probabilistic Framework for Heavy Metal Health Risks among Children in the Densu Basin, Ghana
Groundwater in Ghana's Densu River Basin remains a key domestic water source, but multi-metal contamination threatens children's health.Same Judgment, Different Yes: Measuring Multilingual Judgment Profiles in Language Models
Multilingual evaluations often score a model's opening yes or no, a token that also carries model and language answering conventions.Slot-JEPA: Object-Structured Prediction Interfaces for Latent World Models
As a prototypical latent world model, Joint-Embedding Predictive Architectures (JEPAs) provide strong semantic representations.PULSE: Personalized Opportunistic Learning for Wearable Devices
Wearable devices increasingly support personalized health and well-being applications, but post-deployment data can differ substantially from those used for training, while purely local adaptation…IECG: Weakly-Supervised Interpretability-Enhancing Foundation Model for Electrocardiogram
Electrocardiography (ECG) is a cornerstone of cardiac diagnosis, yet most machine learning methods for ECG analysis lack interpretability, limiting their clinical adoption.InsightRAG: Aggregating Distributed Scholarly Judgments for Scientific Survey Generation
The rapid growth of scientific literature makes survey writing increasingly challenging, motivating automatic survey generation.MoDDiT: Simple Token Routing in Diffusion Transformers
Real-time video generation, interactive world models, and on-device image synthesis are almost a reality.From Complex Histories to Simple Predictors: Predictive Dimension in Dynamic Graph Learning
Existing continuous-time graph learning methods rely heavily on complex neural architectures to encode ever-expanding interaction histories.BAIT: Can LLMs Find What Biases a Reader? A Benchmark for Cognitive Bias Triggers in News
Persuasive writing exploits cognitive biases, recruiting a reader's mental shortcuts to shape belief, often without the reader noticing.ClawMMU: Protection-Coherent Virtual Memory for Stateful LLM Agents
AI agents keep long-term memory, much of which comes from web pages and tool results.